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An approach to identification of the phishing target of a given (suspicious) webpage is proposed by clustering the webpage set consisting of its all associated webpages and the given webpage itself. We first find its associated webpages, and then explore their relationships to the given webpage as their features for clustering. Such relationships include link relationship, ranking relationship, text...
This paper introduces a VIPS (Vision-based Page Segmentation) based Web mining method which aims to user intents based retrieval. It firstly grasps information from Web by making use of large search engines such as Baidu and so on, and then clusters the web pages basing on the intention-related features of Web text. The main algorithm is described in detail and experiments are designed to grasp the...
TexPlorer is an integrated system for exploring and analyzing large amounts of text documents. The data processing modules of TexPlorer consist of named entity extraction, entity relation extraction, hierarchical clustering, and text summarization tools. Using a timeline tool, tree-view, table-view, and concept maps, TexPlorer provides an analytical interface for exploring a set of text documents...
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