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» Graph Mining based on a Data Partitioning Approach
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SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 9 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
100
Voted
FQAS
2006
Springer
99views Database» more  FQAS 2006»
15 years 4 months ago
Partition-Based Approach to Processing Batches of Frequent Itemset Queries
We consider the problem of optimizing processing of batches of frequent itemset queries. The problem is a particular case of multiple-query optimization, where the goal is to minim...
Przemyslaw Grudzinski, Marek Wojciechowski, Maciej...
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 7 months ago
Redistricting Using Heuristic-Based Polygonal Clustering
— Redistricting is the process of dividing a geographic area into districts or zones. This process has been considered in the past as a problem that is computationally too comple...
Deepti Joshi, Leen-Kiat Soh, Ashok Samal
113
Voted
ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
15 years 6 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder
103
Voted
VLDB
1995
ACM
181views Database» more  VLDB 1995»
15 years 3 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu