DocumentCode
1768308
Title
Proposal of interactive document clustering system based on coordinated multiple views
Author
Tonegawa, Takuma ; Takama, Yasufumi
Author_Institution
Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
fYear
2014
fDate
7-8 Nov. 2014
Firstpage
19
Lastpage
22
Abstract
This paper proposes an interactive document clustering system based on coordinated multiple views (CMV). Recently, the amount of documents has become extremely large, which makes it difficult for a user to under-stand relationship between documents and topics mentioned in a set of documents. In order to support a user, interactive clustering is a promising approach. When designing an interactive clustering system, it should be considered that a user has to examine clustering result from various levels such as clusters, documents, and words. The proposed system divides documents into four levels and displays each level in parallel with different views. By designing coordination among those views, a user can understand document information from various levels and perform interactive clustering efficiently.
Keywords
data visualisation; document handling; interactive systems; pattern clustering; CMV; coordinated multiple views; interactive document clustering system; Artificial intelligence; Clustering algorithms; Data visualization; Information retrieval; Prototypes; Text mining; coordinated multiple views (CMV); interactive document clustering; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
Conference_Location
Hiroshima
ISSN
1883-3977
Print_ISBN
978-1-4799-4771-3
Type
conf
DOI
10.1109/IWCIA.2014.6987729
Filename
6987729
Link To Document