Introduction to data mining, addison-wesley

Introduction to Data Mining (First Edition) 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 Solution Manual Errata (Ma) Webpage for Second Edition (). Introduction to Data Mining Tan, Steinbach and Kumar, Addison Wesley, Data Mining: Concepts and Techniques J. Han, M. Kamber: Morgan Kaufmann, Course Contribution College Outcome *** a An ability to apply knowledge of mathematics, science, and engineering. 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 .

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 timeframe. Included are discussions of exploring data, classification, clustering, association analysis, cluster analysis, and anomaly detection. 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. Introduction to Data Mining (First Edition) 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 Solution Manual Errata (Ma) Webpage for Second Edition ().

Pearson Addison Wesley, - Computers - pages 0 Reviews Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Introduction to Data Mining,By: Pang-Ning Tan, Michael Steinbach, Vipin Kumar - Addison Wesley,, Powered by Create your own unique website with customizable templates. Data mining is a lot about structuring data before you process it. The authors miss this point in writing a book: There is only one page table of contents for ~ pages of complex knowledge. There are no pages given when referring to other sections of the book.