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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 2 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
CSCW
2004
ACM
14 years 3 months ago
Grouping in collaborative graphical editors
Often collaborative graphical systems lag behind well accepted single-user applications in terms of features supported. The frequently used operations of group/ungroup offered by ...
Claudia-Lavinia Ignat, Moira C. Norrie
ICCS
2004
Springer
14 years 3 months ago
Graphical and Computational Representation of Groups
An important part of the computer science is focused on the links that can be established between group theory and graph theory. Cayley graphs can establish such a link but meet so...
Alain Bretto, Luc Gillibert
CRYPTO
2005
Springer
127views Cryptology» more  CRYPTO 2005»
14 years 3 months ago
Black-Box Secret Sharing from Primitive Sets in Algebraic Number Fields
A black-box secret sharing scheme (BBSSS) for a given access structure works in exactly the same way over any finite Abelian group, as it only requires black-box access to group o...
Ronald Cramer, Serge Fehr, Martijn Stam
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 7 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar