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» Mining Frequent Patterns without Candidate Generation
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ACL
2008
13 years 9 months ago
Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs
We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two pr...
Zornitsa Kozareva, Ellen Riloff, Eduard H. Hovy
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 8 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
CIKM
2007
Springer
14 years 2 months ago
Discovering interesting usage patterns in text collections: integrating text mining with visualization
This paper addresses the problem of making text mining results more comprehensible to humanities scholars, journalists, intelligence analysts, and other researchers, in order to s...
Anthony Don, Elena Zheleva, Machon Gregory, Sureyy...
ICDAR
2009
IEEE
14 years 2 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii