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KDD
1995
ACM
85views Data Mining» more  KDD 1995»
13 years 8 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
DATAMINE
2007
101views more  DATAMINE 2007»
13 years 4 months ago
Using metarules to organize and group discovered association rules
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
Abdelaziz Berrado, George C. Runger
KDD
1994
ACM
214views Data Mining» more  KDD 1994»
13 years 9 months ago
Efficient Algorithms for Discovering Association Rules
Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo
KDD
1998
ACM
90views Data Mining» more  KDD 1998»
13 years 9 months ago
Discovering Predictive Association Rules
Nimrod Megiddo, Ramakrishnan Srikant
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
14 years 5 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu