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» Multi-valued Pattern Databases
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BNCOD
2003
127views Database» more  BNCOD 2003»
14 years 11 months 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
ESANN
2004
14 years 11 months 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
91
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SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
14 years 11 months 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
BMCBI
2010
155views more  BMCBI 2010»
14 years 7 months ago
BrEPS: a flexible and automatic protocol to compute enzyme-specific sequence profiles for functional annotation
Background: Models for the simulation of metabolic networks require the accurate prediction of enzyme function. Based on a genomic sequence, enzymatic functions of gene products a...
Constantin Bannert, A. Welfle, C. aus dem Spring, ...
67
Voted
JCS
2000
148views more  JCS 2000»
14 years 10 months ago
Using Sample Size to Limit Exposure to Data Mining
Data mining introduces new problems in database security. The basic problem of using non-sensitive data to infer sensitive data is made more difficult by the "prob abilistic&...
Chris Clifton