๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

A Practical Guide to Data Mining for Business and Industry

โœ Scribed by Andrea Ahlemeyer-Stubbe, Shirley Coleman


Publisher
Wiley
Year
2014
Tongue
English
Leaves
325
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


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.


๐Ÿ“œ SIMILAR VOLUMES


A Practical Guide to Data Mining for Bus
โœ Andrea Ahlemeyer-Stubbe, Shirley Coleman ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› Wiley ๐ŸŒ English

<p>Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. <i>Practical Data Mining for Business</i> presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The method

Applied Data Mining : Statistical Method
โœ Paolo Giudici ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐ŸŒ English

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and a