Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Recent Advances In Data Mining Of Enterprise Data: Algorithms And Applications, Hardback Book

Recent Advances In Data Mining Of Enterprise Data: Algorithms And Applications Hardback

Part of the Series On Computers And Operations Research series

Hardback

Description

The main goal of the new field of data mining is the analysis of large and complex datasets.

Some very important datasets may be derived from business and industrial activities.

This kind of data is known as “enterprise data”. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit.

Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making.

Information

Save 0%

£260.00

£259.05

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information