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DAGSTUHL
2004
14 years 11 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
JCP
2008
104views more  JCP 2008»
14 years 9 months ago
Process Planning Knowledge Discovery Based on CAPP Database for Mechanical Manufacturing Enterprise
Knowledge discovery in database have been attracting a significant amount of research, industry attention in recent years. Process planning knowledge (PPK) is one of the most impor...
Xiaoliang Jia, Zhenming Zhang, Xitian Tian
AUSAI
2005
Springer
15 years 3 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
HIPC
1999
Springer
15 years 2 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
IIS
2003
14 years 11 months ago
The Development of the Inductive Database System VINLEN: A Review of Current Research
Current research on the VINLEN inductive database system is briefly reviewed and illustrated by selected results. The goal of research on VINLEN is to develop a methodology for de...
Kenneth A. Kaufman, Ryszard S. Michalski