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» Frequent pattern mining for kernel trace data
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EDBT
2008
ACM
138views Database» more  EDBT 2008»
14 years 7 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...
VLDB
2007
ACM
204views Database» more  VLDB 2007»
14 years 1 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
BPM
2009
Springer
161views Business» more  BPM 2009»
14 years 2 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
ICDM
2002
IEEE
178views Data Mining» more  ICDM 2002»
14 years 11 days 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
DAWAK
2003
Springer
14 years 19 days ago
Comprehensive Log Compression with Frequent Patterns
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
Kimmo Hätönen, Jean-François Boul...