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» Phenomenal Data Mining: From Data to Phenomena
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132
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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
14 years 12 months ago
Interesting Subset Discovery and Its Application on Service Processes
Various real-life datasets can be viewed as a set of records consisting of attributes explaining the records and set of measures evaluating the records. In this paper, we address t...
Maitreya Natu, Girish Keshav Palshikar
109
Voted
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
16 years 2 months ago
Audience selection for on-line brand advertising: privacy-friendly social network targeting
This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding ...
Foster J. Provost, Brian Dalessandro, Rod Hook, Xi...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 2 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 2 months ago
Fast discovery of connection subgraphs
We define a connection subgraph as a small subgraph of a large graph that best captures the relationship between two nodes. The primary motivation for this work is to provide a pa...
Christos Faloutsos, Kevin S. McCurley, Andrew Tomk...
105
Voted
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 2 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho