Introduction to Data Mining (Pearson+) 2nd Edition is written by Pang-Ning Tan;Michael Steinbach;Vipin Kumar and published by Pearson+. The Digital and eTextbook ISBNs for Introduction to Data Mining …
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 organised into two chapters, beginning …
Fondamental : Diagramme de classe Le diagramme de classes est un sous ensemble d'UML qui s'attache à la description statique d'un modèle de données représentées par des classes d'objets. Remarque Dans le domaine des bases de données, UML peut être utilisé à la place du modèle E-A* pour modéliser le domaine.
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 …
Price Reduced From: $146.65. Free delivery. ISBN-13: 9780133128901. Introduction to Data Mining. Published 2018. Need help?
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INTRODUCTION TO DATA MINING 2ND EDITION. Paperback – January 1, 2021. by PANG-NING TAN MICHAEL STEINBACH ANUJ KARPATNE VIPIN KUMAR …
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 …
We used this book in a class which was my first academic introduction to data mining. The book's strengths are that it does a good job covering the field as it was around the 2008-2009 timeframe. Included are discussions of exploring data, classification, clustering, association analysis, cluster analysis, and anomaly detection.
Introduction to Data Mining, Global Edition, 2nd edition Published by Pearson (March 4, 2019) © 2019. Pang-Ning Tan Michigan State University; Michael Steinbach ...
Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University. He received his M.S. degree in Physics and Ph.D. degree in Computer Science from University of Minnesota. His research interests focus on the development of novel data mining algorithms for a broad range of applications, including …
Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar Summary : "Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics."--Jacket
Pang-Ning Tan received the PhD degree in computer science from the University of Minnesota, in 2002. He is a professor with the Department of Computer Science and Engineering, Michigan State University.
The text helps you understand the nuances of the subject, and includes important sections on classification, association analysis and cluster analysis. This 2nd Editionimproves 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 …
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 organised into two chapters, beginning with basic …
Over 7,000 institutions using Bookshelf across 241 countries. Introduction to Data Mining 2nd Edition is written by Pang-Ning Tan; Michael Steinbach; Vipin Kumar and published by Pearson. The Digital and eTextbook ISBNs for Introduction to Data Mining are 9780134080284, 0134080289 and the print ISBNs are 9780133128901, 0133128903.
Introduction to Data Mining, Global Edition : Tan, Pang-Ning, Steinbach, Michael, Kumar, Vipin, Karpatne, Anuj: ... y no consigo encontrarla por ninguna parte. Por otro lado no entiendo esta nueva moda de que te hagan pagar >50 euros por un libro impreso incompleto para que te tengas que descargar las otras partes del libro de internet. Read …
9780133128901 - Introduction to Data Mining 2nd Edition What's New in Computer Science by Tan, Pang-ning; Steinbach, Michael; Kumar, Vipin: Books (27 results) You searched for: ISBN: 9780133128901
1 Introduction. 1.1 What is Data Mining? 1.2 Motivating Challenges. 1.3 The Origins of Data Mining. 1.4 Data Mining Tasks. 1.5 Scope and Organization of the Book . 1.6 …
Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Summary: "Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics."--Jacket. Print Book, English, 2005.
Edited by ImportBot. import existing book. August 17, 2010. Edited by IdentifierBot. added LibraryThing ID. April 30, 2008. Created by an anonymous user. Imported from amazon record . Introduction to Data Mining by Pang-Ning Tan, June 30, 2006, ADDISON WESLEY PUBLI edition, Paperback in English.
Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Pearson Education, Aug 29, 2013 - Computers - 736 pages. 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 …
Introduction to Data Mining 2nd Edition is written by Pang-Ning Tan; Michael Steinbach; Vipin Kumar and published by Pearson. The Digital and eTextbook ISBNs for Introduction to Data Mining are 9780134080284, 0134080289 and the print ISBNs are 9780133128901, 0133128903. Save up to 80% versus print by going digital with VitalSource. Additional …
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A Visitor's Guide to the City of Zhengzhou. Zhengzhou () is the provincial capital of Henan () Province, located in central China. The Yellow River …
Hardcover : 864 pages. ISBN-10 : 0133128903. ISBN-13 : 978-0133128901. Dimensions : 23.37 x 19.05 x 3.3 cm. Best Sellers Rank: 456,101 in Books ( See Top 100 in Books) 168 in Data Warehousing. 230 in Database Storage & Design Textbooks. 336 in Introduction to Databases.
Professor of Computer Science, Michigan State University - Cited by 34,690 - Data mining
9780133128901 - Introduction to Data Mining 2nd Edition What's New in Computer Science by Tan, Pang-ning; Steinbach, Michael; Kumar, Vipin (23 results) You searched for: ISBN: 9780133128901
Paperback. $61.77 5 Used from $38.99 14 New from $51.99. 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.
Buy Introduction to Data Mining: Pearson New International Edition 1 by Tan, Pang-Ning, Steinbach, Michael, Kumar, Vipin (ISBN: 9781292026152) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.
Yes, you can access Introduction to Data Mining eBook: Global Edition by Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Anuj Karpatne in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.
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Introduction to Data Mining: Global Edition 2nd Edition is written by Pang-Ning Tan; Michael Steinbach; Vipin Kumar; Anuj Karpatne and published by Pearson (Intl). The Digital and eTextbook ISBNs for Introduction to …