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ONLINE PUBLIC ACCESS CATALOG 

Data mining techniques / Joisse Glazier.

By: Material type: TextTextPublication details: United States : AcademiQ Infomedia LLC, 2022.Description: 297 pages : color illustrations, tables ; 23 cmISBN:
  • 9781645341284
Subject(s): DDC classification:
  • 006.312 G553d
Contents:
Chapter 1 Introduction 1 -- Chapter 2 Getting to know your data 39 -- Chapter 3 Data preprocessing 83 -- Chapter 4 Data warehousing and online analytical processing 125 -- Chapter 5 Data cube technology 187 -- Chapter 6 Mining frequently patterns, associations, and correlations: basic concepts and methods 243 -- Chapter 7 Advanced pattern mining 279 -- Chapter 8 Classification: basic concepts 327 -- Chapter 9 Classification: advanced methods 393 -- Chapter 10 Cluster analysis: Basic comcepts and methods 443 -- Chapter 11 Advanced cluster analysis 497 -- Chapter 12 Outlier detection 543 -- Chapter 13 Data mining trends and research frontiers 585 -- Bibliography 633 -- Index 673
Summary: "Authors examine the principles and methods of data mining. Written from a database perspective, they offer the reader a theoretical orientation and practical instruction that can be applied directly to projects."
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book College Library Circulation 006.312 G553d 2022 (Browse shelf(Opens below)) 1-1 Available 68264

Includes glossary and index.

Chapter 1 Introduction 1 -- Chapter 2 Getting to know your data 39 -- Chapter 3 Data preprocessing 83 -- Chapter 4 Data warehousing and online analytical processing 125 -- Chapter 5 Data cube technology 187 -- Chapter 6 Mining frequently patterns, associations, and correlations: basic concepts and methods 243 -- Chapter 7 Advanced pattern mining 279 -- Chapter 8 Classification: basic concepts 327 -- Chapter 9 Classification: advanced methods 393 -- Chapter 10 Cluster analysis: Basic comcepts and methods 443 -- Chapter 11 Advanced cluster analysis 497 -- Chapter 12 Outlier detection 543 -- Chapter 13 Data mining trends and research frontiers 585 -- Bibliography 633 -- Index 673

"Authors examine the principles and methods of data mining. Written from a database perspective, they offer the reader a theoretical orientation and practical instruction that can be applied directly to projects."

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