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Machine learning techniques for impr...

Kumar G., Dileep, (1982-)

Machine learning techniques for improved business analytics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning techniques for improved business analyticsDileep 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:

202057
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 9781522535348 (hardback)
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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 202057
650 0 $a Business planning. $3 199822
650 0 $a Decision making $x Statistical methods. $3 208497
650 0 $a Machine learning. $3 188639
650 0 $a Management $x Statistical methods. $3 185268
700 1 $a Kumar G., Dileep, $d 1982- $e editor. $3 745714
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3534-8