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» Maintaining Data Privacy in Association Rule Mining
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PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
14 years 1 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
DGO
2007
192views Education» more  DGO 2007»
13 years 10 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger
DBPL
2001
Springer
118views Database» more  DBPL 2001»
14 years 1 months ago
On Monotone Data Mining Languages
Abstract. We present a simple Data Mining Logic (DML) that can express common data mining tasks, like “Find Boolean association rules” or “Find inclusion dependencies.” At ...
Toon Calders, Jef Wijsen
DATAMINE
2006
131views more  DATAMINE 2006»
13 years 8 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
Didier Dubois, Eyke Hüllermeier, Henri Prade
JDWM
2007
90views more  JDWM 2007»
13 years 8 months ago
Mining for Mutually Exclusive Items in Transaction Databases
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...
George Tzanis, Christos Berberidis