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» Mining evolving data streams for frequent patterns
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SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
14 years 11 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
15 years 3 months ago
Evaluation of Common Counting Method for Concurrent Data Mining Queries
Data mining queries are often submitted concurrently to the data mining system. The data mining system should take advantage of overlapping of the mined datasets. In this paper we ...
Marek Wojciechowski, Maciej Zakrzewicz
VLDB
2007
ACM
204views Database» more  VLDB 2007»
15 years 3 months ago
Optimization of Frequent Itemset Mining on Multiple-Core Processor
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
Eric Li, Li Liu
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
15 years 3 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
ICDM
2002
IEEE
178views Data Mining» more  ICDM 2002»
15 years 2 months ago
gSpan: Graph-Based Substructure Pattern Mining
We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which...
Xifeng Yan, Jiawei Han