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وصف كتب مصر
This concise and approachable introduction to data mining selects a mixture of
data mining techniques originating from statistics, machine learning and
databases, and presents them in an algorithmic approach. Aimed primarily at
undergraduate readers, it presents not only the fundamental principles and
concepts of the subject in an easy-to-understand way, but also hands on,
practical instruction on data mining techniques, that readers can put into
practice as they go along using the freely downloadable Weka toolkit. Author
Hongbo Du shares his years of commercial, as well as research-based, experience
in the field through extensive examples and real-world case studies,
highlighting how data mining solutions provided by software tools are used in
practical problem solving. Covering not only traditional areas of data mining
such as association, clustering and classification, this text also explains
topics such as data warehousing, online-analytic processing, and text mining.