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» Improving the SLA Algorithm Using Association Rules
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97
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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 6 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
91
Voted
KDD
2002
ACM
128views Data Mining» more  KDD 2002»
16 years 26 days ago
Privacy preserving mining of association rules
We present a framework for mining association rules from transactions consisting of categorical items where the data has been randomized to preserve privacy of individual transact...
Alexandre V. Evfimievski, Ramakrishnan Srikant, Ra...
DATAMINE
2000
115views more  DATAMINE 2000»
15 years 8 days ago
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data mining on large data warehouses is becoming increasingly important. In support of this trend, we consider a spectrum of architectural alternatives for coupling mining with da...
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal
96
Voted
ICDM
2002
IEEE
108views Data Mining» more  ICDM 2002»
15 years 5 months ago
Mining Association Rules from Stars
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang
CIKM
2009
Springer
15 years 5 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia