Using Data Mining and Web Research for Business Intelligence
Posted On Friday, September 17, 2010 at at 3:20 AM by web researchThere are many challenges if a business has to use data mining efficiently for the development of Web business intelligence and Market research. Popular search engines like Google, Yahoo and Bing uses index-based crawlers to crawl, index and store millions of web documents available on the internet. When a user enters specific search query it renders relevant web pages containing the keyword. These search engines also provide phrase and exact match options to quickly locate relevant web pages.
Since search engines provide hundreds of thousands of documents of which many are irrelevant resulting in waste of time. This huge number of pages may contain only poor-quality information and have keywords that implicitly relate to the topic.
Just for the instant the keyword cad design may turn up many documents related to other design industries, yet fail to discover web pages on design methods, mathematical analysis or computer learning.
Above challenges has forced researchers to incorporate data mining with search engine results to improve the quality of web searches. For this one commonly used technique is use of keyword synonyms. By promoting few synonyms in search queries index-based search engines can perform a simultaneous search that will provide a larger set of web pages than the search for the broad keyword. The search engine then can obtain the set of relevant web pages to select a niche set of highly relevant information to render to the user.
When we analyze web’s hyperlink architecture for a keyword or topic we assume the user would like to have documents that are highly relevant and of high quality. However, the secret of quality and authority lies in web page linkages. Since link structure of a website possesses high quality semantic traces to a document’s topic, it can help achieve high accuracy if used in appropriate way.
Sometimes a hyperlink may contain irrelevant topics resulting in less accuracy. For example, the company homepage may have link to its partner having interest in totally different vertical. Research has shown that integrating robust statistical models with data mining services can considerably improve Web document accuracy.
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