1999 | OriginalPaper | Chapter
Data Mining for Robust Business Intelligence Solutions
Author : Jan Mrazek
Published in: Principles of Data Mining and Knowledge Discovery
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Data Mining has quickly matured out of isolated, small scale, PC based, single algorithm techniques to robust analytical solutions which utilize a combination of various artificial intelligence algorithms, massively parallel technology, direct both-way access to relational databases and open systems with published Application Programming Interfaces. For an organization, this presents an opening of new opportunities, but it also generates a number of integration challenges.This tutorial will introduce Data Mining from the perspective of a large organization. It will describe why Data Mining is essential for new business development and will present its enablers and drivers. Typical historically diversified organizational structure of Business Intelligence competency in a large organization will be introduced and the challenges posed to a large scale implementation of Data Mining will be portrayed.