Chad Williams
Titolo
Citata da
Citata da
Anno
Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness
B Mobasher, R Burke, R Bhaumik, C Williams
ACM Transactions on Internet Technology (TOIT) 7 (4), 23-es, 2007
4332007
Classification features for attack detection in collaborative recommender systems
R Burke, B Mobasher, C Williams, R Bhaumik
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
2212006
An automated GPS-based prompted recall survey with learning algorithms
J Auld, C Williams, A Mohammadian, P Nelson
Transportation Letters 1 (1), 59-79, 2009
1462009
Effective attack models for shilling item-based collaborative filtering systems
B Mobasher, R Burke, R Bhaumik, C Williams
Proceedings of the WebKDD Workshop, 13-23, 2005
1342005
Defending recommender systems: detection of profile injection attacks
CA Williams, B Mobasher, R Burke
Service Oriented Computing and Applications 1 (3), 157-170, 2007
1292007
Segment-based injection attacks against collaborative filtering recommender systems
R Burke, B Mobasher, R Bhaumik, C Williams
Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005
802005
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
D Ünay, Z Çataltepe, S Aksoy
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2010
792010
Analysis and detection of segment-focused attacks against collaborative recommendation
B Mobasher, R Burke, C Williams, R Bhaumik
International Workshop on Knowledge Discovery on the Web, 96-118, 2005
782005
Securing collaborative filtering against malicious attacks through anomaly detection
R Bhaumik, C Williams, B Mobasher, R Burke
Proceedings of the 4th Workshop on Intelligent Techniques for Web …, 2006
652006
Detecting profile injection attacks in collaborative recommender systems
R Burke, B Mobasher, C Williams, R Bhaumik
The 8th IEEE International Conference on E-Commerce Technology and The 3rd …, 2006
632006
Urban travel route and activity choice survey: internet-based prompted-recall activity travel survey using global positioning system data
MZ Frignani, J Auld, A Mohammadian, C Williams, P Nelson
Transportation research record 2183 (1), 19-28, 2010
492010
Detection of obfuscated attacks in collaborative recommender systems
C Williams, B Mobasher, R Burke, J Sandvig, R Bhaumik
Proceedings of the ECAI’06 Workshop on Recommender Systems 94, 2006
492006
Detecting profile injection attacks in collaborative filtering: a classification-based approach
CA Williams, B Mobasher, R Burke, R Bhaumik
International Workshop on Knowledge Discovery on the Web, 167-186, 2006
362006
Profile injection attack detection for securing collaborative recommender systems
C Williams, B Mobasher
DePaul University CTI Technical Report, 1-47, 2006
342006
The impact of attack profile classification on the robustness of collaborative recommendation
C Williams, R Bhaumik, R Burke, B Mobasher
In Proc. of WebKDD 2006, 2006
182006
Raspberry Pi as a platform for the Internet of things projects: Experiences and lessons
S Kurkovsky, C Williams
Proceedings of the 2017 ACM Conference on Innovation and Technology in …, 2017
112017
Teaching programming concepts to elementary students
C Williams, E Alafghani, A Daley, K Gregory, M Rydzewski
2015 IEEE Frontiers in Education Conference (FIE), 1-9, 2015
92015
Results of the utracs internet-based prompted recall gps activity-travel survey for the Chicago region
J Auld, MZ Frignani, C Williams, AK Mohammadian
Lisbon, Portugal, July, 11-15, 2010
92010
Mining sequential association rules for traveler context prediction
CA Williams, A Mohammadian, PC Nelson, ST Doherty
Proceedings of the 5th Annual International Conference on Mobile and …, 2008
92008
Mining sequential association rules for traveler context prediction
CA Williams, A Mohammadian, PC Nelson, ST Doherty
Proceedings of the 5th Annual International Conference on Mobile and …, 2008
92008
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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