Introduction data mining tan steinbach kumar

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Introduction to Data Mining [Kumar, Steinbach Tan] on Amazon.com. *FREE* shipping on qualifying offers. Paperback International Edition Same contents as in the US 3.6/5(57). Introduction to Data Mining Pang-Ning Tan Michael Steinbach Vipin Kumar Discuss whether or not each of the following activities is a data mining. Introduction to Data Mining, 2nd Edition. By Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar. Introduction. 2. Data. 3.
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and. – Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, 2003 – Data Mining: Concepts and Techniques by Jiawei. Introduction to Data Mining [Kumar, Steinbach Tan] on Amazon.com. *FREE* shipping on qualifying offers. Paperback International Edition Same contents as in the US 3.6/5(57). Introduction to Data Mining Pang-Ning Tan Michael Steinbach Vipin Kumar Discuss whether or not each of the following activities is a data mining. Introduction to Data Mining, 2nd Edition. By Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar. Introduction. 2. Data. 3.

International Edition

About this Item: Softcover. Condition: New. Brand NEW, Paperback International Edition. Black & White or color, Cover and ISBN are same as ISBN stated with similar introduction data mining tan steinbach kumar as US editions. Standard delivery takes 3-6 business days by USPS/UPS/Fedex with tracking number. Choose expedited shipping for superfast delivery 2-4 business days. We also ship to PO Box addresses. International Edition Textbooks may bear a label ?Not for sale in the U.S. or Canada? etc. printed only to discourage U.S. students from obtaining an affordable copy. Legal to use despite any disclaimer on cover introduction data mining tan steinbach kumar per US court. No access code or CD included unless specified. In some instances, the international textbooks may have different exercises at the end of the chapters. Printed in English. 100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Seller Inventory # IN-INT55

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International Edition

About this Item: Softcover. Condition: New. Brand NEW, Paperback International Edition. Black & Introduction data mining tan steinbach kumar or color, Cover and ISBN may be different but similar contents as US editions. Standard delivery takes 3-6 business days by USPS/UPS/Fedex with tracking number. Choose expedited shipping for superfast delivery 2-4 business days, introduction data mining tan steinbach kumar. We also ship to PO Box addresses. International Edition Textbooks may bear a label ?Not for sale in the U.S. or Canada? etc. printed only to discourage U.S. students from obtaining an affordable copy. Legal to use despite any disclaimer on cover as per US court. No access code or CD included unless specified. In some instances, the international textbooks may have different exercises at the end of the chapters. Printed in English. 100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Seller Inventory # INT55

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International Edition

About this Item: 2016. Softcover. Condition: New. 1st edition. Brand NEW, Paperback International Edition. Black & White or color, Cover and ISBN same with similar contents as US editions. Standard delivery takes 5-9 business days by USPS/DHL with tracking number. Choose expedited shipping for superfast delivery 3-5 business days by UPS/DHL/FEDEX. We also ship to PO Box addresses but by Standard delivery and shipping charges will be extra. International Edition Textbooks may bear a label -Not for sale in the U.S. or Canada- etc. printed only to discourage U.S. students from obtaining an affordable copy. Legal to use despite any disclaimer on cover as per US court. No access code or CD included unless specified. In some instances, the international textbooks may have different exercises at the end of the chapters. Printed in English, introduction data mining tan steinbach kumar. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage. In case of orders from Europe, custom charges may comply by the relevant government authority and we are not liable for it. 100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Seller Inventory # LPBD1407519

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International Edition

About this Item: 2016. Softcover. Condition: New. 1st edition. Brand NEW, Paperback International Edition. Black & White or color, Cover and ISBN may be different but similar contents as US editions. Standard delivery takes 5-9 business days by USPS/DHL with tracking number. Choose expedited shipping for superfast delivery 3-5 business days by UPS/DHL/FEDEX. We also ship to PO Box addresses but h270 plus mining Standard delivery and shipping charges will be extra. International Edition Textbooks may bear a label -Not for sale in the U.S. or Canada- etc. printed only to discourage U.S. students from obtaining an affordable copy. Legal to use despite any disclaimer on cover as introduction data mining tan steinbach kumar US court. No access code or CD included unless specified, introduction data mining tan steinbach kumar. In some instances, the international textbooks may have different exercises at the end of the chapters. Printed in English. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage. In case of orders from Europe, custom charges may comply by the relevant government authority and we are not liable for it. 100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Seller Inventory # LPBDUS1407519

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About this Item: Pearson Education, 2015. Softcover, introduction data mining tan steinbach kumar. Condition: New. Introduction to Data Mining is a comprehensive book for computer science undergraduates and professionals taking up a course in the computational process of discovering patterns in large sets of data. The book introduces students to the concepts of data mining, covering practical and theoretical aspects of the subject. It contains a large number of examples to illustrate the concepts, making it easier for students to put the introduction data mining tan steinbach kumar in an application-based setting. In addition, the book includes instructor resources, giving lecturers access to online resources for exercises and complete set of lecture slides. The book is indispensable to all computer science engineers and statisticians. Table of Contents 1. Introduction 2. Data 3. Exploring Data 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation 5. Classification: Alternative Techniques 6. Association Analysis: Basic Concepts and Algorithms 7. Association Analysis: Advanced Concepts 8. Cluster Analysis: Basic Concepts and Algorithms 9, introduction data mining tan steinbach kumar. Cluster Analysis: Additional Issues and Algorithms 10. Anomaly Detection Appendix B: Dimensionality Reduction Appendix D: Regression Appendix E: Optimization Printed Pages: 732. Seller Inventory # 101448

