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ICDE
2009
IEEE
192views Database» more  ICDE 2009»
14 years 9 months ago
Deriving Private Information from Association Rule Mining Results
Data publishing can provide enormous benefits to the society. However, due to privacy concerns, data cannot be published in their original forms. Two types of data publishing can a...
Zutao Zhu, Guan Wang, Wenliang Du
IPPS
2008
IEEE
14 years 2 months ago
SWAMP: Smith-Waterman using associative massive parallelism
One of the most commonly used tools by computational biologists is some form of sequence alignment. Heuristic alignment algorithms developed for speed and their multiple results s...
Shannon Steinfadt, Johnnie W. Baker
SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
14 years 7 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
CIKM
2008
Springer
13 years 9 months ago
Mining term association patterns from search logs for effective query reformulation
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...
Xuanhui Wang, ChengXiang Zhai
CEC
2010
IEEE
13 years 8 months ago
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules
— This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and...
Jose María Luna, José Raúl Ro...