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ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
14 years 9 months ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 3 days ago
Towards NIC-based intrusion detection
We present and evaluate a NIC-based network intrusion detection system. Intrusion detection at the NIC makes the system potentially tamper-proof and is naturally extensible to wor...
Matthew Eric Otey, Srinivasan Parthasarathy, Amol ...
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 3 days ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
CASON
2009
IEEE
15 years 6 months ago
Social Network - An Autonomous System Designed for Radio Recommendation
This paper describes the functions of a system proposed for the music tube recommendation from social network data base. Such a system enables the automatic collection, evaluation...
Grzegorz Dziczkowski, Lamine Bougueroua, Katarzyna...
RAID
1999
Springer
15 years 4 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo