Chad A. Williams

Assistant Professor
Computer Science

Department Mathematics & Computer Science
Bemidji State University

Ph:  630-881-4565
chadwilliams13    at   gmail.com

About me
Teaching
CV

Publications by type

Also see my publications by date, by topic, and by co-author.
Copyright notice.

Contents:


Theses

New! A Data Mining Approach To Rapidly Learning Traveler Activity Patterns For Mobile Applications (Ph.D. Dissertation, 2010)
Profile Injection Attack Detection for Securing Collaborative Recommender Systems (Masters Thesis, 2006)

Book Chapters

Genetically Evolving Optimal Neural Networks (Neural Networks and Expert Systems, 2007)

Journal Papers

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)
New! Attribute Constrained Rules For Partially Labeled Sequence Completion (Advances in Data Mining - Applications and Theoretical Aspects, 2009)
An Automated GPS-Based Prompted Recall Survey With Learning Algorithms (Transportation Letters: The International Journal of Transportation Research, 2009)
Defending recommender systems: detection of profile injection attacks (Service Oriented Computing and Applications, 2007)
Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness (ACM Transactions on Internet Technology, 2007)
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation (Advances in Web Mining and Web Usage Analysis, 2006)

Conference Papers

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)
Mining Sequential Association Rules for Traveler Context Prediction (Proceedings of the First International Workshop on Computational Transportation Science, 2008)
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)
The Impact of Attack Profile Classification on the Robustness of Collaborative Recommendation (Proceedings of the 2006 WebKDD Workshop, 2006)
Detection of Obfuscated Attacks in Collaborative Recommender Systems (Proceedings of the ECAI'06 Workshop on Recommender Systems, 2006)
Securing Collaborative Filtering Against Malicious Attacks Through Anomaly Detection (Proceedings of the 4th Workshop on Intelligent Techniques for Web Personalization (ITWP'06), 2006)
Detecting Profile Injection Attacks in Collaborative Recommender Systems (Proceedings of the 8th IEEE Conference on E-Commerce Technology (CEC'06), 2006)
Evaluation of Profile Injection Attacks In Collaborative Recommender Systems (DePaul CTI Research Symposium / Midwest Software Engineering Conference (CTIRS/MSEC 2006), 2006)
Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems (Proceedings of the 2005 International Conference on Data Mining (ICDM'05), 2005)
Collaborative Recommendation Vulnerability to Focused Bias Injection Attacks (Proceedings of the Workshop on Privacy and Security Aspects of Data Mining, 2005)
Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems (Proceedings of the 2005 WebKDD Workshop, 2005)

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Chad Williams part of the UIC Computational Transportation Science group