The Experts below are selected from a list of 231 Experts worldwide ranked by ideXlab platform
Chuck Violette - One of the best experts on this subject based on the ideXlab platform.
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DG.O - COPLINK center: social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics: a crime data mining approach to developing border safe research
Proceedings of the 2006 national conference on Digital government research - dg.o '06, 2006Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Shailesh Joshi, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Yuan Wang, Chuck VioletteAbstract:In this paper, we describe the highlights of the COPLINK Center for law enforcement and homeland Security project. Two new components of the project are described, namely, identity resolution and mutual information.
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coplink center social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics a crime data mining approach to developing border safe research
International Conference on Digital Government Research, 2005Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Byron Marshall, Shauna Eggers, Hemanth Gowda, Chuck VioletteAbstract:The goal of the COPLINK project is to develop information and knowledge management systems technologies and methodology appropriate for capturing, accessing, analyzing, visualizing, and sharing law enforcement related information. Continuing our pursuit of this goal, we have developed a framework for creating cross-jurisdictional Criminal Activity Networks for social network analysis, and have constructed a taxonomy of criminal identity resolution problems for detecting intentional identity deception and unintentional identity errors.
Hsinchun Chen - One of the best experts on this subject based on the ideXlab platform.
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DG.O - COPLINK center: social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics: a crime data mining approach to developing border safe research
Proceedings of the 2006 national conference on Digital government research - dg.o '06, 2006Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Shailesh Joshi, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Yuan Wang, Chuck VioletteAbstract:In this paper, we describe the highlights of the COPLINK Center for law enforcement and homeland Security project. Two new components of the project are described, namely, identity resolution and mutual information.
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coplink center social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics a crime data mining approach to developing border safe research
International Conference on Digital Government Research, 2005Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Byron Marshall, Shauna Eggers, Hemanth Gowda, Chuck VioletteAbstract:The goal of the COPLINK project is to develop information and knowledge management systems technologies and methodology appropriate for capturing, accessing, analyzing, visualizing, and sharing law enforcement related information. Continuing our pursuit of this goal, we have developed a framework for creating cross-jurisdictional Criminal Activity Networks for social network analysis, and have constructed a taxonomy of criminal identity resolution problems for detecting intentional identity deception and unintentional identity errors.
Lu Chunju Tseng - One of the best experts on this subject based on the ideXlab platform.
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DG.O - COPLINK center: social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics: a crime data mining approach to developing border safe research
Proceedings of the 2006 national conference on Digital government research - dg.o '06, 2006Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Shailesh Joshi, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Yuan Wang, Chuck VioletteAbstract:In this paper, we describe the highlights of the COPLINK Center for law enforcement and homeland Security project. Two new components of the project are described, namely, identity resolution and mutual information.
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coplink center social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics a crime data mining approach to developing border safe research
International Conference on Digital Government Research, 2005Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Byron Marshall, Shauna Eggers, Hemanth Gowda, Chuck VioletteAbstract:The goal of the COPLINK project is to develop information and knowledge management systems technologies and methodology appropriate for capturing, accessing, analyzing, visualizing, and sharing law enforcement related information. Continuing our pursuit of this goal, we have developed a framework for creating cross-jurisdictional Criminal Activity Networks for social network analysis, and have constructed a taxonomy of criminal identity resolution problems for detecting intentional identity deception and unintentional identity errors.
Tim Petersen - One of the best experts on this subject based on the ideXlab platform.
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DG.O - COPLINK center: social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics: a crime data mining approach to developing border safe research
Proceedings of the 2006 national conference on Digital government research - dg.o '06, 2006Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Shailesh Joshi, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Yuan Wang, Chuck VioletteAbstract:In this paper, we describe the highlights of the COPLINK Center for law enforcement and homeland Security project. Two new components of the project are described, namely, identity resolution and mutual information.
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coplink center social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics a crime data mining approach to developing border safe research
International Conference on Digital Government Research, 2005Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Byron Marshall, Shauna Eggers, Hemanth Gowda, Chuck VioletteAbstract:The goal of the COPLINK project is to develop information and knowledge management systems technologies and methodology appropriate for capturing, accessing, analyzing, visualizing, and sharing law enforcement related information. Continuing our pursuit of this goal, we have developed a framework for creating cross-jurisdictional Criminal Activity Networks for social network analysis, and have constructed a taxonomy of criminal identity resolution problems for detecting intentional identity deception and unintentional identity errors.
Homa Atabakhsh - One of the best experts on this subject based on the ideXlab platform.
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DG.O - COPLINK center: social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics: a crime data mining approach to developing border safe research
Proceedings of the 2006 national conference on Digital government research - dg.o '06, 2006Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Shailesh Joshi, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Yuan Wang, Chuck VioletteAbstract:In this paper, we describe the highlights of the COPLINK Center for law enforcement and homeland Security project. Two new components of the project are described, namely, identity resolution and mutual information.
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coplink center social network analysis and identity deception detection for law enforcement and homeland Security Intelligence and Security informatics a crime data mining approach to developing border safe research
International Conference on Digital Government Research, 2005Co-Authors: Hsinchun Chen, Alan G. Wang, Siddharth Kaza, Homa Atabakhsh, Tim Petersen, Lu Chunju Tseng, Byron Marshall, Shauna Eggers, Hemanth Gowda, Chuck VioletteAbstract:The goal of the COPLINK project is to develop information and knowledge management systems technologies and methodology appropriate for capturing, accessing, analyzing, visualizing, and sharing law enforcement related information. Continuing our pursuit of this goal, we have developed a framework for creating cross-jurisdictional Criminal Activity Networks for social network analysis, and have constructed a taxonomy of criminal identity resolution problems for detecting intentional identity deception and unintentional identity errors.