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» A New Class Based Associative Classification Algorithm
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ISNN
2004
Springer
14 years 4 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
ICDE
2012
IEEE
212views Database» more  ICDE 2012»
12 years 1 months ago
Attribute-Based Subsequence Matching and Mining
—Sequence analysis is very important in our daily life. Typically, each sequence is associated with an ordered list of elements. For example, in a movie rental application, a cus...
Yu Peng, Raymond Chi-Wing Wong, Liangliang Ye, Phi...
DCC
2008
IEEE
14 years 10 months ago
Server Placement in Multiple-Description-Based Media Streaming
Multiple description coding (MDC) has emerged as a powerful technique for reliable real-time communications over lossy packet networks. In its basic form, it involves encoding a me...
Satyajeet Ahuja, Marwan Krunz
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 11 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
NIPS
2004
14 years 5 days ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer