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PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 8 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
ICDM
2006
IEEE
81views Data Mining» more  ICDM 2006»
15 years 10 months ago
Full Perfect Extension Pruning for Frequent Graph Mining
Mining graph databases for frequent subgraphs has recently developed into an area of intensive research. Its main goals are to reduce the execution time of the existing basic algo...
Christian Borgelt, Thorsten Meinl
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
15 years 10 months ago
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints
In constraint-based mining, the monotone and antimonotone properties are exploited to reduce the search space. Even if a constraint has not such suitable properties, existing algo...
Arnaud Soulet, Bruno Crémilleux
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
15 years 10 months ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
15 years 10 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...