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Books > Computing & IT > Applications of computing > Databases > Data mining
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Data Mining with R - Learning with Case Studies, Second Edition (Paperback, 2nd edition)
Loot Price: R1,393
Discovery Miles 13 930
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Data Mining with R - Learning with Case Studies, Second Edition (Paperback, 2nd edition)
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Expected to ship within 12 - 17 working days
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Data Mining with R: Learning with Case Studies, Second Edition uses
practical examples to illustrate the power of R and data mining.
Providing an extensive update to the best-selling first edition,
this new edition is divided into two parts. The first part will
feature introductory material, including a new chapter that
provides an introduction to data mining, to complement the already
existing introduction to R. The second part includes case studies,
and the new edition strongly revises the R code of the case studies
making it more up-to-date with recent packages that have emerged in
R. The book does not assume any prior knowledge about R. Readers
who are new to R and data mining should be able to follow the case
studies, and they are designed to be self-contained so the reader
can start anywhere in the document. The book is accompanied by a
set of freely available R source files that can be obtained at the
book's web site. These files include all the code used in the case
studies, and they facilitate the "do-it-yourself" approach followed
in the book. Designed for users of data analysis tools, as well as
researchers and developers, the book should be useful for anyone
interested in entering the "world" of R and data mining. About the
Author Luis Torgo is an associate professor in the Department of
Computer Science at the University of Porto in Portugal. He teaches
Data Mining in R in the NYU Stern School of Business' MS in
Business Analytics program. An active researcher in machine
learning and data mining for more than 20 years, Dr. Torgo is also
a researcher in the Laboratory of Artificial Intelligence and Data
Analysis (LIAAD) of INESC Porto LA.
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