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Machine learning techniques for impr...

Kumar G., Dileep, (1982-)

Machine learning techniques for improved business analytics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine learning techniques for improved business analytics/ Dileep Kumar G., editor.
other author:	Kumar G., Dileep,
Published:	Hershey, Pennsylvania :IGI Global, : [2017],
Description:	1 online resource (xiv, 286 p.)
Subject:	Business intelligence. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3534-8
ISBN:	9781522535355 (e-book)

Machine learning techniques for improved business analytics
Machine learning techniques for improved business analytics[electronic resource] /Dileep Kumar G., editor. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xiv, 286 p.)

Includes bibliographical references and index.

Chapter 1. Tree-based modeling techniques -- Chapter 2. Knowledge discovery from evolving data streams -- Chapter 3. Multivariate analysis: factor and discriminant analyses -- Chapter 4. Association rules-based gray relational approach for e-commerce recommender system -- Chapter 5. Big data analytics in healthcare sector -- Chapter 6. Big data analytics in social media: an overview -- Chapter 7. Forecasting software vulnerabilities using time-series techniques -- Chapter 8. An exploratory analysis using co-authorship network: trends in risk behavior -- Chapter 9. International diversified portfolio optimization with artificial neural networks: an application with foreign companies listed on NYSE.

Restricted to subscribers or individual electronic text purchasers.

"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increases evolutionary computation awareness in Machine Learning by providing a clear direction for applying machine learning techniques in Business Industry"--Provided by publisher.

ISBN: 9781522535355 (e-book)Subjects--Topical Terms:

557121
Business intelligence.

LC Class. No.: HD38.7 / .M28 2017e

Dewey Class. No.: 658.4/72

Machine learning techniques for improved business analytics
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020 $a 9781522535355 (e-book)
020 $a 9781522535348 (hardback)
035 $a (OCoLC)1040046021
035 $a 1081021185
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a HD38.7 $b .M28 2017e
082 0 0 $a 658.4/72 $2 23
245 0 0 $a Machine learning techniques for improved business analytics $h [electronic resource] / $c Dileep Kumar G., editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
300 $a 1 online resource (xiv, 286 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Tree-based modeling techniques -- Chapter 2. Knowledge discovery from evolving data streams -- Chapter 3. Multivariate analysis: factor and discriminant analyses -- Chapter 4. Association rules-based gray relational approach for e-commerce recommender system -- Chapter 5. Big data analytics in healthcare sector -- Chapter 6. Big data analytics in social media: an overview -- Chapter 7. Forecasting software vulnerabilities using time-series techniques -- Chapter 8. An exploratory analysis using co-authorship network: trends in risk behavior -- Chapter 9. International diversified portfolio optimization with artificial neural networks: an application with foreign companies listed on NYSE.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increases evolutionary computation awareness in Machine Learning by providing a clear direction for applying machine learning techniques in Business Industry"--Provided by publisher.
650 0 $a Business intelligence. $3 557121
650 0 $a Business planning. $3 559374
650 0 $a Decision making $x Statistical methods. $3 564783
650 0 $a Machine learning. $3 561253
650 0 $a Management $x Statistical methods. $3 585959
700 1 $a Kumar G., Dileep, $d 1982- $e editor. $3 1097439
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3534-8

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