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» A Graph Based Data Model for Graphics Interpretation
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135
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PVLDB
2008
108views more  PVLDB 2008»
15 years 2 months ago
Taming verification hardness: an efficient algorithm for testing subgraph isomorphism
Graphs are widely used to model complicated data semantics in many applications. In this paper, we aim to develop efficient techniques to retrieve graphs, containing a given query...
Haichuan Shang, Ying Zhang, Xuemin Lin, Jeffrey Xu...
144
Voted
UM
2010
Springer
15 years 7 months ago
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
Abstract. Recent progress has been made by using sensors with Intelligent Tutoring Systems in classrooms in order to predict the affective state of students users. If tutors are a...
David G. Cooper, Kasia Muldner, Ivon Arroyo, Bever...
137
Voted
AI
2011
Springer
14 years 10 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...
157
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SIGMOD
2011
ACM
297views Database» more  SIGMOD 2011»
14 years 6 months ago
Graph cube: on warehousing and OLAP multidimensional networks
We consider extending decision support facilities toward large sophisticated networks, upon which multidimensional attributes are associated with network entities, thereby forming...
Peixiang Zhao, Xiaolei Li, Dong Xin, Jiawei Han
115
Voted
ESANN
2008
15 years 5 months ago
Survival SVM: a practical scalable algorithm
This work advances the Support Vector Machine (SVM) based approach for predictive modelling of failure time data as proposed in [1]. The main results concern a drastic reduction in...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...