Titlebook: Knowledge Discovery and Measures of Interest; Robert J. Hilderman,Howard J. Hamilton Book 2001 Springer Science+Business Media New York 20

箴言

Background and Related Work,be represented in many different forms, including classification rules, association rules, clusters, sequential patterns, time series, contingency tables, summaries obtained using some hierarchical or taxonomic structure, and others. Typically, the number of patterns generated is very large, but onl

Supplement

A Data Mining Technique,uctures and algorithms utilized by our data mining technique. These data structures and algorithms have been incorporated into DGG-Discover and DGG-Interest, extensions to DB-Discover, a research software tool for KDD developed at the University of Regina [22, 23, 24, 25, 50, 65, 66, 70, 72].

调情

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Experimental Analyses,mance of . in generating summaries from databases. We also evaluate the sixteen diversity measures for ranking the interestingness of the summaries generated, implemented in the research software tool .. We present the results of our evaluation against a variety of metrics and describe our general e

影响

Robert J. Hilderman,Howard J. Hamiltoner bundle . where . is compact and orientable. It is commonly agreed that connections with curvature and torsion can describe defect densities in micro-structured materials. The aim of this work is to introduce a method to derive these objects from the kinematics in an intrinsic way. The material bu

为敌

Robert J. Hilderman,Howard J. Hamiltoner bundle . where . is compact and orientable. It is commonly agreed that connections with curvature and torsion can describe defect densities in micro-structured materials. The aim of this work is to introduce a method to derive these objects from the kinematics in an intrinsic way. The material bu

backdrop

Robert J. Hilderman,Howard J. Hamiltoner bundle . where . is compact and orientable. It is commonly agreed that connections with curvature and torsion can describe defect densities in micro-structured materials. The aim of this work is to introduce a method to derive these objects from the kinematics in an intrinsic way. The material bu

盖他为秘密

goodwill

Robert J. Hilderman,Howard J. Hamilton It defines a Riemannian metric uniquely, which is the Fisher information metric. Moreover, a family of dually coupled affine connections are introduced. Mathematically, this is a study of a triple (.), where . is a manifold, . is a Riemannian metric, and . is a third-order symmetric tensor. Informa

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