Workshop on Link Analysis at SIAM (New deadline, web page)

Workshop on Link Analysis for Adversarial Data Mining With the 2010 SIAM Data Mining Conference CALL FOR PAPERS URL: http://date.cecsresearch.org/workshop.htm May 1, 2010 Columbus, Ohio The Columbus, A Renaissance Hotel Important Dates Submission deadline: January 2 Notification of acceptance: February 1 Camera ready copy due to Antonio Badia: February 14 Workshop Co-chairs David Skillicorn School of Computing Queen's University Kingston Canada skill at cs.queensu.ca Antonio Badia Department of Computer Engineering and Computer Science University of Louisville Louisville, KY USA abadia at louisville.edu Program Committee: Program Committee is being formed; accepted so far Jafar Adibi, PricewaterhouseCoopers. Daniel Barbará, George Mason University. Lise Getoor, University of Maryland. Mark Goldberg, RPI. Mark Maybury, MITRE. Antonio Sanfilippo, PNNL. Simeon Simoff, University of Technology, Sydney. Bülent Yener, RPI. Daniel Zeng, University of Arizona. Submission Information Submit by email to abadia at louisville dot edu please. It would be helpful if you could name your attached file in a way that includes the name of one of the authors. Both full papers (6-9 pages) and short papers (3-4 pages) will be considered. See the href="http://www.siam.org/meetings/sdm10/submissions.php Submissions page of the main conference web page for details of format (do not submit to the main conference site). Besides academia, we encourage submissions from research centers, industry, and government organizations. Scope This workshop is the sixth workshop on this topic at the SIAM International Data Mining Conference. The workshop name has changed from "Workshop on Link Analysis, Counterterrorism and Security" to emphasize a widening of the topic. The workshop attracts a mixture of academics; security, law-enforcement and counterterrorism practitioners, and data analysts from several industries. An Adversarial setting is one where the subject of analysis (the "adversary") is actively engaged in trying to remove, disguise or otherwise alter traces of activity. Thus, the data given is not a passive collection of facts, but it may have been actively manipulated. Furthermore, an intelligent adversary may change behavior over time, in an attempt to further confuse the analyst. This poses new challenges to all data mining activities, but in particular to link analysis, since in this area the correctness and completeness of data play an important role. Traditional link analysis algorithms are not developed to cope with the challenges of an adversarial setting. Note that such setting is frequent in real-life applications of data mining; they include (cyber)security, law enforcement, counterterrorism, fraud detection, phising, spam filtering, junk email detection, and threat detection. Thus, advances in adversarial link analysis is a relatively new area that has wide applicability. The workshop provides a venue in which to present early work in relevant areas. An online proceedings will be created, and hardcopy proceedings will be available to conference attendees (and through SIAM afterwards). However, authors may retain copyright. Industrial organizations with products that are suitable for analyzing large datasets in an Adversarial setting may also wish to participate, either directly in the workshop or in an industrial track in the main conference. Topics of Interest: Link analysis Graph mining Relational data mining Social Network Analysis Dynamic network analysis Web mining applied to (cyber)security, law enforcement, counterterrorism, fraud detection, phising, spam filtering, junk email detection, threat detection Text mining applied to security, law enforcement, counterterrorism, counterterrorism, fraud detection, phishing, spam filtering, junk email detection, threat detection Visualization of link structures Performance evaluation measures for Adversarial settings Innovative applications related to link analysis Privacy issues Papers on any of these issues, and related topics, are welcome provided that their primary focus is one of the topics of interest. Workshop Format: This will be a full-day workshop. It will consist of an invited talk, a series of presentation from accepted papers, and a panel discussion. The panel will be organized around the workshop topics and guided by the content of the presented papers. The workshop is part of the SIAM International Data Mining Conference, which takes place from April 29-May 1, 2010 in Columbus, Ohio. At least one author from each accepted paper is expected to register and attend the workshop to present their work.