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:"Clemson University" +contributor:("Ilya Safro"). Showing records 1 – 12 of 12 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Clemson University

1. Qiu, Zirou. ELRUNA: Elimination Rule-based Network Alignment.

Degree: MS, School of Computing, 2020, Clemson University

  Networks model a variety of complex phenomena across different domains. In many applications, one of the most essential tasks is to align two or… (more)

Subjects/Keywords: combinatorial optimization; data mining; graph mining; network alignment

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Qiu, Z. (2020). ELRUNA: Elimination Rule-based Network Alignment. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/3271

Chicago Manual of Style (16th Edition):

Qiu, Zirou. “ELRUNA: Elimination Rule-based Network Alignment.” 2020. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/3271.

MLA Handbook (7th Edition):

Qiu, Zirou. “ELRUNA: Elimination Rule-based Network Alignment.” 2020. Web. 04 Aug 2020.

Vancouver:

Qiu Z. ELRUNA: Elimination Rule-based Network Alignment. [Internet] [Masters thesis]. Clemson University; 2020. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/3271.

Council of Science Editors:

Qiu Z. ELRUNA: Elimination Rule-based Network Alignment. [Masters Thesis]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_theses/3271


Clemson University

2. Wu, Bo. Complex Network Analysis and the Applications in Vehicle Delay-Tolerant Networks.

Degree: PhD, Electrical and Computer Engineering (Holcomb Dept. of), 2016, Clemson University

  Vehicle Delay Tolerant Networks (VDTNs) is a particular kind of Delay Tolerant Networks (DTNs), where vehicles equipped with transmission capabilities are interconnected to form… (more)

Subjects/Keywords: complex network; delay tolerant network; vehicle network

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wu, B. (2016). Complex Network Analysis and the Applications in Vehicle Delay-Tolerant Networks. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2312

Chicago Manual of Style (16th Edition):

Wu, Bo. “Complex Network Analysis and the Applications in Vehicle Delay-Tolerant Networks.” 2016. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2312.

MLA Handbook (7th Edition):

Wu, Bo. “Complex Network Analysis and the Applications in Vehicle Delay-Tolerant Networks.” 2016. Web. 04 Aug 2020.

Vancouver:

Wu B. Complex Network Analysis and the Applications in Vehicle Delay-Tolerant Networks. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2312.

Council of Science Editors:

Wu B. Complex Network Analysis and the Applications in Vehicle Delay-Tolerant Networks. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/2312


Clemson University

3. Du, Yuheng. Streaming Infrastructure and Natural Language Modeling with Application to Streaming Big Data.

Degree: PhD, School of Computing, 2019, Clemson University

  Streaming data are produced in great velocity and diverse variety. The vision of this research is to build an end-to-end system that handles the… (more)

Subjects/Keywords: Distributed Data Delivery Systems; Natural Language Understanding

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Du, Y. (2019). Streaming Infrastructure and Natural Language Modeling with Application to Streaming Big Data. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2329

Chicago Manual of Style (16th Edition):

Du, Yuheng. “Streaming Infrastructure and Natural Language Modeling with Application to Streaming Big Data.” 2019. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2329.

MLA Handbook (7th Edition):

Du, Yuheng. “Streaming Infrastructure and Natural Language Modeling with Application to Streaming Big Data.” 2019. Web. 04 Aug 2020.

Vancouver:

Du Y. Streaming Infrastructure and Natural Language Modeling with Application to Streaming Big Data. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2329.

Council of Science Editors:

Du Y. Streaming Infrastructure and Natural Language Modeling with Application to Streaming Big Data. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2329


Clemson University

4. Sybrandt, Justin George. Exploiting Latent Features of Text and Graphs.

Degree: PhD, School of Computing, 2020, Clemson University

  As the size and scope of online data continues to grow, new machine learning techniques become necessary to best capitalize on the wealth of… (more)

Subjects/Keywords: Conditional Text Generation; Graph Embedding; Hypergraph Partitioning; Hypothesis Generation; Literature-based Discovery; Text Embedding

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sybrandt, J. G. (2020). Exploiting Latent Features of Text and Graphs. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2592

Chicago Manual of Style (16th Edition):

Sybrandt, Justin George. “Exploiting Latent Features of Text and Graphs.” 2020. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2592.

MLA Handbook (7th Edition):

Sybrandt, Justin George. “Exploiting Latent Features of Text and Graphs.” 2020. Web. 04 Aug 2020.

Vancouver:

Sybrandt JG. Exploiting Latent Features of Text and Graphs. [Internet] [Doctoral dissertation]. Clemson University; 2020. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2592.

