Automated Identification Of Web Communities For Business Intelligence Analysis
- Topics:
- Business Intelligence
- Tags:
- Business Intelligence,
- University Of Hong Kong,
- Tools & Techniques,
- Software,
- Pricing,
- Marketing,
- Management,
- Enterprise Software,
- Databases,
- Data Management,
- ...
- Source:
- University of Hong Kong
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Overview: Analysts often search the Web for business intelligence using traditional search engines which provide keyword-based search. Nowadays, it has been suggested that the incoming links, or backlinks, of a company's Web site can provide useful information about the company's "Web communities". Analysis of these communities can provide useful signals for a company or information about its stakeholder groups, but the manual analysis process can be very time-consuming for business analysts and consultants. In this paper, we report the design and evaluation of a tool called Redips that integrates automatic backlink meta-searching and text mining techniques to facilitate users in identifying such cyber communities on the Web for business intelligence purposes.
(Is this item miscategorized? Does it need more tags? Let us know.)
Format: PDF | Size: 271KB | Date: Oct 2006 | Pages: 12
