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» A Partition-Based Approach to Graph Mining
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ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 5 months ago
A Partition-Based Approach to Graph Mining
Existing graph mining algorithms typically assume that databases are relatively static and can fit into the main memory. Mining of subgraphs in a dynamic environment is currently ...
Junmei Wang, Wynne Hsu, Mong-Li Lee, Chang Sheng
FQAS
2006
Springer
99views Database» more  FQAS 2006»
13 years 8 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...
AAAI
2007
13 years 6 months ago
Graph Partitioning Based on Link Distributions
Existing graph partitioning approaches are mainly based on optimizing edge cuts and do not take the distribution of edge weights (link distribution) into consideration. In this pa...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
IPPS
2006
IEEE
13 years 10 months ago
Tree partition based parallel frequent pattern mining on shared memory systems
In this paper, we present a tree-partition algorithm for parallel mining of frequent patterns. Our work is based on FP-Growth algorithm, which is constituted of tree-building stag...
Dehao Chen, Chunrong Lai, Wei Hu, Wenguang Chen, Y...
ADC
2008
Springer
110views Database» more  ADC 2008»
13 years 11 months ago
Graph Mining based on a Data Partitioning Approach
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Son N. Nguyen, Maria E. Orlowska, Xue Li