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Text Mining


Posted by: project topics
Created at: Thursday 04th of August 2011 05:12:05 AM
Last Edited Or Replied at :Thursday 09th of February 2012 04:38:06 AM
Text Mining , text analysis software, text mining application , open source text mining, text mining open source , text mining software, text mining tool , text mining techniques, text mining application programming , text data mining, text mining algorithms , gate text mining, text mining tutorial , text mining tools, text mining applications , Text, Mining , seminar topics in text mining, seminar on news text mining algorithms , text mining, papers foe text mining , papers of text mining, learning to identify emotions in text , text mining finding right documents from large collection of unstructured documents, seminar on text mining , project idea using text mining, text mining project ideas , seminar report on text mining, text mining ieee seminar paper , text mining seminar, fscore ,
les the creation of dynamic hierarchical document clustering based on full text of articles. A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, each document often contains a small fraction of words in the vocabulary. These features require special handlings. Another requirement is hierarchical clustering where clustered documents can be browsed according to the increasing specificity of topics. In this system, we propose to use the notion of frequent itemsets, which ..................[:=> Show Contents <=:]



Text Mining


Posted by: project topics
Created at: Thursday 04th of August 2011 05:12:05 AM
Last Edited Or Replied at :Thursday 09th of February 2012 04:38:06 AM
Text Mining, text analysis software , text mining application, open source text mining , text mining open source, text mining software , text mining tool, text mining techniques , text mining application programming, text data mining , text mining algorithms, gate text mining , text mining tutorial, text mining tools , text mining applications, Text , Mining, seminar topics in text mining , seminar on news text mining algorithms, text mining , papers foe text mining, papers of text mining , learning to identify emotions in text, text mining finding right documents from large collection of unstructured documents , seminar on text mining, project idea using text mining , text mining project ideas, seminar report on text mining , text mining ieee seminar paper, text mining seminar , fscore,
words. On the other hand, each document often contains a small fraction of words in the vocabulary. These features require special handlings. Another requirement is hierarchical clustering where clustered documents can be browsed according to the increasing specificity of topics. In this system, we propose to use the notion of frequent itemsets, which comes from association rule mining, for document clustering. The intuition of our clustering criterion is that each cluster is identified by some common words, called frequent itemsets, for the documents in the cluster. Frequent itemsets are also..................[:=> Show Contents <=:]



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