Data Mining on the Web

This approach can be used to sort incoming documents into predefined categories. Companies use this approach to build automatic site indices for visitors. News and portal sites use this to reduce the cost of categorizing and selecting news from syndicators. Some systems also provide automatic summaries of key points, and cross-reference documents to related material.

数据挖掘交友

Knowledge management systems can be used to personalize online publications. Imagine a pattern matcher for the "what Dan Greening likes" concept. This system would find new documents that contain words and context also contained in articles that I've read before. Products in this area include Autonomy and HNC SelectResponse. (Also see " Mining Camps".)

数据挖掘研究院

Knowledge management systems can assist in creating automatic responses to help requests. For example, inbound requests to a customer-support email address can be categorized, and an automatic response can be sent from a library of FAQs. Vendors in this area include Kana and eGain. (See the box " Knowledge Management" in the November 1999 article "You Asked For It: Solving the Customer Support Dilemma.")

One of the most interesting applications in this area is Abuzz Beehive, which creates a "knowledge network" within a community of experts. If you send a question to Beehive, it first tries to find a good answer in its archive. If it doesn't have a good answer, it redirects the question to an expert it thinks can properly respond. If the expert does respond, it squirrels the response away in case the question is asked again. In this way, it builds up a permanent, adapting knowledge base.

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