Data mining concepts and principles of work Background methods of ...
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Data mining concepts and principles of work Background methods of ...
Background methods of data mining; statics, machine learning, visualization and rule based algorithms. â Introduction
Data mining concepts and principles of work Background methods of data mining; statics, machine learning, visualization and rule based algorithms Introduction to the main used software programs; such as WEKA and intelligent miner Preparation of data for data mining; data kinds, selection of features, previewing, cleaning, conversion, normalization, distance measures and similarity metrics Introduction to supervised learning methods; artificial neural networks, decision trees, Bayesian networks and markov models Introduction to unsupervised learning methods; nearest neighbor, clustering, association mining, link analysis and principal component analysis Case studies
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