Titlebook: Data Mining: Foundations and Intelligent Paradigms; Volume 3: Medical, H Dawn E. Holmes,Lakhmi C Jain Book 20121st edition Springer-Verlag

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Mining Epistatic Interactions from High-Dimensional Data Sets,en little or no such effect can be observed statistically for one or even both of the genes individually. This is in contrast to Mendelian diseases like cystic fibrosis, which are associated with variation at a single genetic locus. This gene-gene interaction is called epistasis. To uncover this dar

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Knowledge Discovery in Adversarial Settings,unterterrorism but, increasingly, also more mainstream domains such as customer relationship management. The conventional strategy, maximizing the fit of a model to the available data, does not work in adversarial settings because the data cannot all be trusted, and because it makes the results too

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Analysis and Mining of Online Communities of Internet Forum Users,nity of Internet forum users. We discuss issues involved in Internet forum data acquisition and processing, and we outline some of the challenges that need to be addressed. Then, we present a framework for analysis and mining of Internet forum data for social role discovery. Our framework consists o

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Rule Extraction from Neural Networks and Support Vector Machines for Credit Scoring, SVM are two very popular techniques for pattern classification. In the business intelligence application domain of credit scoring, they have been shown to be effective tools for distinguishing between good credit risks and bad credit risks. The accuracy obtained by these two techniques is often hig

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Using Self-Organizing Map for Data Mining: A Synthesis with Accounting Applications, pertinent literature as well as demonstrate, via a case study, how SOM can be applied in clustering accounting databases. The synthesis explicates SOM’s theoretical foundations, presents metrics for evaluating its performance, explains the main extensions of SOM, and discusses its main financial ap

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Applying Data Mining Techniques to Assess Steel Plant Operation Conditions,se. This work discusses data mining approach to this problem. We flattened the time series data of the whole operation into the form which is suitable for conventional data mining methods. This paper describes the methodology for transformation of the time series data and discusses the possible appl

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