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Books > Computing & IT > Applications of computing > Databases > Data mining
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Data Mining - Theories, Algorithms, and Examples (Hardcover, New)
Loot Price: R4,585
Discovery Miles 45 850
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Data Mining - Theories, Algorithms, and Examples (Hardcover, New)
Series: Human Factors and Ergonomics
Expected to ship within 12 - 17 working days
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New technologies have enabled us to collect massive amounts of data
in many fields. However, our pace of discovering useful information
and knowledge from these data falls far behind our pace of
collecting the data. Data Mining: Theories, Algorithms, and
Examples introduces and explains a comprehensive set of data mining
algorithms from various data mining fields. The book reviews
theoretical rationales and procedural details of data mining
algorithms, including those commonly found in the literature and
those presenting considerable difficulty, using small data examples
to explain and walk through the algorithms. The book covers a wide
range of data mining algorithms, including those commonly found in
data mining literature and those not fully covered in most of
existing literature due to their considerable difficulty. The book
presents a list of software packages that support the data mining
algorithms, applications of the data mining algorithms with
references, and exercises, along with the solutions manual and
PowerPoint slides of lectures. The author takes a practical
approach to data mining algorithms so that the data patterns
produced can be fully interpreted. This approach enables students
to understand theoretical and operational aspects of data mining
algorithms and to manually execute the algorithms for a thorough
understanding of the data patterns produced by them.
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