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KDD
2002
ACM
112views Data Mining» more  KDD 2002»
14 years 8 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
SIGMOD
2005
ACM
127views Database» more  SIGMOD 2005»
14 years 7 months ago
Fossilized Index: The Linchpin of Trustworthy Non-Alterable Electronic Records
As critical records are increasingly stored in electronic form, which tends to make for easy destruction and clandestine modification, it is imperative that they be properly manag...
Qingbo Zhu, Windsor W. Hsu
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 4 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
EUROSYS
2008
ACM
14 years 4 months ago
Application-level isolation and recovery with solitude
When computer systems are compromised by an attack, it is difficult to determine the precise extent of the damage caused by the attack because the state changes made by an attack...
Shvetank Jain, Fareha Shafique, Vladan Djeric, Ash...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 2 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang