The Miner's Guide

The Miner's Guide
Author: Frederic Philip Mennell
Publisher:
Total Pages: 214
Release: 1909
Genre: Mineral industries
ISBN:

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.

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.