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» Discovering Structural Patterns in Telecommunications Data
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PR
2006
78views more  PR 2006»
13 years 5 months ago
Similarity-based analysis for large networks of ultra-low resolution sensors
By analyzing the similarities between bit streams coming from a network of motion detectors, we can recover the network geometry and discover structure in the human behavior being...
Christopher Richard Wren, David C. Minnen, Sriniva...
GEOINFO
2003
13 years 6 months ago
Modelling Spatial Relations by Generalized Proximity Matrices
One of the main challenges for the development of spatial information theory is the formalization of the concepts of space and spatial relations. Currently, most spatial data struc...
Ana Paula Dutra de Aguiar, Gilberto Câmara, ...
BMCBI
2007
141views more  BMCBI 2007»
13 years 5 months ago
HeliCis: a DNA motif discovery tool for colocalized motif pairs with periodic spacing
Background: Correct temporal and spatial gene expression during metazoan development relies on combinatorial interactions between different transcription factors. As a consequence...
Erik Larsson, Per Lindahl, Petter Mostad
MCS
2007
Springer
13 years 11 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
WWW
2010
ACM
14 years 10 days ago
Entity relation discovery from web tables and links
The World-Wide Web consists not only of a huge number of unstructured texts, but also a vast amount of valuable structured data. Web tables [2] are a typical type of structured in...
Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han,...