Title :
A new document clustering algorithm based on association rule
Author :
Song, Jiang-Chun ; Shen, Jun-Yi ; Song, Qing-Bao
Author_Institution :
Dept. of Comput. Sci. & Technol., Xi´´an Jiaotong Univ., China
Abstract :
Owing to the widely application in the fields of information retrieval, document analysis and information extraction, document cluster analysis has been concerned broadly, and gotten a great deal of research issues simultaneously. It is one of essential theme in document mining. Based on vector space model (VSM), This work presents a new document cluster algorithm based on association rule, and discusses the efficiency, the scalability and time complexity of the algorithm.
Keywords :
data mining; document handling; information retrieval; association rule; document analysis; document clustering algorithm; document mining; information extraction; information retrieval; vector space model; Application software; Association rules; Clustering algorithms; Computer science; Data mining; Databases; Information analysis; Information retrieval; Machine learning; Machine learning algorithms;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382395
