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» On Granular Knowledge Structures
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ESWA
2007
127views more  ESWA 2007»
15 years 19 days ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
GEOS
2009
Springer
15 years 5 months ago
SPARQL Query Re-writing Using Partonomy Based Transformation Rules
Abstract. Often the information present in a spatial knowledge base is represented at a different level of granularity and abstraction than the query constraints. For querying onto...
Prateek Jain, Peter Z. Yeh, Kunal Verma, Cory A. H...
123
Voted
ACSAC
2010
IEEE
14 years 9 months ago
Heap Taichi: exploiting memory allocation granularity in heap-spraying attacks
Heap spraying is an attack technique commonly used in hijacking browsers to download and execute malicious code. In this attack, attackers first fill a large portion of the victim...
Yu Ding, Tao Wei, Tielei Wang, Zhenkai Liang, Wei ...
CAISE
1999
Springer
15 years 5 months ago
Towards a Classification Framework for Application Granularity in Workflow Management Systems
The support of process enactment through the use of workflow management systems has gained considerable attention within the last few years. We develop a classification framework c...
Jörg Becker, Michael zur Muehlen
SEMWIKI
2008
129views Data Mining» more  SEMWIKI 2008»
15 years 2 months ago
Hypertext Knowledge Workbench
This paper presents a tool for semantic personal knowledge management called Hypertext Knowledge Workbench (HKW), an editor and browser for semantic personal knowledge models. The ...
Max Völkel