Intro to Data Mining

Intro to Data Mining

by Tan, Pang-Ning

Type Book
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Intro to Data Mining.

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Title Statements

  • Full title :Intro to Data Mining

Summary

Intro to Data Mining.

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Edition Statements

  • Publication Date:2005.

Publication Statements

  • Publisher(s):P. Ed Australia
  • Place of Publication:New Jersey
  • Language:eng
  • Publication Date:2005.

Notes

4.6.3: Comparing the Performance of Two Classifiers

The Physical Object

  • Description:1 online resource (792 pages)

Edition Identifiers

  • ISBN:9781488666865, 1488666865
  • oclc:on1028222142
  • LC Classification:QA76.9.D343T35 2005
  • Dewey Decimal:006.3/12

Table of Contents

Cover; Dedication; Preface; Contents; Chapter 1: Introduction; 1.1: What Is DataMining?; 1.2: Motivating Challenges; 1.3: The Origins of Data Mining; 1.4: DataMining Tasks; 1.5: Scope and Organization of the Book; 1.6: Bibliographic Notes; 1.7: Exercises; Chapter 2: Data; 2.1: Types of Data; 2.1.1: Attributes and Measurement; 2.1.2: Types of Data Sets; 2.2: Data Quality; 2.2.1: Measurement and Data Collection Issues; 2.2.2: Issues Related to Applications; 2.3: Data Preprocessing; 2.3.1: Aggregation; 2.3.2: Sampling; 2.3.3: Dimensionality Reduction; 2.3.4: Feature Subset Selection

2.3.5: Feature Creation2.3.6: Discretization and Binarization; 2.3.7: Variable Transformation; 2.4: Measures of Similarity and Dissimilarity; 2.4.1: Basics; 2.4.2: Similarity and Dissimilarity between Simple Attributes; 2.4.3: Dissimilarities between Data Objects; 2.4.4: Similarities between Data Objects; 2.4.5: Examples of Proximity Measures; 2.4.6: Issues in Proximity Calculation; 2.4.7: Selecting the Right Proximity Measure; 2.5: Bibliographic Notes; 2.6: Exercises; Chapter 3: Exploring Data; 3.1: The Iris Data Set; 3.2: Summary Statistics; 3.2.1: Frequencies and the Mode

3.2.2: Percentiles3.2.3: Mea…

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