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» Application of Fuzzy Rule Induction to Data Mining
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JCIT
2008
94views more  JCIT 2008»
13 years 8 months ago
Finding Semantic Errors in the Rule-base of Production Systems, and Reasoning with Insufficient Input Data Petri-net-based Appro
Two simple but practical production systems are modeled using Petri Nets. Petri-net models are very useful in finding semantic errors like generalization error and missing conditi...
Hong-Youl Lee
AUSAI
2005
Springer
14 years 2 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
ECAI
2004
Springer
14 years 2 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
KDD
2002
ACM
149views Data Mining» more  KDD 2002»
14 years 9 months ago
A system for real-time competitive market intelligence
A method is described for real-time market intelligence and competitive analysis. News stories are collected online for a designated group of companies. The goal is to detect crit...
Sholom M. Weiss, Naval K. Verma
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 9 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...