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» Applications and Research Problems of Subgroup Mining
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INFORMATICALT
2008
196views more  INFORMATICALT 2008»
14 years 9 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
ITNG
2007
IEEE
15 years 3 months ago
SEQUENCE PACKAGE ANALYSIS: A New Natural Language Understanding Method for Intelligent Mining of Recordings of Doctor-Patient In
Medical histories provide a rich resource for diagnoses and treatment. Similarly, consumers’ blog postings on health-related topics offer unique data for medical researchers, pr...
Amy Neustein
83
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DASFAA
2006
IEEE
136views Database» more  DASFAA 2006»
15 years 3 months ago
Mining Outliers in Spatial Networks
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
Wen Jin, Yuelong Jiang, Weining Qian, Anthony K. H...
ICONIP
2009
14 years 7 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana
CIKM
2006
Springer
15 years 1 months ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010