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Titlebook: Data Mining; Concepts, Models and Florin Gorunescu Book 2011 Springer-Verlag Berlin Heidelberg 2011 Computational Intelligence.Data Mining.

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Data Mining Techniques and Models,e previously taken into consideration. This chapter summarizes some well-known data mining techniques and models, such as: Bayesian classifier, association rule mining and rule-based classifier, artificial neural networks, .-nearest neighbors, rough sets, clustering algorithms, and genetic algorithm
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Classification Performance Evaluation,h classifier (’restaurant’) provides a specific technique associated with the corresponding costs (’menu’ and ’price’ for it). It is hence up to us, using the information and knowledge at hand, to find the optimal trade-off.
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Afrika und der Wettlauf zum Mondto use decision trees is given by both their flexibility and understandability. This chapter will present a short overview concerning the main steps in building and applying a decision tree in real-life problems.
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