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» Graph Mining based on a Data Partitioning Approach
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121
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 10 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
92
Voted
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 2 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
96
Voted
ICDM
2007
IEEE
105views Data Mining» more  ICDM 2007»
15 years 7 months ago
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT
Most algorithms for mining interesting spatial colocations integrate the co-location / clique generation task with the interesting pattern mining task, and are usually based on th...
Florian Verhein, Ghazi Al-Naymat
PAKDD
1998
ACM
103views Data Mining» more  PAKDD 1998»
15 years 4 months ago
Discovering Case Knowledge Using Data Mining
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
120
Voted
KDD
2009
ACM
228views Data Mining» more  KDD 2009»
16 years 1 months ago
A generalized Co-HITS algorithm and its application to bipartite graphs
Recently many data types arising from data mining and Web search applications can be modeled as bipartite graphs. Examples include queries and URLs in query logs, and authors and ...
Hongbo Deng, Michael R. Lyu, Irwin King