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» Multidimensional Data Modeling for Complex Data
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CCE
2005
15 years 6 months ago
Monitoring process transitions by Kalman filtering and time-series segmentation
The analysis of historical process data of technological systems plays important role in process monitoring, modelling and control. Time-series segmentation algorithms are often u...
Balazs Feil, János Abonyi, Sandor Z. N&eacu...
PVLDB
2010
104views more  PVLDB 2010»
15 years 5 months ago
MCDB-R: Risk Analysis in the Database
Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
JMLR
2008
127views more  JMLR 2008»
15 years 6 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King
APVIS
2009
15 years 7 months ago
Toward effective insight management in visual analytics systems
Although significant progress has been made toward effective insight discovery in visual sense making approaches, there is a lack of effective and efficient approaches to manage t...
Yang Chen, Jing Yang, William Ribarsky
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
16 years 23 days ago
Transforming Semi-Honest Protocols to Ensure Accountability
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. This is especially important in the field of privacy...
Wei Jiang, Chris Clifton