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Data Mining For Database Developers - 1Rule

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Submitted on: 4/6/2002 4:57:16 PM
By: VISUAL-BASIC.NET  
Level: Intermediate
User Rating: By 3 Users
Compatibility:SQL Server 7.0, SQL Server 6.5 and earlier, Oracle, Other

Users have accessed this article 10308 times.
 
(About the author)
 
     A Data Mining application for Relational Databases (RDBMS) including Microsoft® Access®, Microsoft SQL Server® , Oracle® and Sybase ® databases.The attached articles in HTML and Microsoft Word gives a detailed step by step guide to the development of a Data Mining application. Interested programmers can download more freeData Mining Source Code from http://www.visual-basic-data-mining.net. Also included is a free complete implementation of a data mining algorithm in Microsoft Access 2000 for the Microsoft® SQL Server®, Microsoft® Access® and Relational Database communities.

This article has accompanying files
 
 
Terms of Agreement:   
By using this article, you agree to the following terms...   
1) You may use this article in your own programs (and may compile it into a program and distribute it in compiled format for languages that allow it) freely and with no charge.   
2) You MAY NOT redistribute this article (for example to a web site) without written permission from the original author. Failure to do so is a violation of copyright laws.   
3) You may link to this article from another website, but ONLY if it is not wrapped in a frame. 
4) You will abide by any additional copyright restrictions which the author may have placed in the article or article's description.
Data Mining for Database Developers - One Rule (1Rule)

Data Mining For Database Developers - One Rule (1Rule):

A Data Mining application for Relational Databases (RDBMS) including Microsoft® Access®, Microsoft SQL Server® , Oracle® and Sybase ® databases.

The attached articles in HTML and Microsoft Word gives a detailed step by step guide to the development of a Data Mining application. Interested programmers can download more freeData Mining Source Code from http://www.visual-basic-data-mining.net.
Also included is a free complete implementation of a data mining algorithm in Microsoft Access 2000 for the Microsoft® SQL Server®, Microsoft® Access® and Relational Database communities.

Benefit:
The Data Mining algorithm is fully. It uses the ActiveX Data Objects (ADO) provider for a relational database to access a data mining database. It fully implements by completely eliminating any database specific SQL syntax, stored procedures and queries. It needs only a simple SQL SELECT statement to access a relational database. The only part of the data mining application that changes is the SQL syntax used to select data from a specific table and relational database. Hence the data mining application is truly portable to any relational database where an ADO provider exists (most major database vendors have ADO providers for their databases).

If a database administrator (DBA) or programmer wants to port some of the application to a database server's SQL like T-SQL, it will really be the DBA or programmer's decision.

Another Benefit:
The data mining algorithm used is completely explained in pseudo code. Detailed step by step tutorials in these articles guide the programmer through the data mining process, data mining algorithm application and application development ! Also included is the sample data in Microsoft Access® and other file formats. In addition, detailed diagrams (graphic files) give a visual explanation of a specific data mining process, data mining algorithm and application implementation of the data mining algorithm.

Because of the size of the diagrams (graphics) the articles are contained in the attached zip file.
A complete file download including a more detailed Data Mining tutorial with complete application Source Code is freely available at http://www.visual-basic-data-mining.net.

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Terms of Agreement:   
By using this article, you agree to the following terms...   
1) You may use this article in your own programs (and may compile it into a program and distribute it in compiled format for languages that allow it) freely and with no charge.   
2) You MAY NOT redistribute this article (for example to a web site) without written permission from the original author. Failure to do so is a violation of copyright laws.   
3) You may link to this article from another website, but ONLY if it is not wrapped in a frame. 
4) You will abide by any additional copyright restrictions which the author may have placed in the article or article's description.


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Other User Comments
5/22/2002 9:03:36 AM:Youri
4637 people looked at your code without voting, it's a shame. Thumbs up from me
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5/23/2002 8:20:07 AM:Data Mining Consultant
Thanks Youri. I will be releasing a new version of this algorithm in less than a month's time.
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