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You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Parameswaran, Aditya"). Showing records 1 – 15 of 15 total matches.

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University of Illinois – Urbana-Champaign

1. Venkataraman, Vipul. DataSpread: scaling spreadsheets using relational databases.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Spreadsheet software is the tool of choice for ad-hoc tabular data management, manipulation, querying, and visualization with adoption by billions of users. However, spreadsheets are… (more)

Subjects/Keywords: Spreadsheets; Interactivity; Data models

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

APA (6th Edition):

Venkataraman, V. (2017). DataSpread: scaling spreadsheets using relational databases. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97692

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Venkataraman, Vipul. “DataSpread: scaling spreadsheets using relational databases.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/97692.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Venkataraman, Vipul. “DataSpread: scaling spreadsheets using relational databases.” 2017. Web. 11 Aug 2020.

Vancouver:

Venkataraman V. DataSpread: scaling spreadsheets using relational databases. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/97692.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Venkataraman V. DataSpread: scaling spreadsheets using relational databases. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97692

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

2. Liu, Jialin. Machine learning workflow optimization via automatic discovery of resource reuse opportunities.

Degree: MS, Computer Science, 2019, University of Illinois – Urbana-Champaign

 Many state-of-the-art deep learning models rely on dynamic computation logic, making them difficult to optimize. In this thesis, we present a hashing based algorithm that… (more)

Subjects/Keywords: Machine Learning; Deep Learning; System

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APA (6th Edition):

Liu, J. (2019). Machine learning workflow optimization via automatic discovery of resource reuse opportunities. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Jialin. “Machine learning workflow optimization via automatic discovery of resource reuse opportunities.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/104894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Jialin. “Machine learning workflow optimization via automatic discovery of resource reuse opportunities.” 2019. Web. 11 Aug 2020.

Vancouver:

Liu J. Machine learning workflow optimization via automatic discovery of resource reuse opportunities. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/104894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu J. Machine learning workflow optimization via automatic discovery of resource reuse opportunities. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Rahman, Muntasir Raihan. Exploiting cost-performance tradeoffs for modern cloud systems.

Degree: PhD, Computer Science, 2016, University of Illinois – Urbana-Champaign

 The trade-off between cost and performance is a fundamental challenge for modern cloud systems. This thesis explores cost-performance tradeoffs for three types of systems that… (more)

Subjects/Keywords: Distributed Systems; Cloud Computing; NoSQL Storage Systems; Virtualization; Graph Processing

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APA (6th Edition):

Rahman, M. R. (2016). Exploiting cost-performance tradeoffs for modern cloud systems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92756

Chicago Manual of Style (16th Edition):

Rahman, Muntasir Raihan. “Exploiting cost-performance tradeoffs for modern cloud systems.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/92756.

MLA Handbook (7th Edition):

Rahman, Muntasir Raihan. “Exploiting cost-performance tradeoffs for modern cloud systems.” 2016. Web. 11 Aug 2020.

Vancouver:

Rahman MR. Exploiting cost-performance tradeoffs for modern cloud systems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/92756.

Council of Science Editors:

Rahman MR. Exploiting cost-performance tradeoffs for modern cloud systems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92756

4. Xue, Edward H. Towards a scripting language for visual data exploration.

Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign

 Visualization of data is becoming increasingly important for data analysis; numerous insights can be derived from visualizations at a glance. While the information provided through… (more)

Subjects/Keywords: Data Analytics; Visual Data Analytics; Automatic Visualization; Databases; Scripting Language; R; ggplot; Data Exploration; Zenvisage; Query Language; ZQL; ZSL; Data Science; grammar; CFG; BNF

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APA (6th Edition):

Xue, E. H. (2018). Towards a scripting language for visual data exploration. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101040

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xue, Edward H. “Towards a scripting language for visual data exploration.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/101040.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xue, Edward H. “Towards a scripting language for visual data exploration.” 2018. Web. 11 Aug 2020.

Vancouver:

Xue EH. Towards a scripting language for visual data exploration. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/101040.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xue EH. Towards a scripting language for visual data exploration. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101040

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Xin, Doris. Accelerating human-in-the-loop machine learning.

Degree: MS, Computer Science, 2019, University of Illinois – Urbana-Champaign

 Machine learning workflow development is a process of trial-and-error: developers iterate on workflows by testing out small modifications until the desired accuracy is achieved. Unfortunately,… (more)

Subjects/Keywords: data management; machine learning; human-in-the-loop analytics

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APA (6th Edition):

Xin, D. (2019). Accelerating human-in-the-loop machine learning. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/105721

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xin, Doris. “Accelerating human-in-the-loop machine learning.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/105721.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xin, Doris. “Accelerating human-in-the-loop machine learning.” 2019. Web. 11 Aug 2020.

