MS SQL Server
  Home arrow MS SQL Server arrow Page 4 - Using Data Mining for Business Intelligenc...
ASP Free Forums 
.NET  
ASP  
ASP Code  
ASP.NET  
ASP.NET Code  
BrainDump  
C#  
Code Examples  
Database  
Database Code  
IIS  
Microsoft Access  
MS SQL Server  
Visual Basic.NET  
Windows Scripting  
Windows Security  
XML  
ASP Web Hosting  
ASP.NET Web Hosting 
Dedicated Servers 
Moblin 
JMSL Numerical Library 
Windows Web Hosting
 
IBM® developerWorks 
Sun Developer Network 
Weekly Newsletter
 
Developer Updates  
Free Website Content 
 RSS  Articles
 RSS  Forums
 RSS  All Feeds
Write For Us Get Paid 
Request Media Kit
Contact Us 
Site Map 
Privacy Policy 
Support 
 USERNAME
 
 PASSWORD
 
 
  >>> SIGN UP!  
  Lost Password? 
MS SQL SERVER

Using Data Mining for Business Intelligence
By: Jagadish Chaterjee
  • Search For More Articles!
  • Disclaimer
  • Author Terms
  • Rating: 5 stars5 stars5 stars5 stars5 stars / 20
    2005-01-24

    Table of Contents:
  • Using Data Mining for Business Intelligence
  • When did data mining begin?
  • How does data mining work?
  • Is Microsoft SQL Server helpful for data mining?

  • Rate this Article: Poor Best 
      ADD THIS ARTICLE TO:
      Del.ici.ous Digg
      Blink Simpy
      Google Spurl
      Y! MyWeb Furl
    Email Me Similar Content When Posted
    Add Developer Shed Article Feed To Your Site
    Email Article To Friend
    Print Version Of Article
    PDF Version Of Article
     
     
    ADVERTISEMENT


    Using Data Mining for Business Intelligence - Is Microsoft SQL Server helpful for data mining?


    (Page 4 of 4 )

    Yes, of course. SQL Server 2000 includes Analysis Services with data mining technology which examines data, in relational data warehouse or data mart star schemas, as well as SQL Server 2000 Analysis Services OLAP cubes to uncover areas of interest to business decision makers and other analysts. Housed within this new segment of Analysis Services are data mining algorithms which enable the creation and analysis of data mining models.

    OLAP Data Mining with SQL Server allows architects to reuse the results from data mining and incorporate the information into an OLAP Cube dimension for further analysis. Users can now browse and investigate data while finding the answers to questions that only data mining can answer. PivotTable Services support data mining through emulating a similar interface to that of OLAP pivot tables. In essence, users can utilize a specially designed Excel spreadsheet to interface with data mining services and run prediction queries against a data mining model, just as they do for multidimensional analysis of OLAP data cubes.

    In addition, the Decision Support Objects (DSO) library has been extended in order to accommodate direct programmatic access to the data mining functionality present within OLAP services, as well as continued programmatic access to the OLAP cube resources. DSO now includes the MiningModel object as well as other extended support objects. Coupled with the new OLE DB for Data Mining provider, organizations wishing to implement custom applications which provide predictive data mining data to meet business processes, or those organizations that wish to access data mining data for the purpose of creating an operational data mining application, can now do so using the DSO library.

    To learn how business intelligence can be injected into our applications using Microsoft platform, I suggest you point your browser to this link:  http://www.microsoft.com/sql/evaluation/bi/default.asp

    Not only Microsoft SQL Server 2000, but other great database products such as Oracle, Sybase, etc. also have special tools and add-ons to meet the requirements of data mining.

    Any comments are welcome at jag_chat@yahoo.com


    DISCLAIMER: The content provided in this article is not warranted or guaranteed by Developer Shed, Inc. The content provided is intended for entertainment and/or educational purposes in order to introduce to the reader key ideas, concepts, and/or product reviews. As such it is incumbent upon the reader to employ real-world tactics for security and implementation of best practices. We are not liable for any negative consequences that may result from implementing any information covered in our articles or tutorials. If this is a hardware review, it is not recommended to open and/or modify your hardware.

     

    MS SQL SERVER ARTICLES

    - Completing the Introduction to Transact-SQL
    - A Brief Introduction to Transact-SQL
    - Lookups and Blocking Bad Data
    - Field Validation Rules for Blocking Bad Data
    - Using Masks to Block Bad Data
    - Blocking Bad Data
    - Using @@ROWCOUNT and TABLE Variables for Dat...
    - How to Use Variables, IF and CASE in Databas...
    - Creating Important Aspects of Notification S...
    - Working wth Variables in Database Interactio...
    - Delving Deeper into Notification Services
    - Notification Services
    - Building a Multi-table Report with SQL 2005 ...
    - A Secure Way of Building Connection Strings
    - Transferring a Database Using the SSIS Desig...





    © 2003-2008 by Developer Shed. All rights reserved. DS Cluster 3 hosted by Hostway