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» Pattern Matching for Case Analysis: A Computational Definiti...
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SDM
2010
SIAM
283views Data Mining» more  SDM 2010»
13 years 9 months ago
Cascading Spatio-temporal Pattern Discovery: A Summary of Results
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
JSS
2011
126views more  JSS 2011»
12 years 10 months ago
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the...
Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Z...
BMCBI
2007
115views more  BMCBI 2007»
13 years 7 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
SPIN
2009
Springer
14 years 2 months ago
Identifying Modeling Errors in Signatures by Model Checking
: Most intrusion detection systems deployed today apply misuse detection as analysis method. Misuse detection searches for attack traces in the recorded audit data using predefined...
Sebastian Schmerl, Michael Vogel, Hartmut Kön...
APCCM
2006
13 years 9 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff