Commercial Data Mining : Processing, Analysis and Modeling for Predictive Analytics Projects

David Nettleton

ISBN 10: 0124166024 / ISBN 13: 9780124166028

Published by Elsevier Science, 2014

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780124166028

Bibliographic Details

• Title: Commercial Data Mining : Processing, Analysis and Modeling for Predictive Analytics Projects
• Publisher: Elsevier Science
• Publication Date: 2014
• Language: English
• ISBN 10: 0124166024
• ISBN 13: 9780124166028
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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

About the Author

David F. Nettleton has more than 25 years of experience in IT system development, specializing in databases and data analysis. He has a Bachelor of Science degree in Computer Science, Master of Science degree in Computer Software and Systems Design and a Ph.D. in Artificial Intelligence. He has worked for IBM as a Business Intelligence Consultant, among other companies. In 1995 he founded his own consultancy dedicated to commercial data analysis projects, working in the Banking, Insurance, Media, Industry and Health Sectors. He has published over 40 articles and papers in journals, national and international congresses and magazines, and has given many presentations in conferences and workshops. He is currently a contract researcher at the Universitat Pompeu Fabra, Barcelona, Spain and at the IIIA-CSIC, Spain, specializing in data mining applied to online social networks and data privacy. Dr. Nettleton was born in England and lives in Barcelona, Spain since 1988.