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ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
14 years 3 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 9 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
KDD
1997
ACM
146views Data Mining» more  KDD 1997»
14 years 1 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
JIPS
2010
154views more  JIPS 2010»
13 years 3 months ago
Mining Spatio-Temporal Patterns in Trajectory Data
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Juyoung Kang 0002, Hwan-Seung Yong
ATAL
2006
Springer
14 years 21 days ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer