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OTM
2005
Springer
16 years 9 days ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
COOPIS
2004
IEEE
15 years 10 months ago
Component-Based Dynamic QoS Adaptations in Distributed Real-Time and Embedded Systems
Large scale distributed real time and embedded (DRE) applications are complex entities that are often composed of different subsystems and have stringent Quality of Service (QoS) r...
Praveen Kaushik Sharma, Joseph P. Loyall, George T...
FLAIRS
2003
15 years 8 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury
197
Voted
PET
2004
Springer
16 years 4 days ago
Language-Based Enforcement of Privacy Policies
Abstract. We develop a language-based approach for modeling and verifying aspects of privacy policies. Our approach relies on information-flow control. Concretely, we use the prog...
Katia Hayati, Martín Abadi
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
16 years 26 days ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...