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» Intelligent Methods in Virtual Databases
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PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
14 years 7 months ago
Skippy: a new snapshot indexing method for time travel in the storage manager
The storage manager of a general-purpose database system can retain consistent disk page level snapshots and run application programs "back-in-time" against long-lived p...
Ross Shaull, Liuba Shrira, Hao Xu
KDD
1997
ACM
130views Data Mining» more  KDD 1997»
13 years 11 months ago
Process-Based Database Support for the Early Indicator Method
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...
Christoph Breitner, Jörg Schlösser, R&uu...
IVA
2010
Springer
13 years 6 months ago
Using Virtual Humans to Bootstrap the Creation of Other Virtual Humans
Virtual human (VH) experiences are increasingly used for training interpersonal skills such as military leadership, classroom education, and doctor-patient interviews. These divers...
Brent Rossen, Juan Cendan, Benjamin Lok
CEC
2008
IEEE
14 years 2 months ago
Solution diversity in multi-objective optimization: A study in virtual reality
— Solution diversity in evolutionary multi-objective optimization is considered. Although the Pareto front is ubiquitously used for the multi-objective optimization, the method o...
Özer Ciftcioglu, Michael S. Bittermann