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ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
13 years 5 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki
ICONIP
2009
13 years 5 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
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 7 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
GIS
2007
ACM
14 years 8 months ago
Using fuzzy clustering methods for delineating urban housing submarkets
This study investigates whether a fuzzy clustering method is of any practical value in delineating urban housing submarkets relative to clustering methods based on classic (or cri...
Sungsoon Hwang, Jean-Claude Thill
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski