Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

✍ Scribed by Galit Shmueli, Peter C. Bruce, Nitin R. Patel

• Publisher: Wiley
• Year: 2016
• Tongue: English
• Leaves: 549
• Edition: 3
• Category: Library

✦ Synopsis

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more. Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology.

✦ Subjects

Data Mining;Databases & Big Data;Computers & Technology;Spreadsheets;Software;Computers & Technology;Probability & Statistics;Applied;Mathematics;Science & Math;Database Storage & Design;Computer Science;New, Used & Rental Textbooks;Specialty Boutique;Statistics;Mathematics;Science & Mathematics;New, Used & Rental Textbooks;Specialty Boutique