A Practical Guide to Data Mining for Business and Industry

A Practical Guide to Data Mining for Business and Industry
Author: Andrea Ahlemeyer-Stubbe
Publisher: John Wiley & Sons
Total Pages: 323
Release: 2014-03-31
Genre: Mathematics
ISBN: 1118763378

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

Minerals and Mining

Minerals and Mining
Author: Per Vestergaard Pedersen
Publisher: Globe Law and Business Limited
Total Pages: 0
Release: 2012
Genre: Business & Economics
ISBN: 9781905783564

"Minerals and mining are key to the world economy. The mining and processing of minerals are major sources of income and employment in some states. Minerals are used to make goods, materials and energy which are essential to people and economies worldwide.

Predictive Data Mining

Predictive Data Mining
Author: Sholom M. Weiss
Publisher: Morgan Kaufmann
Total Pages: 244
Release: 1998
Genre: Computers
ISBN: 9781558604032

This book is the first technical guide to provide a complete, generalized road map for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.