WIM: an information mining model for the web

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorYates, Ricardo Baeza-
Autor(es): dc.creatorPereira Junior, Álvaro Rodrigues-
Autor(es): dc.creatorZiviani, Nivio-
Data de aceite: dc.date.accessioned2019-11-06T13:25:25Z-
Data de disponibilização: dc.date.available2019-11-06T13:25:25Z-
Data de envio: dc.date.issued2012-10-18-
Data de envio: dc.date.issued2012-10-18-
Data de envio: dc.date.issued2005-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/123456789/1679-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/555062-
Descrição: dc.descriptionThis 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.-
Idioma: dc.languageen-
Título: dc.titleWIM: an information mining model for the web-
Aparece nas coleções:Repositório Institucional - UFOP

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