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Data mining techniques and applications: An introduction / Hongbo Du.
Publication details: Hampshire, UK : Cengage Learning EMEA, c2010.Description: xvii, 315 p. : ill. ; 24 cmISBN:- 9781844808915 (pbk.)
- 1844808912 (pbk.)
- QA76.9.D343 D8 2010
Contents:
Introduction -- Principles of data minining -- Data, pre-processing and exploration -- Basic techniques for cluster detection -- Other techniques for cluster detection -- Decision tree induction for classification -- Other classification techniques -- Techniques for mining Boolean association rules -- Mining techniques for other types of association -- Data mining in practice.
| Item type | Current library | Home library | Shelving location | Call number | Status | Date due | Barcode | |
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American University in Dubai | American University in Dubai | Main Collection | QA 76.9 .D343 D8 2010 (Browse shelf(Opens below)) | Available | 5014726 | ||
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Books
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American University in Dubai | American University in Dubai | Main Collection | QA 76.9 .D343 D8 2010 (Browse shelf(Opens below)) | Available | 51776 |
Browsing American University in Dubai shelves, Shelving location: Main Collection Close shelf browser (Hides shelf browser)
| QA 76.9 .D343 C47 2011 Data mining algorithms / | QA 76.9 .D343 D3765 2005 Data mining and knowledge discovery handbook / | QA 76.9 .D343 D3814 2005 Data mining and data visualization / | QA 76.9 .D343 D8 2010 Data mining techniques and applications: An introduction / | QA 76.9 .D343 D8 2010 Data mining techniques and applications: An introduction / | QA 76.9.D343 E24 2016 Reality mining : using big data to engineer a better world / | QA 76.9 .D343 F49 2015 Signal : understanding what matters in a world of noise / |
Includes bibliographical references (p.309-312) and index.
Introduction -- Principles of data minining -- Data, pre-processing and exploration -- Basic techniques for cluster detection -- Other techniques for cluster detection -- Decision tree induction for classification -- Other classification techniques -- Techniques for mining Boolean association rules -- Mining techniques for other types of association -- Data mining in practice.
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