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» On Multiple Query Optimization in Data Mining
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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
SIGMOD
1996
ACM
120views Database» more  SIGMOD 1996»
13 years 11 months ago
Query Execution Techniques for Caching Expensive Methods
Object-Relational and Object-Oriented DBMSs allow users to invoke time-consuming ("expensive") methods in their queries. When queries containing these expensive methods a...
Joseph M. Hellerstein, Jeffrey F. Naughton
EDBT
2004
ACM
131views Database» more  EDBT 2004»
14 years 7 months ago
Declustering Two-Dimensional Datasets over MEMS-Based Storage
Due to the large difference between seek time and transfer time in current disk technology, it is advantageous to perform large I/O using a single sequential access rather than mu...
Hailing Yu, Divyakant Agrawal, Amr El Abbadi
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 1 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 5 days ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...