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» Graph Mining based on a Data Partitioning Approach
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147
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TSP
2011
197views more  TSP 2011»
14 years 10 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
168
Voted
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 5 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
RSFDGRC
2005
Springer
187views Data Mining» more  RSFDGRC 2005»
15 years 9 months ago
Handling Missing Attribute Values in Preterm Birth Data Sets
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold ...
132
Voted
SDM
2008
SIAM
168views Data Mining» more  SDM 2008»
15 years 4 months ago
Semi-Supervised Clustering via Matrix Factorization
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
Fei Wang, Tao Li, Changshui Zhang
136
Voted
EUROMICRO
1998
IEEE
15 years 7 months ago
Process Scheduling for Performance Estimation and Synthesis of Hardware/Software Systems
The paper presents an approach to process scheduling for embedded systems. Target architectures consist of several processors and ASICs connected by shared busses. We have develop...
Petru Eles, Krzysztof Kuchcinski, Zebo Peng, Alexa...