Midlands State University Library
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Data mining : concepts and techniques / created by Jiawei Han, Micheline Kamber and Jian Pei.

By: Contributor(s): Material type: TextTextPublication details: Burlington, MA : Elsevier, 2012.Edition: 3rd edDescription: xxxv, 703 pages ill. ; 25 cmISBN:
  • 9780123814791
Subject(s): DDC classification:
  • 006.3/12 22
LOC classification:
  • QA76.9 .D343 HAN
Contents:
1. Introduction 2. Getting to Know Your Data 3. Preprocessing: Data Reduction, Transformation, and Integration 4. Data Warehousing and On-Line Analytical Processing 5. Data Cube Technology 6. Mining Frequent Patterns, Associations and Correlations: Concepts and Methods 7. Advanced Frequent Pattern Mining 8. Classification: Basic Concepts 9. Classification: Advanced Methods 10. Cluster Analysis: Basic Concepts and Methods 11. Cluster Analysis: Advanced Methods 12. Outlier Analysis 13. Trends and Research Frontiers in Data Mining
Summary: Equips you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets. This title focuses on important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Book Main Library Open Shelf QA76.9.D343 HAN (Browse shelf(Opens below)) 157009 Available BK144795
Book Book Main Library Open Shelf QA76.9.D343 HAN (Browse shelf(Opens below)) 157008 Available BK144658
Book Book Main Library Open Shelf QA76.9.D343 HAN (Browse shelf(Opens below)) 153984 Available BK141143
Book Book Main Library Open Shelf QA76.9.D343 HAN (Browse shelf(Opens below)) 153878 Available BK141167
Book Book Zvishavane Library Open Shelf QA76.9.D343 HAN (Browse shelf(Opens below)) 153985 Available BK141171
Book Book Zvishavane Mining Sciences Library Open Shelf QA76.9.D343 HAN (Browse shelf(Opens below)) 153983 Available BK141137

Includes references and an index

1. Introduction 2. Getting to Know Your Data 3. Preprocessing: Data Reduction, Transformation, and Integration 4. Data Warehousing and On-Line Analytical Processing 5. Data Cube Technology 6. Mining Frequent Patterns, Associations and Correlations: Concepts and Methods 7. Advanced Frequent Pattern Mining 8. Classification: Basic Concepts 9. Classification: Advanced Methods 10. Cluster Analysis: Basic Concepts and Methods 11. Cluster Analysis: Advanced Methods 12. Outlier Analysis 13. Trends and Research Frontiers in Data Mining

Equips you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets. This title focuses on important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data.

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