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» Discovery of Influence Sets in Frequently Updated Databases
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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 7 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
WWW
2010
ACM
14 years 2 months ago
Entity relation discovery from web tables and links
The World-Wide Web consists not only of a huge number of unstructured texts, but also a vast amount of valuable structured data. Web tables [2] are a typical type of structured in...
Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han,...
KDD
2007
ACM
151views Data Mining» more  KDD 2007»
14 years 7 months ago
Efficient mining of iterative patterns for software specification discovery
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggrava...
Chao Liu 0001, David Lo, Siau-Cheng Khoo
JIIS
2000
119views more  JIIS 2000»
13 years 7 months ago
Knowledge Discovery from Series of Interval Events
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
AMW
2009
13 years 8 months ago
Temporal Support in Sequential Pattern Mining
In sequential pattern discovery, the support of a sequence is computed as the number of data-sequences satisfying a pattern with respect to the total number of data-sequences in th...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...