Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"The Ohio State University" +contributor:("Parthasarathy, Srinivasan"). Showing records 1 – 29 of 29 total matches.

Search Limiters

Last 2 Years | English Only

▼ Search Limiters


The Ohio State University

1. Das, Mahashweta. Spatio-Temporal Anomaly Detection.

Degree: MS, Computer Science and Engineering, 2009, The Ohio State University

 Recent advances in computational sciences have led to the generation and utilization of enormous amounts of spatio-temporal data in numerous scientific disciplines, such as wireless… (more)

Subjects/Keywords: Computer Science; Anomaly Detection; Spatio-Temporal Mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Das, M. (2009). Spatio-Temporal Anomaly Detection. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196

Chicago Manual of Style (16th Edition):

Das, Mahashweta. “Spatio-Temporal Anomaly Detection.” 2009. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196.

MLA Handbook (7th Edition):

Das, Mahashweta. “Spatio-Temporal Anomaly Detection.” 2009. Web. 21 Feb 2020.

Vancouver:

Das M. Spatio-Temporal Anomaly Detection. [Internet] [Masters thesis]. The Ohio State University; 2009. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196.

Council of Science Editors:

Das M. Spatio-Temporal Anomaly Detection. [Masters Thesis]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196


The Ohio State University

2. Marsolo, Keith Allen. A workflow for the modeling and analysis of biomedical data.

Degree: PhD, Computer and Information Science, 2007, The Ohio State University

 The use of data mining techniques for the classification of shape and structure can provide critical results when applied biomedical data. On a molecular level,… (more)

Subjects/Keywords: Computer Science; Biomedical Data Modeling; Spatial Modeling; Biomedical Knowledge Discovery; Classification of Structure-based Data.; Bioinformatics; Protein Modeling; Protein Classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Marsolo, K. A. (2007). A workflow for the modeling and analysis of biomedical data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265

Chicago Manual of Style (16th Edition):

Marsolo, Keith Allen. “A workflow for the modeling and analysis of biomedical data.” 2007. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265.

MLA Handbook (7th Edition):

Marsolo, Keith Allen. “A workflow for the modeling and analysis of biomedical data.” 2007. Web. 21 Feb 2020.

Vancouver:

Marsolo KA. A workflow for the modeling and analysis of biomedical data. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265.

Council of Science Editors:

Marsolo KA. A workflow for the modeling and analysis of biomedical data. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265


The Ohio State University

3. Ghoting, Amol. Memory- and knowledge-conscious data mining.

Degree: PhD, Computer and Information Science, 2007, The Ohio State University

 Advances in data collection and storage technologies have allowed organizations to collect increasing amounts of data. Spurred by these advances, the field of knowledge discovery… (more)

Subjects/Keywords: Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghoting, A. (2007). Memory- and knowledge-conscious data mining. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1186979749

Chicago Manual of Style (16th Edition):

Ghoting, Amol. “Memory- and knowledge-conscious data mining.” 2007. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1186979749.

MLA Handbook (7th Edition):

Ghoting, Amol. “Memory- and knowledge-conscious data mining.” 2007. Web. 21 Feb 2020.

Vancouver:

Ghoting A. Memory- and knowledge-conscious data mining. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1186979749.

Council of Science Editors:

Ghoting A. Memory- and knowledge-conscious data mining. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1186979749


The Ohio State University

4. Agarwal, Khushbu. A partition based approach to approximate tree mining : a memory hierarchy perspective.

Degree: MS, Computer and Information Science, 2007, The Ohio State University

 In the last decade or so, database community is entering a new arena with generation of petabytes of data. In addition to the storage challenges… (more)

Subjects/Keywords: Computer Science; Data Mining; Tree Partitioning; Memory Based Approximation; Data Preprocessing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Agarwal, K. (2007). A partition based approach to approximate tree mining : a memory hierarchy perspective. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256

Chicago Manual of Style (16th Edition):

Agarwal, Khushbu. “A partition based approach to approximate tree mining : a memory hierarchy perspective.” 2007. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256.

