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Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on most major search engines. The NorthernLight search engine organizes its output(More)
Conventional document retrieval systems (e.g., Alta Vista) return long lists of ranked documents in response to user queries. Recently, document clustering has been put forth as an alternative method of organizing the results of a retrieval 6]. A person browsing the clusters can discover patterns that would be overlooked in the traditional ranked-list(More)
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on KDD has been concerned with structured databases, there has been little work on handling the huge amount of information that is available only in unstructured textual form.(More)
Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on the major search engines. The paper articulates the unique requirements of Web(More)
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that provide knowledge about this domain. Additionally, the derived patterns can be used to browse the collection. TextVis takes a multi-strategy approach to text mining, and enables(More)
In Today’s world, with the increased use of internet the large volume of data is stored on World Wide Web. To use this large data the different search engines are provided. But the accuracy of the data is again based on the appropriate search query submitted by the user to search engine. Depending on the search query the search engine retrieves the massive(More)