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» Using Clustering Methods for Discovering Event Structures
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141
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ICDE
2012
IEEE
237views Database» more  ICDE 2012»
13 years 6 months ago
On Discovery of Traveling Companions from Streaming Trajectories
— The advance of object tracking technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory data stream. In this study, we investigate the pro...
Lu An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice...
368
Voted
ICDE
2003
IEEE
247views Database» more  ICDE 2003»
16 years 5 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010
160
Voted
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
15 years 8 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
122
Voted
TKDE
2002
127views more  TKDE 2002»
15 years 3 months ago
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach
A join-index is a data structure used for processing join queries in databases. Join-indices use precomputation techniques to speed up online query processing and are useful for da...
Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Siva...
125
Voted
SMC
2007
IEEE
110views Control Systems» more  SMC 2007»
15 years 10 months ago
A validity index based on cluster symmetry
— An important consideration in clustering is the determination of the correct number of clusters and the appropriate partitioning of a given data set. In this paper, a newly dev...
Sriparna Saha, Sanghamitra Bandyopadhyay