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» Application of Fuzzy Rule Induction to Data Mining
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JCIT
2008
94views more  JCIT 2008»
14 years 9 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
15 years 3 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
15 years 3 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»
15 years 10 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»
14 years 10 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 ...