Data Mining

BY:
Arun Swami
Member of Technical Staff
Silicon Graphics Computer Systems
 

Table of Contents

Abstract
Introduction
   1.0 Technologies Related to Data Mining
   2.0 Data Warehouse
   3.0 Data Mining Examples
   4.0 Characteristics of Data Mining
   5.0 Platforms for the Data Warehouse and Data Mining
   6.0 Summary

Abstract
Introduction Technologies
Data Warehouse
Examples
Characteristics
Platforms
Summary

6.0 Summary

Data mining is critical to the enterprise that wishes to exploit operational and other available data to improve the quality of decision making and gain critical competitive advantage. Companies that do not employ data mining may find themselves increasingly vulnerable in highly-competitive marketplaces.

The data mining techniques themselves require significant I/O bandwidth, large main memories, a lot of computational power, and scalable parallelism. Silicon Graphics CHALLENGE servers meet all these requirements; using a price/performance metric, CHALLENGE is the platform of choice for data mining
the Open Systems market.

Here is what Silicon Graphics, Inc. has to offer to help your data mining efforts: Mining Your Vast Data Resources: Solutions for Focused Market Analysis

My Family and I | My Best Friends | My Senior Project | Gallery | Favorite Links

Contact Web Master click here: