Title :
The Research of K-means Clustering Algorithm Based on Association Rules
Author :
Jun, Wang ; Zheng-Zheng, OuYang
Author_Institution :
Modern Educ. Technol. Center, Wuhan Polytech. Univ., Wuhan, China
Abstract :
With the continued expansion of network resources and the rapid change of old and new information, the traditional information retrieval is difficult to adapt to the need of management of mass electronic data. It is a very important aspect of how to locate the information you want conveniently and accurately and improve the efficiency of search engines.
Keywords :
Algorithm design and analysis; Association rules; Clustering algorithms; Computer network management; Computer networks; Data engineering; Data mining; Electronic mail; Internet; Search engines; Apriori; Clustering; Data Mining; K-means;
Conference_Titel :
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-0-7695-3972-0
Electronic_ISBN :
978-1-4244-5924-7
DOI :
10.1109/CESCE.2010.26
