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» Compressing Pattern Databases
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BNCOD
2003
127views Database» more  BNCOD 2003»
15 years 1 days ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
RECOMB
2002
Springer
15 years 11 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
15 years 5 months ago
An novel Methodology for Reducing SoC Test Data Volume on FPGA-based Testers
Low-Cost test methodologies for Systems-on-Chip are increasingly popular. They dictate which features have to be included on-chip and which test procedures have to be adopted in o...
Paolo Bernardi, Matteo Sonza Reorda
ESANN
2004
15 years 2 days ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
15 years 1 days ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis