By Galit Shmueli,Peter C. Bruce,Nitin R. Patel

Data Mining for enterprise Analytics: options, ideas, and functions in XLMiner®, 3rd Edition presents an utilized method of info mining and predictive analytics with transparent exposition, hands-on routines, and real-life case experiences. Readers will paintings with the entire normal info mining equipment utilizing the Microsoft® workplace Excel® add-in XLMiner® to boost predictive versions and how one can receive company worth from substantial Data.

Featuring up-to-date topical assurance on textual content mining, social community research, collaborative filtering, ensemble equipment, uplift modeling and extra, the Third Edition additionally includes:

  • Real-world examples to construct a theoretical and functional figuring out of key information mining methods 
  • End-of-chapter workouts that aid readers larger comprehend the awarded material
  • Data-rich case reports to demonstrate a number of purposes of information mining techniques
  • Completely new chapters on social community research and textual content mining
  • A better half web site with extra facts units, teachers fabric that come with strategies to routines and case reviews, and Microsoft PowerPoint® slides
  • Free 140-day license to exploit XLMiner for schooling software

Data Mining for enterprise Analytics: ideas, ideas, and purposes in XLMiner®, 3rd Edition is a fantastic textbook for upper-undergraduate and graduate-level classes in addition to expert courses on info mining, predictive modeling, and large facts analytics. the hot variation can also be a special reference for analysts, researchers, and practitioners operating with predictive analytics within the fields of commercial, finance, advertising, laptop technological know-how, and knowledge technology.

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