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
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;
Conference_Titel :
Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
Conference_Location :
Hiroshima
Print_ISBN :
978-1-4799-4771-3
DOI :
10.1109/IWCIA.2014.6987729