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POPL
1996
ACM
13 years 11 months ago
Discovering Auxiliary Information for Incremental Computation
This paper presents program analyses and transformations that discover a general class of auxiliary information for any incremental computation problem. Combining these techniques...
Yanhong A. Liu, Scott D. Stoller, Tim Teitelbaum
WWW
2007
ACM
14 years 8 months ago
Mirror site maintenance based on evolution associations of web directories
Mirroring Web sites is a well-known technique commonly used in the Web community. A mirror site should be updated frequently to ensure that it reflects the content of the original...
Ling Chen 0002, Sourav S. Bhowmick, Wolfgang Nejdl
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
13 years 11 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 7 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
ISI
2007
Springer
14 years 1 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...