Council of Science Editors:

Sybrandt JG. Exploiting Latent Features of Text and Graphs. [Doctoral Dissertation]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_dissertations/2592


Clemson University

5. Chauhan, Varsha. Planar Graph Generation with Application to Water Distribution Networks.

Degree: MS, School of Computing, 2018, Clemson University

 The study of network representations of physical, biological, and social phenomena can help us better understand their structure and functional dynamics as well as formulate… (more)

Subjects/Keywords: Multiscale Graph generation; Planar Graphs; Water Distribution System Optimization; Water Networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chauhan, V. (2018). Planar Graph Generation with Application to Water Distribution Networks. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2975

Chicago Manual of Style (16th Edition):

Chauhan, Varsha. “Planar Graph Generation with Application to Water Distribution Networks.” 2018. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2975.

MLA Handbook (7th Edition):

Chauhan, Varsha. “Planar Graph Generation with Application to Water Distribution Networks.” 2018. Web. 04 Aug 2020.

Vancouver:

Chauhan V. Planar Graph Generation with Application to Water Distribution Networks. [Internet] [Masters thesis]. Clemson University; 2018. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2975.

Council of Science Editors:

Chauhan V. Planar Graph Generation with Application to Water Distribution Networks. [Masters Thesis]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_theses/2975


Clemson University

6. Ushijima-Mwesigwa, Hayato Montezuma. Models for Networks with Consumable Resources: Applications to Smart Cities.

Degree: PhD, School of Computing, 2018, Clemson University

 In this dissertation, we introduce different models for understanding and controlling the spreading dynamics of a network with a consumable resource. In particular, we consider… (more)

Subjects/Keywords: Centrality; Complex Networks; Graph Algorithms; Integer Programming; Network Analysis; Network Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ushijima-Mwesigwa, H. M. (2018). Models for Networks with Consumable Resources: Applications to Smart Cities. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2284

Chicago Manual of Style (16th Edition):

Ushijima-Mwesigwa, Hayato Montezuma. “Models for Networks with Consumable Resources: Applications to Smart Cities.” 2018. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2284.

MLA Handbook (7th Edition):

Ushijima-Mwesigwa, Hayato Montezuma. “Models for Networks with Consumable Resources: Applications to Smart Cities.” 2018. Web. 04 Aug 2020.

Vancouver:

Ushijima-Mwesigwa HM. Models for Networks with Consumable Resources: Applications to Smart Cities. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2284.

Council of Science Editors:

Ushijima-Mwesigwa HM. Models for Networks with Consumable Resources: Applications to Smart Cities. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2284


Clemson University

7. Feng, Haotian. Performance of Latent Dirichlet Allocation with Different Topic and Document Structures.

Degree: PhD, Mathematical Sciences, 2019, Clemson University

  Topic modeling has been used widely to extract the structures (topics) in a collection (corpus) of documents. One popular method is the Latent Dirichlet… (more)

Subjects/Keywords: Evaluation; Experimental Design; LDA; Pre-processing; Simulation; Topic Modeling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Feng, H. (2019). Performance of Latent Dirichlet Allocation with Different Topic and Document Structures. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2448

Chicago Manual of Style (16th Edition):

Feng, Haotian. “Performance of Latent Dirichlet Allocation with Different Topic and Document Structures.” 2019. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2448.

MLA Handbook (7th Edition):

Feng, Haotian. “Performance of Latent Dirichlet Allocation with Different Topic and Document Structures.” 2019. Web. 04 Aug 2020.

Vancouver:

Feng H. Performance of Latent Dirichlet Allocation with Different Topic and Document Structures. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2448.

Council of Science Editors:

Feng H. Performance of Latent Dirichlet Allocation with Different Topic and Document Structures. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2448


Clemson University

8. Mohan, Raghuveer. Efficient Analytics for Large Implicit Correlation Networks.

Degree: PhD, Computer Science, 2016, Clemson University

 Large “correlation”-type networks have applications in machine learning, data mining and analysis of large biological networks. These networks contain short length-k (on the order of… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mohan, R. (2016). Efficient Analytics for Large Implicit Correlation Networks. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1826

Chicago Manual of Style (16th Edition):

Mohan, Raghuveer. “Efficient Analytics for Large Implicit Correlation Networks.” 2016. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1826.

MLA Handbook (7th Edition):

Mohan, Raghuveer. “Efficient Analytics for Large Implicit Correlation Networks.” 2016. Web. 04 Aug 2020.

Vancouver:

Mohan R. Efficient Analytics for Large Implicit Correlation Networks. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1826.