MLA Handbook (7th Edition):

Agarwal, Khushbu. “A partition based approach to approximate tree mining : a memory hierarchy perspective.” 2007. Web. 21 Feb 2020.

Vancouver:

Agarwal K. A partition based approach to approximate tree mining : a memory hierarchy perspective. [Internet] [Masters thesis]. The Ohio State University; 2007. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256.

Council of Science Editors:

Agarwal K. A partition based approach to approximate tree mining : a memory hierarchy perspective. [Masters Thesis]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256


The Ohio State University

5. Wang, Chao. Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data.

Degree: PhD, Computer and Information Science, 2008, The Ohio State University

 This work seeks to develop a probabilistic framework for modeling, querying and analyzing large-scale structured and semi-structured data. The framework has three components: (1) Mining… (more)

Subjects/Keywords: Computer Science; Probabilistic Graphical Model; Undirected Graphical Model; Markov Random Field; Maximum Entropy; Feature Selection; Frequent Pattern Mining; Non-Redundant Frequent Pattern; Structured and Semi-Structure Data; Social Network Analysis; Link Prediction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, C. (2008). Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713

Chicago Manual of Style (16th Edition):

Wang, Chao. “Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data.” 2008. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713.

MLA Handbook (7th Edition):

Wang, Chao. “Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data.” 2008. Web. 21 Feb 2020.

Vancouver:

Wang C. Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713.

Council of Science Editors:

Wang C. Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713


The Ohio State University

6. Asur, Sitaram. A Framework for the Static and Dynamic Analysis of Interaction Graphs.

Degree: PhD, Computer Science and Engineering, 2009, The Ohio State University

  Data originating from many different real-world domains can be represented meaningfully as interaction networks. Examples abound, rangingfrom gene expression networks to social networks, and… (more)

Subjects/Keywords: Computer Science; data mining; interaction graphs

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Asur, S. (2009). A Framework for the Static and Dynamic Analysis of Interaction Graphs. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1243902523

Chicago Manual of Style (16th Edition):

Asur, Sitaram. “A Framework for the Static and Dynamic Analysis of Interaction Graphs.” 2009. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1243902523.

MLA Handbook (7th Edition):

Asur, Sitaram. “A Framework for the Static and Dynamic Analysis of Interaction Graphs.” 2009. Web. 21 Feb 2020.

Vancouver:

Asur S. A Framework for the Static and Dynamic Analysis of Interaction Graphs. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1243902523.

Council of Science Editors:

Asur S. A Framework for the Static and Dynamic Analysis of Interaction Graphs. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1243902523


The Ohio State University

7. Agarwal, Abhijat. A New Approach to Spatio-Temporal Kriging and Its Applications.

Degree: MS, Computer Science and Engineering, 2011, The Ohio State University

  Stochastic spatio-temporal variability is often observed in naturally occurring phenomena. It had always been a challenge to predict their behavior in space and time.… (more)

Subjects/Keywords: Climate Change; Computer Science; Geography; Statistics; Spatio-Temporal; Universal Kriging; ARIMA; Prediction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Agarwal, A. (2011). A New Approach to Spatio-Temporal Kriging and Its Applications. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1306871646

Chicago Manual of Style (16th Edition):

Agarwal, Abhijat. “A New Approach to Spatio-Temporal Kriging and Its Applications.” 2011. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306871646.

MLA Handbook (7th Edition):

Agarwal, Abhijat. “A New Approach to Spatio-Temporal Kriging and Its Applications.” 2011. Web. 21 Feb 2020.

Vancouver:

Agarwal A. A New Approach to Spatio-Temporal Kriging and Its Applications. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306871646.

Council of Science Editors:

Agarwal A. A New Approach to Spatio-Temporal Kriging and Its Applications. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306871646


The Ohio State University

8. Faisal, S M. Towards Energy Efficient Data Mining & Graph Processing.

Degree: PhD, Computer Science and Engineering, 2015, The Ohio State University

 Ever increasing energy cost is one of the most critical concerns for large scale deployments of data centers. As the demand for large scale data… (more)

Subjects/Keywords: Computer Science; Energy Efficiency; Data Mining; Graph Processing; Energy Efficient Computing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Faisal, S. M. (2015). Towards Energy Efficient Data Mining & Graph Processing. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1440364739

Chicago Manual of Style (16th Edition):

Faisal, S M. “Towards Energy Efficient Data Mining & Graph Processing.” 2015. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440364739.

