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Titlebook: Intelligent Technologies for Information Analysis; Ning Zhong,Jiming Liu Book 2004 Springer-Verlag Berlin Heidelberg 2004 STATISTICA.Web I

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The MiningMart Approach to Knowledge Discovery in Databases and using a variety of stand-alone tools. The results are not properly documented and hardly re-usable. The MiningMart system presented in this chapter focuses on setting up and re-using best practice cases of preprocessing data stored in very large databases. A metadata model named M4 is used to d
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Evaluation Scheme for Exception Rule/Group Discoveryf rules/groups different from most of the rest, has been gaining increasing attention as a promising approach for discovering interesting patterns. We classify various exception rule/group discovery methods into those that employ domain knowledge and those that don’t, and give a brief survey. We the
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Discovery of Web Robot Sessions Based on Their Navigational Patterns. There are many reasons why it is important to identify visits by Web robots and distinguish them from other users. First of all, e-commerce retailers are particularly concerned about the unauthorized deployment of robots for gathering business intelligence at their Websites. In addition, Web robot
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Browsing Semi-Structured Texts on the Web Using Formal Concept Analysis FCA system must include additional mechanisms to discover the structure of input sources. Secondly, many online collections are large and dynamic, so a Web robot must be used to automatically extract data when it is required. These issues are addressed in this chapter, which reports a case study in
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