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Principles of data mining / Max Bramer [electronic resource]

By: Material type: Computer fileComputer fileSeries: Undergraduate topics in computer sciencePublication details: London, United Kingdom : Springer, 2016Edition: Third editionDescription: 1 online resource (xv, 526 pages) : illustrationsISBN:
  • 9781447173076 (E-book)
Subject(s): LOC classification:
  • QA 76.9.D343 B72P 2016
Online resources:
Contents:
Introduction to Data Mining -- Data for Data Mining -- Introduction to Classification: Na ̈ıve Bayes and Nearest Neighbour -- Using Decision Trees for Classification -- Decision Tree Induction: Using Entropy for Attribute Selection -- Decision Tree Induction : Using Frequency Tables for Attribute Selection -- Estimating the Predictive Accuracy of a Classifier -- Continuous Attributes -- Avoiding Overfitting of Decision Trees -- More About Entropy
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Holdings
Item type Current library Collection Shelving location Call number Status Barcode Course reserves
E-Book E-Book SPU Library, Bangkok (Main Campus) Electronic Resources On Display QA 76.9.D343 B72P 2016 (Browse shelf(Opens below)) Available 9781447173076

เทคโนโลยีบิ๊กดาต้า (BIG DATA TECHNOLOGY) ภาคการศึกษาที่ 2

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Includes bibliographical references and index

Introduction to Data Mining -- Data for Data Mining -- Introduction to Classification: Na ̈ıve Bayes and Nearest Neighbour -- Using Decision Trees for Classification -- Decision Tree Induction: Using Entropy for Attribute Selection -- Decision Tree Induction : Using Frequency Tables for Attribute Selection -- Estimating the Predictive Accuracy of a Classifier -- Continuous Attributes -- Avoiding Overfitting of Decision Trees -- More About Entropy

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