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AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 7 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
KBSE
2008
IEEE
15 years 8 months ago
Automated Aspect Recommendation through Clustering-Based Fan-in Analysis
Identifying code implementing a crosscutting concern (CCC) automatically can benefit the maintainability and evolvability of the application. Although many approaches have been p...
Danfeng Zhang, Yao Guo, Xiangqun Chen
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 2 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
15 years 7 months ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 1 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...