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Machine learning techniques for impr...

Kumar G., Dileep, (1982-)

Machine learning techniques for improved business analytics[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	658.4/72
書名/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.)
標題:	Business intelligence.
標題:	Business planning.
標題:	Decision making - Statistical methods.
標題:	Machine learning.
標題:	Management - Statistical methods.
ISBN:	9781522535355 (e-book)
ISBN:	9781522535348 (hardback)
書目註:	Includes bibliographical references and index.
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.
摘要、提要註:	"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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3534-8

Machine learning techniques for improved business analytics[electronic resource] /
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:

189092
Business intelligence.

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

Dewey Class. No.: 658.4/72

Machine learning techniques for improved business analytics[electronic resource] /
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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 189092
650 0 $a Business planning. $3 337897
650 0 $a Decision making $x Statistical methods. $3 337770
650 0 $a Machine learning. $3 202931
650 0 $a Management $x Statistical methods. $3 447178
700 1 $a Kumar G., Dileep, $d 1982- $e editor. $3 650785
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3534-8

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