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» Hiding informative association rule sets
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KDD
1999
ACM
184views Data Mining» more  KDD 1999»
15 years 1 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
CEC
2008
IEEE
15 years 4 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
WEBNET
2000
14 years 11 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
AIRS
2010
Springer
14 years 7 months ago
Advanced Training Set Construction for Retrieval in Historic Documents
Retrieval in historic documents with non-standard spelling requires a mapping from search terms onto the historic terms in the document. For describing this mapping, we have develo...
Andrea Ernst-Gerlach, Norbert Fuhr
81
Voted
DSS
2007
226views more  DSS 2007»
14 years 9 months ago
Dare to share: Protecting sensitive knowledge with data sanitization
chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
Ali Amiri