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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 6 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 4 months ago
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...
AUSDM
2007
Springer
64views Data Mining» more  AUSDM 2007»
16 years 14 days ago
Reflection on Development and Delivery of a Data Mining Unit
Educators developing data mining courses face a difficult task of designing curricula that are adaptable, have solid foundations, and are tailored to students from different acade...
Bozena Stewart
BIS
2010
171views Business» more  BIS 2010»
15 years 7 months ago
On Integrating Data Mining into Business Processes
Abstract. Integrating data mining into business processes becomes crucial for business today. Modern business process management frameworks provide great support for flexible desig...
Dennis Wegener, Stefan Rüping
DAGSTUHL
2003
15 years 7 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen