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» Mining unexpected multidimensional rules
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DAGSTUHL
2004
13 years 8 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
DAWAK
2007
Springer
14 years 1 months ago
Automating the Schema Matching Process for Heterogeneous Data Warehouses
Abstract. A federated data warehouse is a logical integration of data warehouses applicable when physical integration is impossible due to privacy policy or legal restrictions. In ...
Marko Banek, Boris Vrdoljak, A. Min Tjoa, Zoran Sk...
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
14 years 7 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 1 months ago
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
Gero Szepannek, Claus Weihs