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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 3 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
LREC
2010
166views Education» more  LREC 2010»
13 years 11 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
SIGCSE
1996
ACM
163views Education» more  SIGCSE 1996»
14 years 1 months ago
Database theory in practice: learning from cooperative group projects
lhis paper describes the use of cooperative group learning concepts in support of an undergraduate database mrtnagement course that emphasizes the theoretical and practical aspect...
Suzanne W. Dietrich, Susan Darling Urban
ESOP
2011
Springer
13 years 1 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
AINA
2008
IEEE
14 years 4 months ago
Wireless Sensor Network for Localized Maritime Monitoring
In this paper, we propose a novel routing algorithm for maritime monitoring of short term events where large area monitoring relies on small buoys drifting along with local curren...
Pedro N. E. S. Barbosa, Neil M. White, Nick R. Har...