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CIDM
2009
IEEE
15 years 6 months ago
Density-based clustering of polygons
– Clustering is an important task in spatial data mining and spatial analysis. We propose a clustering algorithm P-DBSCAN to cluster polygons in space. PDBSCAN is based on the we...
Deepti Joshi, Ashok Samal, Leen-Kiat Soh
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 5 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen
JWSR
2007
114views more  JWSR 2007»
14 years 11 months ago
Development of Distance Measures for Process Mining, Discovery and Integration
: Business processes continue to play an important role in today’s service-oriented enterprise computing systems. Mining, discovering, and integrating process-oriented services h...
Joonsoo Bae, Ling Liu, James Caverlee, Liang-Jie Z...
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 1 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
MINENET
2005
ACM
15 years 5 months ago
Experiences with a continuous network tracing infrastructure
One of the most pressing problems in network research is the lack of long-term trace data from ISPs. The Internet carries an enormous volume and variety of data; mining this data ...
Alefiya Hussain, Genevieve Bartlett, Yuri Pryadkin...