Vancouver:

Xin D. Accelerating human-in-the-loop machine learning. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/105721.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xin D. Accelerating human-in-the-loop machine learning. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/105721

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Jain, Ayush. Towards open-ended crowd-powered data processing: a case study of clustering and counting.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 Due to the widespread use and importance of crowdsourcing in gathering training data at scale, the data management community has devoted its efforts in understanding… (more)

Subjects/Keywords: crowdsourcing

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APA (6th Edition):

Jain, A. (2016). Towards open-ended crowd-powered data processing: a case study of clustering and counting. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jain, Ayush. “Towards open-ended crowd-powered data processing: a case study of clustering and counting.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/92868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jain, Ayush. “Towards open-ended crowd-powered data processing: a case study of clustering and counting.” 2016. Web. 11 Aug 2020.

Vancouver:

Jain A. Towards open-ended crowd-powered data processing: a case study of clustering and counting. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/92868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jain A. Towards open-ended crowd-powered data processing: a case study of clustering and counting. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Siddiqui, Tarique Ashraf. Effortless data exploration with zenvisage: an expressive and interactive visual analytics system.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 Data visualization is by far the most commonly used mechanism to explore data, especially by novice data analysts and data scientists. And yet, current visual… (more)

Subjects/Keywords: Visual analytics; Databases; Query language; Visualization

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APA (6th Edition):

Siddiqui, T. A. (2016). Effortless data exploration with zenvisage: an expressive and interactive visual analytics system. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Siddiqui, Tarique Ashraf. “Effortless data exploration with zenvisage: an expressive and interactive visual analytics system.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/92826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Siddiqui, Tarique Ashraf. “Effortless data exploration with zenvisage: an expressive and interactive visual analytics system.” 2016. Web. 11 Aug 2020.

Vancouver:

Siddiqui TA. Effortless data exploration with zenvisage: an expressive and interactive visual analytics system. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/92826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Siddiqui TA. Effortless data exploration with zenvisage: an expressive and interactive visual analytics system. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Bendre, Mangesh. Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale.

Degree: PhD, Computer Science, 2018, University of Illinois – Urbana-Champaign

 We are witnessing the increasing availability of data across a spectrum of domains, necessitating the interactive ad-hoc management and analysis of this data, in order… (more)

Subjects/Keywords: DataSpread; spreadsheets; asynchronous; scalability; big-data management

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APA (6th Edition):

Bendre, M. (2018). Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102483

Chicago Manual of Style (16th Edition):

Bendre, Mangesh. “Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/102483.

MLA Handbook (7th Edition):

Bendre, Mangesh. “Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale.” 2018. Web. 11 Aug 2020.

Vancouver:

Bendre M. Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/102483.

Council of Science Editors:

Bendre M. Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102483

9. Gao, Yihan. Extracting and utilizing hidden structures in large datasets.

Degree: PhD, Computer Science, 2019, University of Illinois – Urbana-Champaign

 The hidden structure within datasets  – capturing the inherent structure within the data not explicitly captured or encoded in the data format  – can often… (more)

Subjects/Keywords: Structure Extraction; Automatic Data Processing

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

APA (6th Edition):

Gao, Y. (2019). Extracting and utilizing hidden structures in large datasets. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104764

Chicago Manual of Style (16th Edition):

Gao, Yihan. “Extracting and utilizing hidden structures in large datasets.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/104764.

MLA Handbook (7th Edition):

Gao, Yihan. “Extracting and utilizing hidden structures in large datasets.” 2019. Web. 11 Aug 2020.

Vancouver:

Gao Y. Extracting and utilizing hidden structures in large datasets. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/104764.

Council of Science Editors:

Gao Y. Extracting and utilizing hidden structures in large datasets. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104764

10. Huang, Silu. Effective data versioning for collaborative data analytics.

Degree: PhD, Computer Science, 2019, University of Illinois – Urbana-Champaign

 With the massive proliferation of datasets in a variety of sectors, data science teams in these sectors spend vast amounts of time collaboratively constructing, curating,… (more)

Subjects/Keywords: Data Versioning; Collaborative Data Analytics; Partitioning; Data Representation

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

APA (6th Edition):

Huang, S. (2019). Effective data versioning for collaborative data analytics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/105669

Chicago Manual of Style (16th Edition):

Huang, Silu. “Effective data versioning for collaborative data analytics.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/105669.

MLA Handbook (7th Edition):

Huang, Silu. “Effective data versioning for collaborative data analytics.” 2019. Web. 11 Aug 2020.

Vancouver:

Huang S. Effective data versioning for collaborative data analytics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/105669.

Council of Science Editors:

Huang S. Effective data versioning for collaborative data analytics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/105669


University of Illinois – Urbana-Champaign

11. Hui, Sili. OrpheusDB: an attempt towards data version control on relational database.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

This thesis will cover the deign, manual, and implementation detail of OrpheusDB. Advisors/Committee Members: Parameswaran, Aditya (advisor).

Subjects/Keywords: data version; data versioning; relational database; manual

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APA (6th Edition):

Hui, S. (2016). OrpheusDB: an attempt towards data version control on relational database. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hui, Sili. “OrpheusDB: an attempt towards data version control on relational database.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/95511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hui, Sili. “OrpheusDB: an attempt towards data version control on relational database.” 2016. Web. 11 Aug 2020.

Vancouver:

Hui S. OrpheusDB: an attempt towards data version control on relational database. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/95511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hui S. OrpheusDB: an attempt towards data version control on relational database. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Soltani, Kiumars. A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics.

Degree: PhD, Informatics, 2018, University of Illinois – Urbana-Champaign

 Numerous applications and scientific domains have contributed to tremendous growth of geospatial data during the past several decades. To resolve the volume and velocity of… (more)

Subjects/Keywords: Distributed Computing; CyberGIS; Data-intensive Applications; Spatial Optimization; Data Partitioning

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

APA (6th Edition):

Soltani, K. (2018). A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102443

Chicago Manual of Style (16th Edition):

Soltani, Kiumars. “A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/102443.

MLA Handbook (7th Edition):

Soltani, Kiumars. “A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics.” 2018. Web. 11 Aug 2020.

Vancouver:

Soltani K. A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/102443.

Council of Science Editors:

Soltani K. A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102443

13. Liu, Jialu. Constructing and modeling text-rich information networks: a phrase mining-based approach.

Degree: PhD, Computer Science, 2016, University of Illinois – Urbana-Champaign

 A lot of digital ink has been spilled on "big data" over the past few years, which is often characterized by an explosion of information.… (more)

Subjects/Keywords: Text-Rich Information Networks; Phrase Mining; Heterogeneous Information Network; Network Embedding; Keyphrase Extraction

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APA (6th Edition):

Liu, J. (2016). Constructing and modeling text-rich information networks: a phrase mining-based approach. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92777

Chicago Manual of Style (16th Edition):

Liu, Jialu. “Constructing and modeling text-rich information networks: a phrase mining-based approach.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/92777.

MLA Handbook (7th Edition):

Liu, Jialu. “Constructing and modeling text-rich information networks: a phrase mining-based approach.” 2016. Web. 11 Aug 2020.

Vancouver:

Liu J. Constructing and modeling text-rich information networks: a phrase mining-based approach. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/92777.

Council of Science Editors:

Liu J. Constructing and modeling text-rich information networks: a phrase mining-based approach. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92777

14. Zhang, Yinan. A formal framework for optimizing and evaluating interactive retrieval system.

Degree: PhD, Computer Science, 2017, University of Illinois – Urbana-Champaign

 The past decades have seen dramatic increase in the amount of information available to us, and the research area of information retrieval has served to… (more)

Subjects/Keywords: Information retrieval; Probability ranking principle; Interface card model

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APA (6th Edition):

Zhang, Y. (2017). A formal framework for optimizing and evaluating interactive retrieval system. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98262

Chicago Manual of Style (16th Edition):

Zhang, Yinan. “A formal framework for optimizing and evaluating interactive retrieval system.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/98262.

MLA Handbook (7th Edition):

Zhang, Yinan. “A formal framework for optimizing and evaluating interactive retrieval system.” 2017. Web. 11 Aug 2020.

Vancouver:

Zhang Y. A formal framework for optimizing and evaluating interactive retrieval system. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/98262.

Council of Science Editors:

Zhang Y. A formal framework for optimizing and evaluating interactive retrieval system. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98262

15. Amin, Md Tanvir Al. Exploitation of information propagation patterns in social sensing.

Degree: PhD, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Online social media presents new opportunity for sensing the physical world. The sensors are essentially human, who share information in the broadcast social media. Such… (more)

Subjects/Keywords: Social sensing; Summarization service; Fact-finder; Social dependency; Polarization; Information propagation patterns; Correlated error; Expectation maximization; Maximum likelihood; Matrix factorization; Hierarchical clustering; Tweet clustering

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APA (6th Edition):

Amin, M. T. A. (2017). Exploitation of information propagation patterns in social sensing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97270

Chicago Manual of Style (16th Edition):

Amin, Md Tanvir Al. “Exploitation of information propagation patterns in social sensing.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/97270.

MLA Handbook (7th Edition):

Amin, Md Tanvir Al. “Exploitation of information propagation patterns in social sensing.” 2017. Web. 11 Aug 2020.

Vancouver:

Amin MTA. Exploitation of information propagation patterns in social sensing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/97270.

Council of Science Editors:

Amin MTA. Exploitation of information propagation patterns in social sensing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97270

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