Label: $68.90
Condition: |
Ticket Easy: A brand original, unread, unused e-book in marvelous situation and not utilizing a lacking or damaged pages. See the seller’s |
Structure: | Hardcover |
Accurate ISBN: | 9780273769224 | Publication Year: | 2018 |
Model: | World Edition | Language: | English |
Ebook Structure: | Softcover | ISBN: |
9780133128901 |
EAN: |
9780133128901 |
Product Data | |
Introduction to Data Mining, 2nd Edition, is supposed for exercise within the Data Mining course. It is miles also correct for folks looking out out an introduction to data mining. The textual drawl material assumes handiest a modest statistics or arithmetic background, and no database knowledge is wished. Introduction to Data Mining presents elementary ideas and algorithms for those finding out data mining for the first time. Each theory is explored totally and supported with masses of examples. The textual drawl material requires handiest a modest background in arithmetic. Each main topic is organized into two chapters, starting with frequent ideas that provide an critical background for thought every data mining technique, followed by more evolved ideas and algorithms. Instructing and Studying Expertise This program will present a greater instructing and finding out journey-for you and your college students. This would possibly per chance motivate: Recent Predominant Ideas and Algorithms: Written for the beginner, this text provides each theoretical and realistic coverage of all data mining issues. Make stronger Studying: Instructor sources consist of solutions for exercises and a total catch 22 situation of lecture slides. | |
Product Identifiers | |
Writer | Pearson Training |
ISBN-10 | 0133128903 |
ISBN-13 | 9780133128901 |
eBay Product ID (ePID) | 240532218 |
Product Key Capabilities | |
Structure | Hardcover |
Publication Year | 2018 |
Language | English |
Dimensions | |
Weight | 44 Oz |
Width | 7.4in. |
Height | 1.3in. |
Length | 9.2in. |
Additional Product Capabilities | |
Dewey Edition | 23 |
Dewey Decimal | 006.3/12 |
Series | What’s Easy in Computer Science |
Copyright Date | 2019 |
Creator | Anuj Karpatne, Michael Steinbach, Vipin Kumar, Pang-Ning Tan |
Edition Number | 2 |
Number of Pages | 864 Pages |
Lc Classification Number | Qa76.9.D343 |
Publication Date | 2018-01-04 |
Lccn | 2017-048641 |
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