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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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