Council of Science Editors:

Mohan R. Efficient Analytics for Large Implicit Correlation Networks. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1826

9. Avudaiappan, Neela Saranya. Data Mining in Large-Scale Clinical Visit Data for Rett Syndrome Patients.

Degree: MS, School of Computing, 2017, Clemson University

 Rett syndrome (RTT) is a rare neurological disorder that predominantly affects girls. Research on RTT has mostly centered around gene mutations and possibility of cure… (more)

Clemson University gave us access to 19 data files in the form of spreadsheets with medical… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Avudaiappan, N. S. (2017). Data Mining in Large-Scale Clinical Visit Data for Rett Syndrome Patients. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2728

Chicago Manual of Style (16th Edition):

Avudaiappan, Neela Saranya. “Data Mining in Large-Scale Clinical Visit Data for Rett Syndrome Patients.” 2017. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2728.

MLA Handbook (7th Edition):

Avudaiappan, Neela Saranya. “Data Mining in Large-Scale Clinical Visit Data for Rett Syndrome Patients.” 2017. Web. 04 Aug 2020.

Vancouver:

Avudaiappan NS. Data Mining in Large-Scale Clinical Visit Data for Rett Syndrome Patients. [Internet] [Masters thesis]. Clemson University; 2017. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2728.

Council of Science Editors:

Avudaiappan NS. Data Mining in Large-Scale Clinical Visit Data for Rett Syndrome Patients. [Masters Thesis]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_theses/2728

10. Jalasutram, Rommel. An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists.

Degree: PhD, Computer Science, 2014, Clemson University

  Consider the bipartite matching problem with two sets of participants: men (L) and women (R). Each person participating has a strict and complete preference… (more)

Subjects/Keywords: Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jalasutram, R. (2014). An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1615

Chicago Manual of Style (16th Edition):

Jalasutram, Rommel. “An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists.” 2014. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1615.

MLA Handbook (7th Edition):

Jalasutram, Rommel. “An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists.” 2014. Web. 04 Aug 2020.

Vancouver:

Jalasutram R. An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists. [Internet] [Doctoral dissertation]. Clemson University; 2014. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1615.

Council of Science Editors:

Jalasutram R. An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists. [Doctoral Dissertation]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_dissertations/1615

11. John, Emmanuel. Multilevel Methods for Sparsification and Linear Arrangement Problems on Networks.

Degree: MS, Computer Science, 2016, Clemson University

 The computation of network properties such as diameter, centrality indices, and paths on networks may become a major bottleneck in the analysis of network if… (more)

Subjects/Keywords: algorithms; graphs; linear ordering; multiscale; optimization; sparsification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

John, E. (2016). Multilevel Methods for Sparsification and Linear Arrangement Problems on Networks. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2398

Chicago Manual of Style (16th Edition):

John, Emmanuel. “Multilevel Methods for Sparsification and Linear Arrangement Problems on Networks.” 2016. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2398.

MLA Handbook (7th Edition):

John, Emmanuel. “Multilevel Methods for Sparsification and Linear Arrangement Problems on Networks.” 2016. Web. 04 Aug 2020.

Vancouver:

John E. Multilevel Methods for Sparsification and Linear Arrangement Problems on Networks. [Internet] [Masters thesis]. Clemson University; 2016. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2398.

Council of Science Editors:

John E. Multilevel Methods for Sparsification and Linear Arrangement Problems on Networks. [Masters Thesis]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_theses/2398

12. Srinivasamurthy, Ravisutha Sakrepatna. Understanding 1D Convolutional Neural Networks Using Multiclass Time-Varying Signals.

Degree: MS, Electrical and Computer Engineering (Holcomb Dept. of), 2018, Clemson University

  In recent times, we have seen a surge in usage of Convolutional Neural Networks to solve all kinds of problems - from handwriting recognition… (more)

Subjects/Keywords: CNN; CNN and DSP; Convolutional Neural Network; Deep Learning; Machine Learning; Signal Processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Srinivasamurthy, R. S. (2018). Understanding 1D Convolutional Neural Networks Using Multiclass Time-Varying Signals. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2911

Chicago Manual of Style (16th Edition):

Srinivasamurthy, Ravisutha Sakrepatna. “Understanding 1D Convolutional Neural Networks Using Multiclass Time-Varying Signals.” 2018. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2911.

MLA Handbook (7th Edition):

Srinivasamurthy, Ravisutha Sakrepatna. “Understanding 1D Convolutional Neural Networks Using Multiclass Time-Varying Signals.” 2018. Web. 04 Aug 2020.

Vancouver:

Srinivasamurthy RS. Understanding 1D Convolutional Neural Networks Using Multiclass Time-Varying Signals. [Internet] [Masters thesis]. Clemson University; 2018. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2911.

Council of Science Editors:

Srinivasamurthy RS. Understanding 1D Convolutional Neural Networks Using Multiclass Time-Varying Signals. [Masters Thesis]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_theses/2911

.