Advanced Data Mining Techniques

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The World Wide Web is a loosely coupled data store that could be used as a central repository if only the data on each website were stored in accordance with some common semantics. However, it is possible to mine the data from diverse websites and introduce semantics to it. The possibilities for data mining from a huge collection of html documents across websites express a vast, rich range of information. Unfortunately this information is usually encoded in a format that is difficult to decipher and extract. The plan behind this article is to explore a semi-automated data mining system called Crawler that can be used to create and maintain web based content through interactive mining operations in a hierarchical arrangement. Firstly an overview is presented, both from business and technological viewpoints and it describes the exciting possibilities that this approach offers. And then, a prototype is shown of an Online Comparison Shopping Store.

  • Cost: $20.00
  • Pages: 52
  • Edition: e-book (Acrobat Reader)
  • ISBN: B00005UJXF

Resource Specification

Category:

ASP : Books

Title / Program Name:

Advanced Data Mining Techniques

URL:

http://www.amazon.com/exec/obidos/ASIN/B00005UJXF/bigwebmasters-20

Screenshots URL:

http://www.bigwebmaster.com/screenshots/B00005UJXF.jpg

Released Date:

December 22, 2000

Cost:

$20.00

List Price:

$20.00

Pages:

52

Edition:

e-book (Acrobat Reader)

ISBN:

B00005UJXF

Publisher:

Wrox

Author:

Subodh Shakya

Keywords:

asp semantics, programming semantics, data mining semantics, crawler semantics, robot semantics, asp deciphering, asp extraction

Summary:

Using Visual Basic 6.0, ASP, XML, MSHTML and MSXML

Description:

The World Wide Web is a loosely coupled data store that could be used as a central repository if only the data on each website were stored in accordance with some common semantics. However, it is possible to mine the data from diverse websites and introduce semantics to it. The possibilities for data mining from a huge collection of html documents across websites express a vast, rich range of information. Unfortunately this information is usually encoded in a format that is difficult to decipher and extract. The plan behind this article is to explore a semi-automated data mining system called Crawler that can be used to create and maintain web based content through interactive mining operations in a hierarchical arrangement. Firstly an overview is presented, both from business and technological viewpoints and it describes the exciting possibilities that this approach offers. And then, a prototype is shown of an Online Comparison Shopping Store.

Ratings Breakdown

Number of Votes:

3

Resource Rating:

7.67

Highest Rating:

10

Lowest Rating:

3

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