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Contact网页INTRODUCTION TO DATA MININGINTRODUCTION TO DATA MINING SECOND EDITION PANG-NING TAN Michigan State University MICHAEL STEINBACH University of Minnesota ANUJ KARPATNE University of Minnesota VIPIN KUMAR University of Minnesota 330 Hudson Street, NY NY 10013
Contact网页Introduction to data mining by Tan, Pang-Ning. Publication date 2006 Topics Data mining Publisher Boston : Pearson Addison Wesley Collection inlibrary; printdisabled; internetarchivebooks Pdf_module_version 0.0.17 Ppi 360 Rcs_key 24143 Republisher_date 20211125005214 Republisher_operator
Contact网页Pang-Ning Tan Michael Steinbach 2020PearsonEducation,Inc.Allrightsreserved. Contents 1 Introduction 1 2Data 5 3 Classification: Basic Concepts and Techniques 19 4 Classification: Alternative Techniques 41 5 Association Analysis: Basic Concepts and Algorithms 65 considered by data mining. However, in this specific case, solu-
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Contact网页Title of E-book: Introduction to Data Mining Course No: IME672A Author: Pang-Ning Tan, Michael Steinbach, Vipin Kumar Publisher: Pearson Education How to Access: Acces 0512 2597233 (Circulation) [email protected]
Contact网页Introduction to Data Mining. Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota Vipin Kumar, University of Minnesota Table of Contents Sample Chapters Resources for Instructors and Students Instructor Solution Manual Errata (March 25, 2006) Addison-Wesley Companion Book Site Contact info:
Contact网页2018年1月4日内容简介. 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
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Contact网页Introduction to Data Mining eBook: Global Edition Pang-Ning Tan 2019-03-04 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.
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Contact网页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
Contact网页2021年3月1日Data mining does not replace other areas of data analysis, but rather takes them as the foundation for much of its work. While some areas of data mining, such as association analysis, are unique to the field, other areas, such as clustering, classification, and anomaly detection, build upon a long history of work on these topics in other fields.
Contact网页Pang-Ning Tan Michael Steinbach 2020PearsonEducation,Inc.Allrightsreserved. Contents 1 Introduction 1 2Data 5 3 Classification: Basic Concepts and Techniques 19 4 Classification: Alternative Techniques 41 5 Association Analysis: Basic Concepts and Algorithms 65 considered by data mining. However, in this specific case, solu-
Contact网页Title of E-book: Introduction to Data Mining Course No: IME672A Author: Pang-Ning Tan, Michael Steinbach, Vipin Kumar Publisher: Pearson Education How to Access: Acces 0512 2597233 (Circulation) [email protected]
Contact网页Introduction to Data Mining. Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota Vipin Kumar, University of Minnesota Table of Contents Sample Chapters Resources for Instructors and Students Instructor Solution Manual Errata (March 25, 2006) Addison-Wesley Companion Book Site Contact info:
Contact网页Vipin Kumar, Pang-Ning Tan, Michael Steinback, Anuj Karpatne “Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept
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Contact网页2018年1月4日内容简介. 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
Contact网页Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar HW 1. Chapter 6.10 Exercises. 1. For each of the following questions, provide an example of an association rule from the market basket domain that satisfies the following conditions. Also
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