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Content Provider | IEEE Xplore Digital Library |
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Author | Baeza-Yates, R. Pereira Jr.,A.R. Ziviani, N. |
Copyright Year | 2005 |
Description | Author affiliation: CS Dept., Chile Univ., Santiago, Chile (Baeza-Yates, R.) |
Abstract | This paper presents a model to mine information in applications involving Web and graph analysis, referred to as WIM - Web information mining - model. We demonstrate the model characteristics using a Web warehouse. The Web data in the warehouse is modeled as a graph, where nodes represent Web pages and edges represent hyperlinks. In the model, objects are always sets of nodes and belong to one class. We have physical objects containing attributes directly obtained from Web pages and links, as the title of a Web page or the start and end pages of a link. Logical objects can be created by performing predefined operations on any existing object. In this paper we present the model components, propose a set of eleven operators and give examples of views. A view is a sequence of operations on objects, and it represents a way to mine information in the graph. As practical examples, we present views for clustering nodes and for identifying related item sets. |
File Size | 610830 |
File Format | |
ISBN | 0769524710 |
DOI | 10.1109/LAWEB.2005.50 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-10-31 |
Publisher Place | Argentina |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computer science Object oriented modeling Web pages Web mining Multimedia databases Data warehouses Information retrieval Application software Web sites Information analysis |
Content Type | Text |
Resource Type | Article |
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