|
Showing 1 - 2 of
2 matches in All Departments
"Introduction to Data Mining" presents fundamental concepts and
algorithms for those learning data mining for the first time. Each
concept is explored thoroughly and supported with numerous
examples. The text requires only a modest background in
mathematics. Each major topic is organized into two chapters,
beginning with basic concepts that provide necessary background for
understanding each data mining technique, followed by more advanced
concepts and algorithms.
Introducing the fundamental concepts and algorithms of data mining
Introduction to Data Mining, 2nd Edition, gives a comprehensive
overview of the background and general themes of data mining and is
designed to be useful to students, instructors, researchers, and
professionals. Presented in a clear and accessible way, the book
outlines fundamental concepts and algorithms for each topic, thus
providing the reader with the necessary background for the
application of data mining to real problems. The text helps readers
understand the nuances of the subject, and includes important
sections on classification, association analysis, and cluster
analysis. This edition improves on the first iteration of the book,
published over a decade ago, by addressing the significant changes
in the industry as a result of advanced technology and data growth.
|
You may like...
Horn
Peter Kuhnert
Paperback
(1)
R173
Discovery Miles 1 730
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.