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PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 11 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
BMCBI
2010
113views more  BMCBI 2010»
15 years 1 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 2 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
113
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DMIN
2008
152views Data Mining» more  DMIN 2008»
15 years 3 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
CORR
2007
Springer
125views Education» more  CORR 2007»
15 years 1 months ago
A Study of Grid Applications: Scheduling Perspective
: As the Grid evolves from a high performance cluster middleware to a multipurpose utility computing framework, a good understanding of Grid applications, their statistics and util...
Aleksandar Lazarevic, Lionel Sacks