Analytics in a Big Data World The Essential Guide to Data Science and its Applications

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reve...

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Bibliographic Details
Main Author: Baesens, Bart (Author)
Format: Manuscript Book
Language:English
Published: Hoboken John Wiley & Sons Inc 2014
Series:Wiley and SAS Business Series.
Subjects:
Online Access:Click Here to View Status and Holdings.
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264 # 1 |a Hoboken  |b John Wiley & Sons Inc  |c 2014 
264 # 4 |c ©2014 
300 # # |a xv, 232 pages  |b illustrations  |c 24 cm 
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500 # # |a Includes notes. Includes index. 
505 0 # |a Big Data and Analytics -- Data Collection, Sampling, and Preprocessing -- Predictive Analytics -- Descriptive Analytics -- Survival Analysis -- Social Network Analytics -- Analytics: Putting It All to Work -- Example Applications. 
520 # # |a The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. 
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526 # # |a Fakulti Sains Gunaan  |b Sarjana Muda Sains (Kepujian) Kimia(AS202)  |c DATA MINING 
546 # # |a In English 
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650 # 0 |a Statistical methods  |x Management 
650 # 0 |a Data processing  |x Management 
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