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DMIN
2008
176views Data Mining» more  DMIN 2008»
15 years 5 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
96
Voted
JMLR
2007
58views more  JMLR 2007»
15 years 4 months ago
Distances between Data Sets Based on Summary Statistics
The concepts of similarity and distance are crucial in data mining. We consider the problem of defining the distance between two data sets by comparing summary statistics compute...
Nikolaj Tatti
122
Voted
LREC
2008
129views Education» more  LREC 2008»
15 years 5 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki
143
Voted
LPNMR
2005
Springer
15 years 9 months ago
Data Integration and Answer Set Programming
Abstract. The rapid expansion of the Internet and World Wide Web led to growing interest in data and information integration, which should be capable to deal with inconsistent and ...
Thomas Eiter
133
Voted
BMCBI
2007
149views more  BMCBI 2007»
15 years 4 months ago
Novel and simple transformation algorithm for combining microarray data sets
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...