MLA Handbook (7th Edition):

Faisal, S M. “Towards Energy Efficient Data Mining & Graph Processing.” 2015. Web. 21 Feb 2020.

Vancouver:

Faisal SM. Towards Energy Efficient Data Mining & Graph Processing. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440364739.

Council of Science Editors:

Faisal SM. Towards Energy Efficient Data Mining & Graph Processing. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440364739


The Ohio State University

9. Fuhry, David P. PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data.

Degree: PhD, Computer Science and Engineering, 2015, The Ohio State University

 Making sense of, analyzing, and extracting useful information from large and complex data is a grand challenge. A user tasked with meeting this challenge is… (more)

Subjects/Keywords: Computer Science; Network Analytics; Graph Analytics; High-Dimensional Data; Visualization; PLASMA-HD; Graph Growth; Approximate Itemset Mining; Parallel Coordinates

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fuhry, D. P. (2015). PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146

Chicago Manual of Style (16th Edition):

Fuhry, David P. “PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data.” 2015. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146.

MLA Handbook (7th Edition):

Fuhry, David P. “PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data.” 2015. Web. 21 Feb 2020.

Vancouver:

Fuhry DP. PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146.

Council of Science Editors:

Fuhry DP. PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146


The Ohio State University

10. Roychowdhury, Anirban. Robust and Scalable Algorithms for Bayesian Nonparametric Machine Learning.

Degree: PhD, Computer Science and Engineering, 2017, The Ohio State University

 Bayesian nonparametric techniques provide a rich set of tools for modeling complex probabilistic machine learning problems. However the richness comes at the cost of significant… (more)

Subjects/Keywords: Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Roychowdhury, A. (2017). Robust and Scalable Algorithms for Bayesian Nonparametric Machine Learning. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1511901271093727

Chicago Manual of Style (16th Edition):

Roychowdhury, Anirban. “Robust and Scalable Algorithms for Bayesian Nonparametric Machine Learning.” 2017. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511901271093727.

MLA Handbook (7th Edition):

Roychowdhury, Anirban. “Robust and Scalable Algorithms for Bayesian Nonparametric Machine Learning.” 2017. Web. 21 Feb 2020.

Vancouver:

Roychowdhury A. Robust and Scalable Algorithms for Bayesian Nonparametric Machine Learning. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1511901271093727.

Council of Science Editors:

Roychowdhury A. Robust and Scalable Algorithms for Bayesian Nonparametric Machine Learning. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1511901271093727


The Ohio State University

11. Gad, Soumyashree Shrikant, Gad. Semantic Analysis of Ladder Logic.

Degree: MS, Computer Science and Engineering, 2017, The Ohio State University

 Purpose: A careful examination of Ladder Logic program reveals it’s hierarchicalnature and components, which makes it interpret able. Perhaps, using data miningtechniques to interpret the… (more)

Subjects/Keywords: Computer Science; Ladder Logic, Classification, Machine Learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gad, Soumyashree Shrikant, G. (2017). Semantic Analysis of Ladder Logic. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1502740043946349

Chicago Manual of Style (16th Edition):

Gad, Soumyashree Shrikant, Gad. “Semantic Analysis of Ladder Logic.” 2017. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1502740043946349.

MLA Handbook (7th Edition):

Gad, Soumyashree Shrikant, Gad. “Semantic Analysis of Ladder Logic.” 2017. Web. 21 Feb 2020.

Vancouver:

Gad, Soumyashree Shrikant G. Semantic Analysis of Ladder Logic. [Internet] [Masters thesis]. The Ohio State University; 2017. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1502740043946349.

