DocumentCode
3425094
Title
Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm
Author
Amarasiri, Rasika ; Ceddia, Jason ; Alahakoon, Damminda
Author_Institution
Sch. of Bus. Syst., Monash Univ., Victoria, Vic., Australia
fYear
2005
fDate
15-17 Dec. 2005
Abstract
Text mining has emerged as a different stream in data mining because of the unstructured nature associated with free text. Many algorithms have been developed to assist in text mining. This paper presents the use of text mining based on a novel high dimensional clustering algorithm that leads to the exploratory data mining on data associated with the text. Experimental results of analyzing a real-world text data set and associated data are also presented.
Keywords
data mining; pattern clustering; text analysis; data mining; high dimensional clustering; text mining; Clustering algorithms; Data analysis; Data mining; Databases; Frequency conversion; Information retrieval; Machine learning algorithms; Organizing; Software algorithms; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on
Print_ISBN
0-7695-2495-8
Type
conf
DOI
10.1109/ICMLA.2005.29
Filename
1607461
Link To Document