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» Techniques of Cluster Algorithms in Data Mining
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GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 7 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
JSS
2007
88views more  JSS 2007»
15 years 6 months ago
SQUIRE: Sequential pattern mining with quantities
Discovering sequential patterns is an important problem for many applications. Existing algorithms find qualitative sequential patterns in the sense that only items are included ...
Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok ...
ECMDAFA
2009
Springer
138views Hardware» more  ECMDAFA 2009»
16 years 1 months ago
A Pattern Mining Approach Using QVT
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibili...
Jens Kübler, Thomas Goldschmidt
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 10 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
ICANNGA
2009
Springer
133views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
Visualizing Time Series State Changes with Prototype Based Clustering
Modern process and condition monitoring systems produce a huge amount of data which is hard to analyze manually. Previous analyzing techniques disregard time information and concen...
Markus Pylvänen, Sami Äyrämö, ...