Council of Science Editors:

Gad, Soumyashree Shrikant G. Semantic Analysis of Ladder Logic. [Masters Thesis]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1502740043946349


The Ohio State University

12. Liang, Jiongqian. Human-in-the-loop Machine Learning: Algorithms and Applications.

Degree: PhD, Computer Science and Engineering, 2018, The Ohio State University

 Machine learning is the process of learning meaningful patterns and extracting useful knowledge from data using computational and statistical techniques. While the overall goal is… (more)

Subjects/Keywords: Computer Science; machine learning; human-in-the-loop; human guidance; outlier detection; graph mining; graph embedding

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liang, J. (2018). Human-in-the-loop Machine Learning: Algorithms and Applications. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1523988406039076

Chicago Manual of Style (16th Edition):

Liang, Jiongqian. “Human-in-the-loop Machine Learning: Algorithms and Applications.” 2018. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523988406039076.

MLA Handbook (7th Edition):

Liang, Jiongqian. “Human-in-the-loop Machine Learning: Algorithms and Applications.” 2018. Web. 21 Feb 2020.

Vancouver:

Liang J. Human-in-the-loop Machine Learning: Algorithms and Applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1523988406039076.

Council of Science Editors:

Liang J. Human-in-the-loop Machine Learning: Algorithms and Applications. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1523988406039076


The Ohio State University

13. Wang, Yu. Revisiting Network Sampling.

Degree: PhD, Computer Science and Engineering, 2019, The Ohio State University

 Networks are an expressive tool to represent relational data in various domains: an email network in a corporate, a co-sponsorship network in Congress, a co-authorship… (more)

Subjects/Keywords: Computer Science; Statistics; Social Networks, Sampling, Dynamic Networks, Community Detection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Y. (2019). Revisiting Network Sampling. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593

Chicago Manual of Style (16th Edition):

Wang, Yu. “Revisiting Network Sampling.” 2019. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593.

MLA Handbook (7th Edition):

Wang, Yu. “Revisiting Network Sampling.” 2019. Web. 21 Feb 2020.

Vancouver:

Wang Y. Revisiting Network Sampling. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593.

Council of Science Editors:

Wang Y. Revisiting Network Sampling. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593

14. Ruan, Yiye. Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics.

Degree: PhD, Computer Science and Engineering, 2015, The Ohio State University

 Online social networks (OSNs) allow Internet users all over the globe to share information, exchange thoughts, and work collaboratively. Not only do OSNs provide a… (more)

Subjects/Keywords: Computer Science; data mining; online social networks; graph mining; community detection; structural role detection; sentiment analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ruan, Y. (2015). Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1420765022

Chicago Manual of Style (16th Edition):

Ruan, Yiye. “Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics.” 2015. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420765022.

MLA Handbook (7th Edition):

Ruan, Yiye. “Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics.” 2015. Web. 21 Feb 2020.

Vancouver:

Ruan Y. Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1420765022.

Council of Science Editors:

Ruan Y. Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1420765022

15. Shih, Yu-Keng. Identifying Protein Functions and Biological Systems through Exploring Biological Networks.

Degree: PhD, Computer Science and Engineering, 2014, The Ohio State University

 Advances in biological high-throughput technology have led to an increased amount of available data on various biological interactions, including protein-protein interaction (PPI), protein-DNA/RNA interaction, genetic… (more)

Subjects/Keywords: Computer Science

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shih, Y. (2014). Identifying Protein Functions and Biological Systems through Exploring Biological Networks. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1388676152

Chicago Manual of Style (16th Edition):

Shih, Yu-Keng. “Identifying Protein Functions and Biological Systems through Exploring Biological Networks.” 2014. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388676152.

MLA Handbook (7th Edition):

Shih, Yu-Keng. “Identifying Protein Functions and Biological Systems through Exploring Biological Networks.” 2014. Web. 21 Feb 2020.

Vancouver:

Shih Y. Identifying Protein Functions and Biological Systems through Exploring Biological Networks. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388676152.

Council of Science Editors:

Shih Y. Identifying Protein Functions and Biological Systems through Exploring Biological Networks. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388676152

16. Zhang, Yang. Visually Analyzing Large Scale Graphs.

Degree: PhD, Computer Science and Engineering, 2015, The Ohio State University

 Many datasets can be modeled as graphs, and graphs naturally capture the relations among entities in the datasets. Graph visualization is an effective way to… (more)

Subjects/Keywords: Computer Science

…Master of Science, the Ohio State University, United States 05/2013 - 08/2013… …Student, the Ohio State University, United States Publications Research Publications Yang Zhang… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, Y. (2015). Visually Analyzing Large Scale Graphs. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1439951819

Chicago Manual of Style (16th Edition):

Zhang, Yang. “Visually Analyzing Large Scale Graphs.” 2015. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1439951819.

MLA Handbook (7th Edition):

Zhang, Yang. “Visually Analyzing Large Scale Graphs.” 2015. Web. 21 Feb 2020.

Vancouver:

Zhang Y. Visually Analyzing Large Scale Graphs. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1439951819.

Council of Science Editors:

Zhang Y. Visually Analyzing Large Scale Graphs. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1439951819

17. Tatikonda, Shirish. Towards Efficient Data Analysis and Management of Semi-structured Data.

Degree: PhD, Computer Science and Engineering, 2010, The Ohio State University

  Over the last decade, there has been an enormous growth in both the amountand the complexity of online content that is collected and processed… (more)

Subjects/Keywords: Computer Science; semi-structured data; data mining; data management; high performance computing; databases; architecture-conscious techniques; trees; multicore systems

…and Engineering The Ohio State University Oct 2008-Dec 2008… 

Page 1 Page 2 Page 3 Page 4 Page 5

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tatikonda, S. (2010). Towards Efficient Data Analysis and Management of Semi-structured Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414859

Chicago Manual of Style (16th Edition):

Tatikonda, Shirish. “Towards Efficient Data Analysis and Management of Semi-structured Data.” 2010. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414859.

MLA Handbook (7th Edition):

Tatikonda, Shirish. “Towards Efficient Data Analysis and Management of Semi-structured Data.” 2010. Web. 21 Feb 2020.

Vancouver:

Tatikonda S. Towards Efficient Data Analysis and Management of Semi-structured Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414859.

Council of Science Editors:

Tatikonda S. Towards Efficient Data Analysis and Management of Semi-structured Data. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414859

18. Buehrer, Gregory T. Scalable mining on emerging architectures.

Degree: PhD, Computer and Information Science, 2008, The Ohio State University

 Data mining is the process of discovering interesting and previously unknown information from such stores. Recent advances in data collection technology have generated large-scale data… (more)

Subjects/Keywords: Computer Science; Data mining; CMPs; high performance; log-linear pattern mining

Page 1 Page 2 Page 3 Page 4 Page 5

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Buehrer, G. T. (2008). Scalable mining on emerging architectures. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1198866625

Chicago Manual of Style (16th Edition):

Buehrer, Gregory T. “Scalable mining on emerging architectures.” 2008. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1198866625.

MLA Handbook (7th Edition):

Buehrer, Gregory T. “Scalable mining on emerging architectures.” 2008. Web. 21 Feb 2020.

Vancouver:

Buehrer GT. Scalable mining on emerging architectures. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1198866625.

Council of Science Editors:

Buehrer GT. Scalable mining on emerging architectures. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1198866625

19. Varia, Siddharth. REGULARIZED MARKOV CLUSTERING IN MPI AND MAP REDUCE.

Degree: MS, Computer Science and Engineering, 2013, The Ohio State University

 The major objective of this thesis is to exploit parallelism in the clustering of graphsbased on the simulation of stochastic flows and propose a scalable… (more)

Subjects/Keywords: Computer Science; MPI, MapReduce, Graphs

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Varia, S. (2013). REGULARIZED MARKOV CLUSTERING IN MPI AND MAP REDUCE. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1374153215

Chicago Manual of Style (16th Edition):

Varia, Siddharth. “REGULARIZED MARKOV CLUSTERING IN MPI AND MAP REDUCE.” 2013. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374153215.

