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203views
15 years 21 days ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...
111
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DKE
2007
105views more  DKE 2007»
15 years 17 days ago
On compressing frequent patterns
A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent patterns with a tightness m...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 12 days ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
105
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IJSR
2010
107views more  IJSR 2010»
14 years 11 months ago
Multi-model Hypothesis Group Tracking and Group Size Estimation
Abstract— People in densely populated environments typically form groups that split and merge. In this paper we track groups of people so as to reflect this formation process an...
Boris Lau, Kai Oliver Arras, Wolfram Burgard
SMI
2010
IEEE
188views Image Analysis» more  SMI 2010»
14 years 11 months ago
Sharp Feature Detection in Point Clouds
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Christopher Weber, Stefanie Hahmann, Hans Hagen