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171
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
148
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
197
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KDD
2002
ACM
16 years 7 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
150
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CHI
2004
ACM
16 years 7 months ago
2004
ACM
Abstract. In this paper we describe a virtual laboratory that is designed to accelerate scientific exploration and discovery by minimizing the time between the generation of a scie...
195
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EDBT
2008
ACM
16 years 6 months ago
2008
ACM
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...