2024-03-29T00:26:56Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00008928
2023-01-16T03:51:35Z
435:671:672
A Query Language and Its Processing for Time-Series Document Clusters
Khy, Sophoin
25075
Ishikawa, Yoshiharu
25076
Kitagawa, Hiroyuki
25077
cluster graph
cluster transition
clustering result
graphquery
query language
query processing
transition pattern
Document clustering methods for time-series documents produce a sequence of snapshots of clustering results over time. Analyzing the contents (topics) and trends in a long sequence of clustering snapshots is hard and requires efforts since there are too many number of clusters; a user may need to access every cluster or read every document contained in each cluster. In this paper, we propose a framework to find clusters of user interest and change patterns called transition patterns involving the clusters. A cluster in a clustering result may persist in another cluster, branch into more than one cluster, merge with other clusters to form one cluster, or disappear in the adjacent clustering result. This research aims at providing users facilities to retrieve specific transition patterns in the clustering results. For this purpose, we propose a query language for time-series document clustering results and an approach to query processing. The first experimental results on TDT2 corpus clustering results are presented.
journal article
Springer-Verlag
2008-12
application/pdf
Lecture Notes in Computer Science
5362
82
92
http://hdl.handle.net/2237/10689
03029743
https://nagoya.repo.nii.ac.jp/record/8928/files/2008-icadl-khy.pdf
eng
The original publication is available at www.springerlink.com.