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» An Index Structure for Data Mining and Clustering
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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 7 days ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
CACM
2000
147views more  CACM 2000»
14 years 11 months ago
Adaptive Web sites
Today's Web sites are intricate but not intelligent; while Web navigation is dynamic and idiosyncratic, all too often Web sites are fossils cast in HTML. In response, this pa...
Mike Perkowitz, Oren Etzioni
WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
15 years 5 months ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...
PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
15 years 6 months ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 9 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel