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» A Simple Abstraction for Data Modeling
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164
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AI
2011
Springer
15 years 19 days 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...
156
Voted
ECML
2006
Springer
15 years 9 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 9 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 6 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,...