Commercial Data Mining Commercial Data Mining

Commercial Data Mining

Processing, Analysis and Modeling for Predictive Analytics Projects

    • US$49.99
    • US$49.99

출판사 설명

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.

Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book.



- Illustrates cost-benefit evaluation of potential projects

- Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools

- Approachable reference can be read from cover to cover by readers of all experience levels

- Includes practical examples and case studies as well as actionable business insights from author's own experience

장르
컴퓨터 및 인터넷
출시일
2014년
1월 29일
언어
EN
영어
길이
304
페이지
출판사
Morgan Kaufmann
판매자
Elsevier Ltd.
크기
17.4
MB
Data Science and Big Data Analytics Data Science and Big Data Analytics
2015년
Data Mining Models Data Mining Models
2016년
Data Science and Analytics for SMEs Data Science and Analytics for SMEs
2022년
Data Mining Models, Second Edition Data Mining Models, Second Edition
2018년
Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner
2014년
Digital Analytics Digital Analytics
2017년