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» Introduction to Data Mining and Knowledge Discovery
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DKE
2006
84views more  DKE 2006»
14 years 10 months ago
Mining configurable enterprise information systems
Process mining is the extraction of a process model from system logs. These logs have to meet minimum requirements, i.e. each event should refer to a case and a task. Many system ...
Monique H. Jansen-Vullers, Wil M. P. van der Aalst...
IDA
2008
Springer
14 years 10 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
CIMCA
2005
IEEE
15 years 3 months ago
Mining for Useful Association Rules Using the ATMS
Association rule mining has made many achievements in the area of knowledge discovery in databases. Recent years, the quality of the extracted association rules has drawn more and...
Yue Xu, Yuefeng Li
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
15 years 4 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
SAC
2006
ACM
15 years 3 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya