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» Challenging issues in iterative intelligent medical search
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VLDB
2007
ACM
179views Database» more  VLDB 2007»
15 years 9 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
CP
2009
Springer
15 years 10 months ago
Filtering Numerical CSPs Using Well-Constrained Subsystems
When interval methods handle systems of equations over the reals, two main types of filtering/contraction algorithms are used to reduce the search space. When the system is well-co...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu
CP
2009
Springer
15 years 10 months ago
Exploiting Problem Structure for Solution Counting
This paper deals with the challenging problem of counting the number of solutions of a CSP, denoted #CSP. Recent progress have been made using search methods, such as BTD [15], whi...
Aurélie Favier, Philippe Jégou, Simo...
BMCBI
2011
14 years 4 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
ICTAI
2002
IEEE
15 years 2 months ago
On Temporal Planning as CSP
(Appears as a regular paper in the proceedings of IEEE International Conference on Tools with Artificial Intelligence (ICTAI), IEEE Computer Society, Washington D.C. Nov. 2002, p...
Amol Dattatraya Mali