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» A Simple Abstraction for Data Modeling
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AI
2011
Springer
15 years 1 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
ECML
2006
Springer
15 years 10 months ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
ER
1998
Springer
115views Database» more  ER 1998»
15 years 10 months ago
Temporal Objects for Spatio-Temporal Data Models and a Comparison of Their Representations
Abstract: Currently, there are strong efforts to integrate spatial and temporal database technology into spatio-temporal database systems. This paper views the topic from a rather ...
Martin Erwig, Markus Schneider, Ralf Hartmut G&uum...
ICMCS
1995
IEEE
156views Multimedia» more  ICMCS 1995»
15 years 9 months ago
Spatio-Temporal Modeling of Video Data for On-Line Object-Oriented Query Processing
This paper presents a framework for data modeling ntic abstraction of image/video data. The framework is based on spatio-temporalinformation associated with salient objects in an ...
Young Francis Day, Serhan Dagtas, Mitsutoshi Iino,...
WASA
2009
Springer
127views Algorithms» more  WASA 2009»
16 years 26 days ago
Experimental Study on Secure Data Collection in Vehicular Sensor Networks
Abstract. In this paper, we show through a simple secure symmetric key based protocol design and its implementation the feasibility of secure data collection in a vehicular sensor ...
Harry Gao, Seth Utecht, Fengyuan Xu, Haodong Wang,...