WIM : an information mining model for the web.

• Autor(a) principal: Yates, Ricardo Baeza
• Data de Publicação: 2005
• Outros Autores: Pereira Junior, Álvaro Rodrigues, Ziviani, Nivio
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UFOP
• dARK ID: ark:/61566/0013000007x98
• Texto Completo: http://www.repositorio.ufop.br/handle/123456789/1679

This paper presents a model to mine information in ap-plications 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 di-rectly obtained from Web pages and links, as the title of a Web page or the start and end pages of a link. Logical ob-jects 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 ex-amples 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 cluster-ing nodes and for identifying related item sets.