A Mining Technique For Web Data Using Clustering

Ms. Chhaya M.Meshram; Prof. Rahila Sheikh

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A Mining Technique For Web Data Using Clustering

机译：使用集群的Web数据挖掘技术

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— Web text mining is an important branch in the data mining. Text mining is the process of searching large volumes of documents from certain keywords or key phrases. An extension of text mining is web mining. Web mining is an exciting new field that integrates data and text mining within a website. It enhances the web site with intelligent behavior, such as suggesting related links or recommending new products to the consumer. One of tbe data mining activities which involve extracting meaningful new information from the data is classification & clustering technique. Clustering enables one to discover hidden similarity and key concepts. Any clustering technique relies on concepts such as a data representation model, a similarity measure, a cluster model, a clustering algorithm. The classification technique is a kind of data analysis form, which can be used to gather and describe important data set. This method is used to estimate the Categorical Label of data object. The objective of this paper is to provide a new Web Text Mining Model which include query directed web page clustering algorithm & vector space model.

机译：— Web文本挖掘是数据挖掘中的重要分支。文本挖掘是从某些关键字或关键短语搜索大量文档的过程。文本挖掘的扩展是Web挖掘。 Web挖掘是一个令人兴奋的新领域，它将网站内的数据和文本挖掘集成在一起。它以明智的行为增强了网站的功能，例如建议相关链接或向消费者推荐新产品。涉及从数据中提取有意义的新信息的数据挖掘活动之一是分类和聚类技术。群集使人们能够发现隐藏的相似性和关键概念。任何聚类技术都依赖于诸如数据表示模型，相似性度量，聚类模型，聚类算法之类的概念。分类技术是一种数据分析形式，可用于收集和描述重要数据集。此方法用于估计数据对象的分类标签。本文的目的是提供一种新的Web文本挖掘模型，该模型包括基于查询的网页聚类算法和向量空间模型。

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《International Journal of Computer Trends and Technology》 |2011年第3期|共页
作者
Ms. Chhaya M.Meshram; Prof. Rahila Sheikh;
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中图分类计算技术、计算机技术;
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4. Using SOM to Clustering of Web Sessions Extracted by Techniques of Web Usage Mining [C] . Fabio A. Procopio de Paiva, Jose Alfredo F. Costa International conference on intelligent data engineering and automated learning . 2012

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A Mining Technique For Web Data Using Clustering

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