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» Genetic Process Mining: A Basic Approach and Its Challenges
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ASIAMS
2009
IEEE
14 years 10 months ago
Uncovering Hidden Information Within University's Student Enrollment Data Using Data Mining
To date, higher educational organizations are placed in a very high competitive environment. To remain competitive, one approach is to tackle the student and administration challen...
Fadzilah Siraj, Mansour Ali Abdoulha
BMCBI
2007
215views more  BMCBI 2007»
14 years 9 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
GECCO
2007
Springer
230views Optimization» more  GECCO 2007»
15 years 3 months ago
Activation energy-based simulation for self-assembly of multi-shape tiles
Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental appro...
Mostafa Mostafa Hashim Ellabaan
CN
2006
163views more  CN 2006»
14 years 9 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
PAMI
2011
14 years 4 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden