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Machine learning techniques for impr...

Kumar G., Dileep, (1982-)

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Machine learning techniques for improved business analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning techniques for improved business analytics/ Dileep Kumar G., editor.
其他作者:	Kumar G., Dileep,
出版者:	Hershey, Pennsylvania :IGI Global, : [2017],
面頁冊數:	1 online resource (xiv, 286 p.)
內容註:	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.
標題:	Business intelligence. -
電子資源:	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:

669648
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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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 669648
650 0 $a Business planning. $3 602297
650 0 $a Decision making $x Statistical methods. $3 750247
650 0 $a Machine learning. $3 533906
650 0 $a Management $x Statistical methods. $3 615393
700 1 $a Kumar G., Dileep, $d 1982- $e editor. $3 3395601
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3534-8