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DATAMINE
2010
175views more  DATAMINE 2010»
15 years 6 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
INFFUS
2006
103views more  INFFUS 2006»
15 years 6 months ago
Information fusion approaches to the automatic pronunciation of print by analogy
Automatic pronunciation of words from their spelling alone is a hard computational problem, especially for languages like English and French where there is only a partially consis...
Robert I. Damper, Yannick Marchand
TFS
2011
264views Education» more  TFS 2011»
15 years 1 months ago
Information Granularity in Fuzzy Binary GrC Model
—Zadeh’s seminal work in theory of fuzzy-information3 granulation in human reasoning is inspired by the ways in which4 humans granulate information and reason with it. This has...
Yuhua Qian, Jiye Liang, W.-z. Z. Wu, Chuangyin Dan...
PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
16 years 26 days ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
162
Voted
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
15 years 11 months ago
Information dissemination in networks via linear iterative strategies over finite fields
— Given an arbitrary network of interconnected nodes, each with an initial value from a discrete set, we consider the problem of distributively disseminating these initial values...
Shreyas Sundaram, Christoforos N. Hadjicostis