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» Mining High Utility Itemsets in Big Data
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ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
14 years 8 months ago
Efficient Anonymizations with Enhanced Utility
The k-anonymization method is a commonly used privacy-preserving technique. Previous studies used various measures of utility that aim at enhancing the correlation between the orig...
Jacob Goldberger, Tamir Tassa
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
15 years 4 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
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 2 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
DEXAW
2005
IEEE
138views Database» more  DEXAW 2005»
15 years 4 months ago
Towards a Better Integration of Data Mining and Decision Support via Computational Intelligence
Despite a high level of activity and a large number of researchers involved, current research in data mining is plagued with several serious problems that should be regarded as to...
Sylvain Delisle
SIGSOFT
2005
ACM
15 years 3 months ago
Detecting higher-level similarity patterns in programs
Cloning in software systems is known to create problems during software maintenance. Several techniques have been proposed to detect the same or similar code fragments in software...
Hamid Abdul Basit, Stan Jarzabek