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About this Item: Pearson Education 0. Softcover. Condition: New. Table of Content Chapter 1 Introduction Chapter 2 Data Chapter 3 Exploring Data Chapter 4 Classification: Basic Concepts, Decision Trees, and Model Evaluation Chapter 5 Classification: Alternative Techniques Chapter 6 Association Analysis: Basic Concepts and Algorithms Chapter 7 Association Analysis: Advanced Concepts Chapter 8 Cluster Analysis: Basic Concepts and Algorithms Chapter 9 Cluster Analysis: Additional Issues and Algorithms Chapter 10 Anomaly Detection Printed Pages: 780. Seller Inventory # 108825

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About this Item: Pearson Education, 2015. Softcover. Condition: New. Introduction to Data Mining is a comprehensive book for computer science undergraduates and professionals taking up a course in the computational process of discovering patterns in large sets of data. The book introduces students to the concepts of data mining, covering practical and theoretical aspects of the subject. It contains a large number of examples to illustrate the concepts, making it easier for students to put the theory in an application-based setting. In addition, the book includes instructor resources, giving lecturers access to online resources for exercises and complete set of lecture slides. The book is indispensable to all computer science engineers and statisticians. Table of Contents 1. Introduction 2. Data 3. Exploring Data 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation 5. Classification: Alternative Techniques 6. Association Analysis: Basic Concepts and Algorithms 7. Association Introduction data mining tan steinbach kumar Advanced Concepts 8. Cluster Analysis: Basic Concepts and Algorithms 9. Cluster Analysis: Additional Issues and Algorithms 10. Anomaly Detection Appendix B: Dimensionality Reduction Appendix D: Regression Appendix E: Optimization Printed Pages: 732. Seller Inventory # 101448

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About this Item: Pearson Education 0. Softcover. Condition: New. Table of Content Chapter 1 Introduction Chapter 2 Data Chapter 3 Exploring Data Chapter 4 Classification: Basic Concepts, Decision Trees, and Model Evaluation Chapter 5 Classification: Alternative Techniques Chapter 6 Association Analysis: Basic Concepts and Algorithms Chapter 7 Association Analysis: Advanced Concepts Chapter 8 Cluster Analysis: Basic Concepts and Algorithms Chapter 9 Cluster Analysis: Additional Issues and Algorithms Chapter 10 Anomaly Detection Printed Pages: 780. Seller Inventory # 108825

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International Edition

About this Item: Softcover. Condition: Brand New. . Black & White or color International Edition. ISBN and front cover may be different, but contents are same as the US edition. Book printed in English. Territorial restrictions may be printed on the book. GET IT FAST within 3-5 business days by DHL/FedEx/Aramex and tracking number will be uploaded into your order page within 24-48 hours. Kindly provide day time phone number in order to ensure smooth delivery, introduction data mining tan steinbach kumar. No shipping to PO BOX, APO, FPO addresses. 100% Customer satisfaction guaranteed!. Seller Inventory # UBS04232

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Источник:




Tan, Steinbach & Kumar, Introduction to Data Mining | Pearson

Introduction to Data Mining, 2nd Edition. By Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar. Introduction. 2. Data. 3. Sep 06, 2004 · Scribd is the world's Introduction to Data Mining (P. N. Tan, M. Steinbach, V 1 Introduction 1 1.1 What Is Data Mining 1/5(18). online documents on R and data mining Data Mining. Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach and Vipin Kumar. Introduction to Data Mining, Pang-Ning Tan, Link Mining for a Social III, Michael Steinbach, Vipin Kumar, A pattern mining based integrative framework. Introduction to Data Mining. The CONTENT'S of International Edition are same with the US ORIGINAL HARD COVER. These books were originally created to be sold in 5/5(4). Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, Vipin Kumar and a great selection of similar Used, New and Collectible Books available now at.

Introduction to Data Mining, Pang-Ning Tan, Link Mining for a Social III, Michael Steinbach, Vipin Kumar, A pattern mining based integrative framework. online documents on R and data mining Data Mining. Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach and Vipin Kumar. Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, Vipin Kumar and a great selection of similar Used, New and Collectible Books available now at.


Introducing the fundamental concepts and algorithms of data mining

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 of data mining to real problems. The text helps readers understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves 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 and data growth.

1. Introduction

2. Data

3. Classification: Basic Concepts and Techniques

4. Classification: Alternative Techniques

5. Association Analysis: Basic Concepts and Algorithms

6. Association Analysis: Advanced Concepts

7. Cluster Analysis: Basic Concepts and Algorithms

8. Cluster Analysis: Additional Issues and Algorithms

9. Anomaly Detection

10. Avoiding False Discoveries

Источник:

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