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 information mining and predictive analytics with transparent exposition, hands-on routines, and real-life case reports. Readers will paintings with all the general information mining tools utilizing the Microsoft® workplace Excel® add-in XLMiner® to enhance predictive versions and easy methods to receive company price from immense 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 realizing of key info mining methods
- End-of-chapter workouts that support 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 information units, teachers fabric that come with options to routines and case reports, and Microsoft PowerPoint® slides
- Free 140-day license to take advantage of XLMiner for schooling software
Data Mining for company Analytics: ideas, strategies, and functions in XLMiner®, 3rd Edition is an incredible textbook for upper-undergraduate and graduate-level classes in addition to specialist courses on facts mining, predictive modeling, and large information analytics. the recent variation can also be a special reference for analysts, researchers, and practitioners operating with predictive analytics within the fields of industrial, finance, advertising, laptop technological know-how, and knowledge technology.
Read Online or Download Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner PDF
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