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» Phenomenal Data Mining: From Data to Phenomena
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SDM
2009
SIAM
124views Data Mining» more  SDM 2009»
15 years 11 months ago
Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
Ali Dasdan, Paolo D'Alberto
ENTER
2008
Springer
15 years 3 months ago
Evaluating Recommender Systems in Tourism - A Case Study from Austria
Recommender systems (RS) are employed to personalize user interaction with (e.g. tourism) web-sites, supporting both navigation through large service assortments and the configura...
Markus Zanker, Matthias Fuchs, Wolfram Höpken...
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
14 years 12 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
MLDM
2007
Springer
15 years 8 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
CIKM
2010
Springer
15 years 15 days ago
Mining interesting link formation rules in social networks
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules...
Cane Wing-ki Leung, Ee-Peng Lim, David Lo, Jianshu...