MLA Handbook (7th Edition):

Varia, Siddharth. “REGULARIZED MARKOV CLUSTERING IN MPI AND MAP REDUCE.” 2013. Web. 21 Feb 2020.

Vancouver:

Varia S. REGULARIZED MARKOV CLUSTERING IN MPI AND MAP REDUCE. [Internet] [Masters thesis]. The Ohio State University; 2013. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1374153215.

Council of Science Editors:

Varia S. REGULARIZED MARKOV CLUSTERING IN MPI AND MAP REDUCE. [Masters Thesis]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1374153215

20. Satuluri, Venu M. Scalable Clustering of Modern Networks.

Degree: PhD, Computer Science and Engineering, 2012, The Ohio State University

  Graphs (or networks) provide a simple yet powerful model forcapturing the interactions or relationships between the entitiesin many different domains. This dissertation focusses on… (more)

Subjects/Keywords: Computer Science; Graph Clustering; Community Discovery; Graphs; Networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Satuluri, V. M. (2012). Scalable Clustering of Modern Networks. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1332477695

Chicago Manual of Style (16th Edition):

Satuluri, Venu M. “Scalable Clustering of Modern Networks.” 2012. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1332477695.

MLA Handbook (7th Edition):

Satuluri, Venu M. “Scalable Clustering of Modern Networks.” 2012. Web. 21 Feb 2020.

Vancouver:

Satuluri VM. Scalable Clustering of Modern Networks. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1332477695.

Council of Science Editors:

Satuluri VM. Scalable Clustering of Modern Networks. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1332477695

21. Goyder, Matthew. Knowledge Accelerated Algorithms and the Knowledge Cache.

Degree: MS, Computer Science and Engineering, 2012, The Ohio State University

  Knowledge discovery through data mining is the process of automatically extract- ing actionable information from data, that is, the information or knowledge found within… (more)

Subjects/Keywords: Computer Science; data mining; knowledge caching; clustering; frequent itemset mining

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Goyder, M. (2012). Knowledge Accelerated Algorithms and the Knowledge Cache. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1339763385

Chicago Manual of Style (16th Edition):

Goyder, Matthew. “Knowledge Accelerated Algorithms and the Knowledge Cache.” 2012. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339763385.

MLA Handbook (7th Edition):

Goyder, Matthew. “Knowledge Accelerated Algorithms and the Knowledge Cache.” 2012. Web. 21 Feb 2020.

Vancouver:

Goyder M. Knowledge Accelerated Algorithms and the Knowledge Cache. [Internet] [Masters thesis]. The Ohio State University; 2012. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1339763385.

Council of Science Editors:

Goyder M. Knowledge Accelerated Algorithms and the Knowledge Cache. [Masters Thesis]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1339763385

22. Wang, Ye. Next Generation Outlier Detection.

Degree: PhD, Computer Science and Engineering, 2014, The Ohio State University

 Outlier detection is a fundamental task that is used in numerous data analytic applications. It tackles the problem of identifying rare or atypical points that… (more)

Subjects/Keywords: Computer Science; Outiler Detection, Data mining, Algorithms, Scalability, Performance

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Y. (2014). Next Generation Outlier Detection. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1397704520

Chicago Manual of Style (16th Edition):

Wang, Ye. “Next Generation Outlier Detection.” 2014. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397704520.

MLA Handbook (7th Edition):

Wang, Ye. “Next Generation Outlier Detection.” 2014. Web. 21 Feb 2020.

Vancouver:

Wang Y. Next Generation Outlier Detection. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1397704520.

Council of Science Editors:

Wang Y. Next Generation Outlier Detection. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1397704520

23. Yang, Xintian. Towards large-scale network analytics.

Degree: PhD, Computer Science and Engineering, 2012, The Ohio State University

 In this thesis, we present a framework for efficient analysis of large-scale network datasets. There are four important components in our framework: a) a high… (more)

Subjects/Keywords: Computer Science; Data summarization; Large-scale graph mining; Visualization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, X. (2012). Towards large-scale network analytics. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1343680930

Chicago Manual of Style (16th Edition):

Yang, Xintian. “Towards large-scale network analytics.” 2012. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343680930.

MLA Handbook (7th Edition):

Yang, Xintian. “Towards large-scale network analytics.” 2012. Web. 21 Feb 2020.

Vancouver:

Yang X. Towards large-scale network analytics. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1343680930.

Council of Science Editors:

Yang X. Towards large-scale network analytics. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1343680930

24. Nair, Ashwati. Capturing Vortex Dynamics to Predict Acoustic Response using Machine Learning.

Degree: MS, Computer Science and Engineering, 2019, The Ohio State University

 Deep learning has become a ubiquitous technology applied widely in scientific as well as non-scientific data domains, alike. Even though, they have shown significant improvements… (more)

Subjects/Keywords: Computer Science; Computer Engineering; Machine Learning, Jet Noise, Vortex, LSTM network

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nair, A. (2019). Capturing Vortex Dynamics to Predict Acoustic Response using Machine Learning. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1546427424013197

Chicago Manual of Style (16th Edition):

Nair, Ashwati. “Capturing Vortex Dynamics to Predict Acoustic Response using Machine Learning.” 2019. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1546427424013197.

MLA Handbook (7th Edition):

Nair, Ashwati. “Capturing Vortex Dynamics to Predict Acoustic Response using Machine Learning.” 2019. Web. 21 Feb 2020.

Vancouver:

Nair A. Capturing Vortex Dynamics to Predict Acoustic Response using Machine Learning. [Internet] [Masters thesis]. The Ohio State University; 2019. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546427424013197.

Council of Science Editors:

Nair A. Capturing Vortex Dynamics to Predict Acoustic Response using Machine Learning. [Masters Thesis]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546427424013197

25. Shanmugam Sakthivadivel, Saravanakumar. Fast-NetMF: Graph Embedding Generation on Single GPU and Multi-core CPUs with NetMF.

Degree: MS, Computer Science and Engineering, 2019, The Ohio State University

 There is growing interest for learning representations for nodes in a network. Several embedding generation algorithms have been proposed in the last few years that… (more)

Subjects/Keywords: Computer Science; Computer Engineering; network representation learning; graph embedding; network embedding; NetMF; high performance computing; CUDA; Intel MKL; Fast-NetMF

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shanmugam Sakthivadivel, S. (2019). Fast-NetMF: Graph Embedding Generation on Single GPU and Multi-core CPUs with NetMF. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1557162076041442

Chicago Manual of Style (16th Edition):

Shanmugam Sakthivadivel, Saravanakumar. “Fast-NetMF: Graph Embedding Generation on Single GPU and Multi-core CPUs with NetMF.” 2019. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1557162076041442.

MLA Handbook (7th Edition):

Shanmugam Sakthivadivel, Saravanakumar. “Fast-NetMF: Graph Embedding Generation on Single GPU and Multi-core CPUs with NetMF.” 2019. Web. 21 Feb 2020.

Vancouver:

Shanmugam Sakthivadivel S. Fast-NetMF: Graph Embedding Generation on Single GPU and Multi-core CPUs with NetMF. [Internet] [Masters thesis]. The Ohio State University; 2019. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1557162076041442.

Council of Science Editors:

Shanmugam Sakthivadivel S. Fast-NetMF: Graph Embedding Generation on Single GPU and Multi-core CPUs with NetMF. [Masters Thesis]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1557162076041442

26. Chakrabarti, Aniket. Scaling Analytics via Approximate and Distributed Computing.

Degree: PhD, Computer Science and Engineering, 2017, The Ohio State University

 The amount data generated from different sources everyday is increasing exponentially and for businesses to generate actionable insights, it is paramount that the analyses complete… (more)

Subjects/Keywords: Computer Science; Approximate Computing; Distributed Computing; Locality Sensitive Hashing; Kernel Learning; Markov Random Field; Pareto Frontier; Analytics Frameworks

…Computer Science and Engineering, The Ohio State University, USA. December 2015… …MS, Computer Science and Engineering, The Ohio State University, USA. December 2007… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chakrabarti, A. (2017). Scaling Analytics via Approximate and Distributed Computing. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1500473400586782

Chicago Manual of Style (16th Edition):

Chakrabarti, Aniket. “Scaling Analytics via Approximate and Distributed Computing.” 2017. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500473400586782.

