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Development of Efficient Decision Support System Using Web Data Mining
Abstract
The management of web sites imposes a constant demand for new information and timely updates due to the increase of services and content that site owners wish to make available to their users, which in turn is motivated by the complexity and diversity of needs and behaviours of the users. Such constant labour intensive effort implies very high financial and personnel costs. The growth of World Wide Web and technologies has made business functions to be executed fast and easier. E-commerce has provided a cost efficient and effective way of doing business. Web mining is usually defined as the use of data mining techniques to automatically discover and extract information from web documents and services. Also, web data mining is commonly categorized into three areas: web content mining that describes the discovery of useful information from content, web structure mining that analyses the topology of web sites, and web usage mining that tries to make sense of the data generated by the navigation behaviour and user profile.
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