Data Mining : Concepts and Techniques 3rd  Edition
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    Data Mining : Concepts and Techniques 3rd Edition (English, Paperback, Jain Pei, Jiawei Han, Micheline Kamber)

    Data Mining : Concepts and Techniques 3rd Edition  (English, Paperback, Jain Pei, Jiawei Han, Micheline Kamber)

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    Highlights
    • Language: English
    • Binding: Paperback
    • Publisher: Elsevier
    • ISBN: 9789380931913, 9380931913
    • Edition: 3rd Edition, 2011
    • Pages: 702
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    Description

    The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.

    Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today’s most powerful data mining techniques to meet real business challenges.

    Salient Features

    • Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects.
    • Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields.
    • Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
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    Specifications
    Book Details
    • Publication Year
      • 2011
    • Book Type
      • Non Fiction Book
    • Table of Contents
      • Chapter 1. Introduction
        Chapter 2. Getting to Know Your Data
        Chapter 3. Preprocessing
        Chapter 4. Data Warehousing and On-Line Analytical Processing
        Chapter 5. Data Cube Technology
        Chapter 6. Mining Frequent Patterns, Associations and Correlations: Concepts and Methods
        Chapter 7. Advanced Frequent Pattern Mining
        Chapter 8. Classification: Basic Concepts
        Chapter 9. Classification: Advanced Methods
        Chapter 10. Cluster Analysis: Basic Concepts and Methods
        Chapter 11. Advanced Cluster Analysis
        Chapter 12. Outlier Analysis
        Chapter 13. Data Mining Trends and Research Frontiers in Data Mining

    Contributors
    • Authored By
      • Jain Pei, Jiawei Han, Micheline Kamber
    University Books Details
    • Degree/Diploma
      • UG, B.Tech
    • Specialization
      • Computer Science Engineering, B.Sc(Computer Science), Civil Engineering, Information Technology Engineering
    • Subject
      • Datawarehousing and Data Mining, Data Mining
    • Term
      • 6th Semester, 7th Semester, 4th Year
    Frequently Bought Together
    Data Mining : Concepts and Techniques 3rd  Edition
    Data Mining : Concepts and Techniques 3rd Edition
    4.5
    (119)
    650
    665
    2% off
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    1,179
    Ratings and Reviews
    4.5
    119 Ratings &
    13 Reviews
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    Most Helpful 
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    5

    Awesome

    Best buy
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    Nihal Gami

    Certified Buyer

    14 May, 2017

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    5

    Core book

    It's a good book for building the basic concepts...
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    Soumyajit Chatterjee

    Certified Buyer

    16 Dec, 2016

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    5

    Fabulous!

    It is a good product very useful
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    akhila reddy

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    13 Oct, 2016

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    5

    Very good content.

    Book arrived in perfect condition.
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    Kumar Abhishek

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    9 Aug, 2016

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    5

    Book is perfect

    I really truly say that this book s perfect regarding the theoretical knowledge and also define the concepts in detail.but I also want that what tols used to implement all these ,than u must go for tan-steibach kumar or maroon .But I also don't have these ,I really love what I have.its perfect u can buy it ,its really good .
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    Ashish Pant

    Certified Buyer

    3 May, 2014

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    4

    Data Mining : Concepts and Techniques 3rd Edition

    This book is very useful for data mining are researcher and students. in this book contains elementary level of contents. This book soft copy also available on net free of cost, even though you must have buy Hard copy of this book is better experience.
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    Manoj

    Certified Buyer

    28 Apr, 2014

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    5

    Bible and Text Book. Must Have !!

    * This is a great textbook and bible in DMW.

    * This is good book for novice as well as a professional.

    * The ppt of the book are available free of charge in net and it makes it easier to learn with
    the book.

    * If you have the course. Buy Blindly.

    * Worth Buy.
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    Vipin Nair

    Certified Buyer

    22 Apr, 2014

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    5

    GOOd BOOK

    GOOD BOOK builds up from basic. Content is present in decent and easily understandable way. Covers most of the topics in good detail
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    Gaurav

    Certified Buyer

    19 Mar, 2014

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    5

    Awesome Book if you are not from IT Background!

    This is book have a very easy going approach. Though I have started study after 8 long years and also being from Sales & marketing I found this book has everything to give a platform from where you can step into the world of Data Mining. The PPT given on the website is excellent !!!!
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    MRINMOY HALDER

    Certified Buyer

    12 Feb, 2014

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    4

    A Decent Buy

    Great book to kickstart a Data Mining journey. If you are into the know-hows and basic algorithms, then this book is a go. If you are looking for a lot of code, I wouldn't suggest this one.
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    Vishak

    Certified Buyer

    2 Feb, 2014

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