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The book teaches data mining concepts and its content is not associated with any programming language. Hence one can adopt the book regardless whether they want to learn/teach data mining concepts etc. This also means that you will not see any case studies or exciting applications of data mining concepts in this book.The book covers important topics such as data pre-processing, classification, clustering, imbalanced data, anomaly detection (i.e. noisy data, observations that do not fit the normal distribution, outliers etc.) using statistical, clustering and other techniques.

Produktbeschreibung
The book teaches data mining concepts and its content is not associated with any programming language. Hence one can adopt the book regardless whether they want to learn/teach data mining concepts etc. This also means that you will not see any case studies or exciting applications of data mining concepts in this book.The book covers important topics such as data pre-processing, classification, clustering, imbalanced data, anomaly detection (i.e. noisy data, observations that do not fit the normal distribution, outliers etc.) using statistical, clustering and other techniques.
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Autorenporträt
T.Rajesh si è laureato con un B.Tech nel 2006 presso l'Università JNT, India e ha completato il M.Tech presso ilCBIT, India nel 2009. Attualmente lavora come professore assistente presso il Dipartimento di Informatica e Ingegneria, G. Narayanamma Institute of Technology & Science for women College, India. Ha circa 14 anni di esperienza di insegnamento.