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» Association Rule Mining in Peer-to-Peer Systems
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CEAS
2008
Springer
13 years 7 months ago
A Campaign-based Characterization of Spamming Strategies
This paper presents a methodology for the characterization of spamming strategies based on the identification of spam campaigns. To deeply understand how spammers abuse network re...
Pedro Calais, Douglas Pires, Dorgival Olavo Guedes...
DEBU
2008
186views more  DEBU 2008»
13 years 5 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
NLUCS
2008
13 years 7 months ago
Ontology-driven Vaccination Information Extraction
Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest ...
Liliana Ferreira, António Teixeira, Jo&atil...
WWW
2009
ACM
14 years 6 months ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
14 years 6 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler