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» Mining interesting sets and rules in relational databases
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KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 9 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
BTW
1999
Springer
157views Database» more  BTW 1999»
14 years 1 months ago
Database Primitives for Spatial Data Mining
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel...
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 9 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
ICDE
2007
IEEE
106views Database» more  ICDE 2007»
14 years 3 months ago
Mining Trajectory Databases via a Suite of Distance Operators
With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...
Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, G...
ICDM
2006
IEEE
95views Data Mining» more  ICDM 2006»
14 years 3 months ago
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases
Recently, there has been considerable interest in computing strongly correlated pairs in large databases. Most previous studies require the specification of a minimum correlation...
Hui Xiong, Mark Brodie, Sheng Ma