MLA Handbook (7th Edition):

Chakrabarti, Aniket. “Scaling Analytics via Approximate and Distributed Computing.” 2017. Web. 21 Feb 2020.

Vancouver:

Chakrabarti A. Scaling Analytics via Approximate and Distributed Computing. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500473400586782.

Council of Science Editors:

Chakrabarti A. Scaling Analytics via Approximate and Distributed Computing. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500473400586782


The Ohio State University

27. Ganesh, Kandalgaonkar Amol. Enhancing an intrusion detection system framework using selective feedback.

Degree: MS, Computer and Information Science, 2003, The Ohio State University

 With the evolution of Internet more corporations have built their own internal and external networks. In today's world where nearly every company is dependent on… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ganesh, K. A. (2003). Enhancing an intrusion detection system framework using selective feedback. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1162313091

Chicago Manual of Style (16th Edition):

Ganesh, Kandalgaonkar Amol. “Enhancing an intrusion detection system framework using selective feedback.” 2003. Masters Thesis, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1162313091.

MLA Handbook (7th Edition):

Ganesh, Kandalgaonkar Amol. “Enhancing an intrusion detection system framework using selective feedback.” 2003. Web. 21 Feb 2020.

Vancouver:

Ganesh KA. Enhancing an intrusion detection system framework using selective feedback. [Internet] [Masters thesis]. The Ohio State University; 2003. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1162313091.

Council of Science Editors:

Ganesh KA. Enhancing an intrusion detection system framework using selective feedback. [Masters Thesis]. The Ohio State University; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1162313091


The Ohio State University

28. Otey, Matthew Eric. Approaches to Abnormality Detection with Constraints.

Degree: PhD, Computer and Information Science, 2006, The Ohio State University

 A common problem in data analysis is that of discriminating between modes of normal behavior and modes of abnormal behavior. Of particular interest are techniques… (more)

Subjects/Keywords: Computer Science; abnormality detection; anomaly detection; signature detection; outlier detection; data mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Otey, M. E. (2006). Approaches to Abnormality Detection with Constraints. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1150484039

Chicago Manual of Style (16th Edition):

Otey, Matthew Eric. “Approaches to Abnormality Detection with Constraints.” 2006. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1150484039.

MLA Handbook (7th Edition):

Otey, Matthew Eric. “Approaches to Abnormality Detection with Constraints.” 2006. Web. 21 Feb 2020.

Vancouver:

Otey ME. Approaches to Abnormality Detection with Constraints. [Internet] [Doctoral dissertation]. The Ohio State University; 2006. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1150484039.

Council of Science Editors:

Otey ME. Approaches to Abnormality Detection with Constraints. [Doctoral Dissertation]. The Ohio State University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1150484039


The Ohio State University

29. Yang, Hui. A general framework for mining spatial and spatio-temporal object association patterns in scientific data.

Degree: PhD, Computer and Information Science, 2006, The Ohio State University

 Advances in computational sciences and data collection techniques have resulted in the accumulation of huge amounts of spatial or spatio-temporal data in a wide range… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, H. (2006). A general framework for mining spatial and spatio-temporal object association patterns in scientific data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1155319799

Chicago Manual of Style (16th Edition):

Yang, Hui. “A general framework for mining spatial and spatio-temporal object association patterns in scientific data.” 2006. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1155319799.

MLA Handbook (7th Edition):

Yang, Hui. “A general framework for mining spatial and spatio-temporal object association patterns in scientific data.” 2006. Web. 21 Feb 2020.

Vancouver:

Yang H. A general framework for mining spatial and spatio-temporal object association patterns in scientific data. [Internet] [Doctoral dissertation]. The Ohio State University; 2006. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1155319799.

Council of Science Editors:

Yang H. A general framework for mining spatial and spatio-temporal object association patterns in scientific data. [Doctoral Dissertation]. The Ohio State University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1155319799

.