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

Data Mining for company Analytics: innovations, innovations, and functions in XLMiner®, 3rd Edition presents an utilized method of info mining and predictive analytics with transparent exposition, hands-on workouts, and real-life case reviews. Readers will paintings with the entire normal information mining equipment utilizing the Microsoft® workplace Excel® add-in XLMiner® to enhance predictive types and the best way to receive company worth from sizeable 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 sensible figuring out of key info mining methods 
  • End-of-chapter routines that support readers larger comprehend the offered material
  • Data-rich case reports to demonstrate quite a few functions of information mining techniques
  • Completely new chapters on social community research and textual content mining
  • A spouse web site with extra information units, teachers fabric that come with recommendations to workouts and case experiences, and Microsoft PowerPoint® slides
  • Free 140-day license to take advantage of XLMiner for schooling software

Data Mining for enterprise Analytics: innovations, ideas, and purposes in XLMiner®, 3rd Edition is an incredible textbook for upper-undergraduate and graduate-level classes in addition to specialist courses on info mining, predictive modeling, and large info analytics. the hot version is additionally a special reference for analysts, researchers, and practitioners operating with predictive analytics within the fields of industrial, finance, advertising, laptop technology, and knowledge technology.

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Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner by Galit Shmueli,Peter C. Bruce,Nitin R. Patel

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