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» Mining for Useful Association Rules Using the ATMS
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DATAMINE
2007
101views more  DATAMINE 2007»
13 years 7 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
ICDE
2004
IEEE
87views Database» more  ICDE 2004»
14 years 9 months ago
On Local Pruning of Association Rules Using Directed Hypergraphs
In this paper we propose an adaptive local pruning method for association rules. Our method exploits the exact mapping between a certain class of association rules, namely those w...
Sanjay Chawla, Joseph G. Davis, Gaurav Pandey
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 8 months ago
An inductive database prototype based on virtual mining views
We present a prototype of an inductive database. Our system enables the user to query not only the data stored in the database but also generalizations (e.g. rules or trees) over ...
Élisa Fromont, Adriana Prado, Bart Goethals...
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
13 years 11 months ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 8 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda