Suffix Tree Similarity for Document Clustering
- 标题
- Suffix Tree Similarity for Document Clustering
- 总结
-
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.
- 技术应用
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•Knowledge collaboration
•Data mining
- 申请日期
- 06/05/2009
- ID号码
- 12/436,722
- 国家/地区
- 香港
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