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Handbook of research on organizational transformations through big data analytics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook of research on organizational transformations through big data analytics // Madjid Tavana and Kartikeya Puranam, editors.
其他作者:	Tavana, Madjid,
面頁冊數:	PDFs (529 pages).
標題:	Data mining. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-7272-7
ISBN:	9781466672734 (ebook)

Handbook of research on organizational transformations through big data analytics /
Handbook of research on organizational transformations through big data analytics /Madjid Tavana and Kartikeya Puranam, editors. - PDFs (529 pages).

Includes bibliographical references.

Business analytics and big data: driving organizational change / Dennis T. Kennedy, Dennis M. Crossen, Kathryn A. Szabat -- Predictive analytics / Sema A. Kalaian, Rafa M. Kasim -- Using big data opinion mining to predict rises and falls in the stock price index / Yoosin Kim, Michelle Jeong, Seung Ryul Jeong -- A modified stacking ensemble machine learning algorithm using genetic algorithms / Riyaz Sikora, O'la Al-Laymoun -- Organizational performance-design process: a discrete-events simulation approach / Hossein Arsham, Shaya Sheikh -- Data, information, and knowledge: developing an intangible assets strategy / G. Scott Erickson, Helen N. Rothberg -- Business analytics for business analysts in manufacturing / Coleen Wilder, Ceyhun Ozgur -- Big data transforming small and medium enterprises / Donna M. Schaeffer, Patrick C. Olson -- Nonprofit fundraising transformation through analytics / David George Vequist IV -- The role of business analytics in performance management / Kijpokin Kasemsap -- Evaluation of information awareness and understanding through different internal communication tools / Tanja Sedej, Damijan Mumel -- Empirical investigation on the evolution of BI maturity in Malaysian organizations / In Lih Ong, Pei Hwa Siew -- Cultural integration with strategic decision-making process in determining innovation performance: evidence from an Arab country setting / Ekaterini Galanou, Marios Katsioloudes -- A data warehouse integration methodology in support of collaborating SMEs / Marius Octavian Olaru, Maurizio Vincini -- Business intelligence, knowledge management, and customer relationship management technological support in enterprise competitive competence / Ming-Chang Lee -- Process improvements in supply chain operations: multi-firm case studies / Alan D. Smith -- Consumer information integration at pre-purchase: a discrete choice experiment / M. Deniz Dalman, Junhong Min -- Using data mining techniques and the choice of mode of text representation for improving the detection and filtering of spam / Reda Mohamed Hamou, Abdelmalek Amine -- Using supervised machine learning to explore energy consumption data in private sector housing / Mariya Sodenkamp, Konstantin Hopf, Thorsten Staake -- Application of data mining techniques on library circulation data for library material acquisition and budget allocation / Md. Hossain, Rashedur M. Rahman -- Some aspects of estimators for variance of normally distributed data / N. Hemachandra, Puja Sahu -- An exploration of backpropagation numerical algorithms in modeling US exchange rates / Salim Lahmiri -- Solving solid transportation problems with multi-choice cost and stochastic supply and demand / Sankar Kumar Roy, Deshabrata Roy Mahapatra -- Default probability prediction of credit applicants using a new fuzzy KNN method with optimal weights / Abbas Keramati, Niloofar Yousefi, Amin Omidvar.

Restricted to subscribers or individual electronic text purchasers.

"This book not only catalogues the existing platforms and technologies, it explores new trends within the field of big data analytics (BDA) by presenting new and existing research materials and insights on the various approaches to BDA"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781466672734 (ebook)

Standard No.: 10.4018/978-1-4666-7272-7doi

LCCN: 2014036388Subjects--Topical Terms:

528622
Data mining.
Subjects--Index Terms:

Agile business intelligence

LC Class. No.: QA76.9.D343 / .H48 2015e

Dewey Class. No.: 006.3/12

Handbook of research on organizational transformations through big data analytics /
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505 0 $a Business analytics and big data: driving organizational change / Dennis T. Kennedy, Dennis M. Crossen, Kathryn A. Szabat -- Predictive analytics / Sema A. Kalaian, Rafa M. Kasim -- Using big data opinion mining to predict rises and falls in the stock price index / Yoosin Kim, Michelle Jeong, Seung Ryul Jeong -- A modified stacking ensemble machine learning algorithm using genetic algorithms / Riyaz Sikora, O'la Al-Laymoun -- Organizational performance-design process: a discrete-events simulation approach / Hossein Arsham, Shaya Sheikh -- Data, information, and knowledge: developing an intangible assets strategy / G. Scott Erickson, Helen N. Rothberg -- Business analytics for business analysts in manufacturing / Coleen Wilder, Ceyhun Ozgur -- Big data transforming small and medium enterprises / Donna M. Schaeffer, Patrick C. Olson -- Nonprofit fundraising transformation through analytics / David George Vequist IV -- The role of business analytics in performance management / Kijpokin Kasemsap -- Evaluation of information awareness and understanding through different internal communication tools / Tanja Sedej, Damijan Mumel -- Empirical investigation on the evolution of BI maturity in Malaysian organizations / In Lih Ong, Pei Hwa Siew -- Cultural integration with strategic decision-making process in determining innovation performance: evidence from an Arab country setting / Ekaterini Galanou, Marios Katsioloudes -- A data warehouse integration methodology in support of collaborating SMEs / Marius Octavian Olaru, Maurizio Vincini -- Business intelligence, knowledge management, and customer relationship management technological support in enterprise competitive competence / Ming-Chang Lee -- Process improvements in supply chain operations: multi-firm case studies / Alan D. Smith -- Consumer information integration at pre-purchase: a discrete choice experiment / M. Deniz Dalman, Junhong Min -- Using data mining techniques and the choice of mode of text representation for improving the detection and filtering of spam / Reda Mohamed Hamou, Abdelmalek Amine -- Using supervised machine learning to explore energy consumption data in private sector housing / Mariya Sodenkamp, Konstantin Hopf, Thorsten Staake -- Application of data mining techniques on library circulation data for library material acquisition and budget allocation / Md. Hossain, Rashedur M. Rahman -- Some aspects of estimators for variance of normally distributed data / N. Hemachandra, Puja Sahu -- An exploration of backpropagation numerical algorithms in modeling US exchange rates / Salim Lahmiri -- Solving solid transportation problems with multi-choice cost and stochastic supply and demand / Sankar Kumar Roy, Deshabrata Roy Mahapatra -- Default probability prediction of credit applicants using a new fuzzy KNN method with optimal weights / Abbas Keramati, Niloofar Yousefi, Amin Omidvar.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book not only catalogues the existing platforms and technologies, it explores new trends within the field of big data analytics (BDA) by presenting new and existing research materials and insights on the various approaches to BDA"--Provided by publisher.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
650 0 $a Data mining. $3 528622
650 0 $a Big data. $3 981821
650 0 $a Organizational change. $3 559246
653 $a Agile business intelligence
653 $a Big data applications
653 $a Big data management
653 $a Business analytics
653 $a Data analysis
653 $a Decision support systems
653 $a Enterprise reporting
700 1 $a Tavana, Madjid, $d 1957- $3 805480
700 1 $a Puranam, Kartikeya, $d 1981- $e editor. $3 1057259
710 2 $a IGI Global, $e publisher. $3 1057167
856 4 1 $3 Chapter PDFs via platform: $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-7272-7