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KDD
1997
ACM
113views Data Mining» more  KDD 1997»
13 years 11 months ago
A Guided Tour through the Data Mining Jungle
Animportantsuccessfactor for the field of KDDlies in the developmentand integration of methodsfor supporting the construction and execution of KDDprocesses. Crucial aspects in thi...
Robert Engels, Guido Lindner, Rudi Studer
GI
1998
Springer
13 years 11 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
13 years 9 months ago
Performance of Recommendation Systems in Dynamic Streaming Environments
In this paper, we study the behavior of collaborative filtering based recommendations under evolving user profile scenarios. We propose a systematic validation methodology that ...
Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio...
ICDE
2000
IEEE
112views Database» more  ICDE 2000»
14 years 9 months ago
DEMON: Mining and Monitoring Evolving Data
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
14 years 8 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu