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Suffix Tree Similarity for Document Clustering
IP Title
Suffix Tree Similarity for Document Clustering
Summary
This novel technology aims to support internet knowledge collaboration by improving the efficiency of data mining in web-based documents. Clustering techniques generally rely on a data representation model, a similarity measure, a clustering model and a clustering algorithm. Combining the sequence order of the words in a document in a suffix tree model and the term weighting scheme for effective quality measurement, the new suffix tree similarity measure can generate excellent results in clustering algorithms.
Technology Application
•Knowledge collaboration
•Data mining
Application Date
06/05/2009
ID No.
12/436,722
Country/Region
Hong Kong
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