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» Combined Data Mining Approach for Intrusion Detection
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RECSYS
2009
ACM
15 years 4 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
15 years 3 months ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann
ICTAI
2007
IEEE
15 years 4 months ago
Prediction of Cerebral Aneurysm Rupture
Cerebral aneurysms are weak or thin spots on blood vessels in the brain that balloon out. While the majority of aneurysms do not burst, those that do would lead to serious complic...
Qiangfeng Peter Lau, Wynne Hsu, Mong-Li Lee, Ying ...
SEMCO
2008
IEEE
15 years 4 months ago
SEMSOC: SEMantic, SOcial and Content-Based Clustering in Multimedia Collaborative Tagging Systems
A huge amount of data and metadata emerges from Web 2.0 applications which have transformed the Web to a mass social interaction and collaboration medium. Collaborative Tagging Sy...
Eirini Giannakidou, Ioannis Kompatsiaris, Athena V...
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 4 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...