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» Graph Mining based on a Data Partitioning Approach
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130
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IEAAIE
2005
Springer
15 years 6 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
98
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KDD
2007
ACM
220views Data Mining» more  KDD 2007»
16 years 25 days ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
47
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EXPERT
2000
54views more  EXPERT 2000»
15 years 7 days ago
Graph-Based Data Mining
Diane J. Cook, Lawrence B. Holder
ASC
2008
15 years 16 days ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
90
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AUSDM
2006
Springer
107views Data Mining» more  AUSDM 2006»
15 years 4 months ago
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
We describe the use of a kernel
Ahmad Al-Oqaily, Paul J. Kennedy