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Analyzing and Securing Social Networks

1, 2016

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VAM: Value Propensity Score For User Acquisition Marketing Campaign

2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023, p.8-15

2023

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Exploring 360-Degree View of Customers for Lookalike Modeling

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023, p.3400-3404

2023

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Tweethood: Agglomerative Clustering on Fuzzy k-Closest Friends with Variable Depth for Location Mining

2010 IEEE Second International Conference on Social Computing, 2010, p.153-160

2010

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TWinner: understanding news queries with geo-content using Twitter

Proceedings of the 6th Workshop on Geographic Information Retrieval, 2010, p.1-8

2010

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Tweecalization: Efficient and intelligent location mining in twitter using semi-supervised learning

8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2012, p.514-523

2012

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Tweeque: Spatio-Temporal Analysis of Social Networks for Location Mining Using Graph Partitioning

2012 International Conference on Social Informatics, 2012, p.145-148

2012

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Design and implementation of SNODSOC: Novel class detection for social network analysis

2012 IEEE International Conference on Intelligence and Security Informatics, 2012, p.215-220

2012

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Data Mining Techniques

Analyzing and Securing Social Networks, 2016, p.69-84

2016

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Semantic Web-Based Social Network Representation and Analysis

Analyzing and Securing Social Networks, 2016, p.109-114

2016

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Cloud-Centric Assured Information Sharing for Social Networks

Analyzing and Securing Social Networks, 2016, p.465-488

2016

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Analyzing and Securing Social Networks

Analyzing and Securing Social Networks, 2016, p.103-108

2016

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Appendix: Data Management Systems: Developments and Trends

Analyzing and Securing Social Networks, 2016

2016

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Section I: Supporting Technologies

Analyzing and Securing Social Networks, 2016

2016

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Extending Classification of Social Networks through Indirect Friendships

Analyzing and Securing Social Networks, 2016, p.207-218

2016

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Classification of Social Networks Incorporating Link Types

Analyzing and Securing Social Networks, 2016, p.197-206

2016

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Social Networking in the Cloud

Analyzing and Securing Social Networks, 2016, p.359-380

2016

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Attacks on Social Media and Data Analytics Solutions

Analyzing and Securing Social Networks, 2016, p.507-532

2016

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Our Approach to Studying Privacy in Social Networks

Analyzing and Securing Social Networks, 2016, p.187-196

2016

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Secure Cloud Query Processing for Semantic Web-Based Social Media

Analyzing and Securing Social Networks, 2016, p.453-464

2016

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Secure Cloud Query Processing with Relational Data for Social Media

Analyzing and Securing Social Networks, 2016, p.443-452

2016

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Temporal Geosocial Mobile Semantic Web

Analyzing and Securing Social Networks, 2016, p.393-412

2016

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Graph Mining for Insider Threat Detection

Analyzing and Securing Social Networks, 2016, p.383-392

2016

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Section VII: Social Media Application Systems

Analyzing and Securing Social Networks, 2016

2016

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Data Security and Privacy

Analyzing and Securing Social Networks, 2016, p.57-68

2016

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Analyzing and Securing Social Networks

VAM: Value Propensity Score For User Acquisition Marketing Campaign

Exploring 360-Degree View of Customers for Lookalike Modeling

Tweethood: Agglomerative Clustering on Fuzzy k-Closest Friends with Variable Depth for Location Mining

TWinner: understanding news queries with geo-content using Twitter

Tweecalization: Efficient and intelligent location mining in twitter using semi-supervised learning

Tweeque: Spatio-Temporal Analysis of Social Networks for Location Mining Using Graph Partitioning

Design and implementation of SNODSOC: Novel class detection for social network analysis

Data Mining Techniques

Semantic Web-Based Social Network Representation and Analysis

Cloud-Centric Assured Information Sharing for Social Networks

Analyzing and Securing Social Networks

Appendix: Data Management Systems: Developments and Trends

Section I: Supporting Technologies

Extending Classification of Social Networks through Indirect Friendships

Classification of Social Networks Incorporating Link Types

Social Networking in the Cloud

Attacks on Social Media and Data Analytics Solutions

Our Approach to Studying Privacy in Social Networks

Secure Cloud Query Processing for Semantic Web-Based Social Media

Secure Cloud Query Processing with Relational Data for Social Media

Temporal Geosocial Mobile Semantic Web

Graph Mining for Insider Threat Detection

Section VII: Social Media Application Systems

Data Security and Privacy

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