Chad A. Williams
Assistant Professor
Computer Science
Department Mathematics & Computer Science
Bemidji State University
Ph: 630-881-4565
chadwilliams13 at gmail.com
Publications by type
Also see my publications
by date,
by topic,
and by co-author.
Copyright notice.
Contents:
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New! A Data Mining Approach To Rapidly Learning Traveler Activity Patterns For Mobile Applications (Ph.D. Dissertation, 2010)
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Profile Injection Attack Detection for Securing Collaborative Recommender Systems (Masters Thesis, 2006)
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Genetically Evolving Optimal Neural Networks (Neural Networks and Expert Systems, 2007)
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New! Urban Travel Route and Activity Choice Survey (UTRACS): An Internet-Based Prompted Recall Activity Travel Survey using GPS Data (to appear in Transportation Research Record, 2010)
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New! Attribute Constrained Rules For Partially Labeled Sequence Completion (Advances in Data Mining - Applications and Theoretical Aspects, 2009)
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An Automated GPS-Based Prompted Recall Survey With Learning Algorithms (Transportation Letters: The International Journal of Transportation Research, 2009)
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Defending recommender systems: detection of profile injection attacks (Service Oriented Computing and Applications, 2007)
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Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness (ACM Transactions on Internet Technology, 2007)
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Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation (Advances in Web Mining and Web Usage Analysis, 2006)
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New! Urban Travel Route and Activity Choice Survey (UTRACS): An Internet-Based Prompted Recall Activity Travel Survey using GPS Data (Proceedings of 89th Annual Meeting of the Transportation Research Board, 2010)
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Mining Sequential Association Rules for Traveler Context Prediction (Proceedings of the First International Workshop on Computational Transportation Science, 2008)
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Classification features for attack detection in collaborative recommender systems (KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 2006)
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The Impact of Attack Profile Classification on the Robustness of Collaborative Recommendation (Proceedings of the 2006 WebKDD Workshop, 2006)
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Detection of Obfuscated Attacks in Collaborative Recommender Systems (Proceedings of the ECAI'06 Workshop on Recommender Systems, 2006)
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Securing Collaborative Filtering Against Malicious Attacks Through Anomaly Detection (Proceedings of the 4th Workshop on Intelligent Techniques for Web Personalization (ITWP'06), 2006)
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Detecting Profile Injection Attacks in Collaborative Recommender Systems (Proceedings of the 8th IEEE Conference on E-Commerce Technology (CEC'06), 2006)
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Evaluation of Profile Injection Attacks In Collaborative Recommender Systems (DePaul CTI Research Symposium / Midwest Software Engineering Conference (CTIRS/MSEC 2006), 2006)
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Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems (Proceedings of the 2005 International Conference on Data Mining (ICDM'05), 2005)
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Collaborative Recommendation Vulnerability to Focused Bias Injection Attacks (Proceedings of the Workshop on Privacy and Security Aspects of Data Mining, 2005)
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Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems (Proceedings of the 2005 WebKDD Workshop, 2005)
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Copyright notice:
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technical work. Copyright and all rights therein are retained by authors or
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explicit permission of the copyright holder.
Chad Williams part of the
UIC Computational Transportation Science group