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Fraunhofer Society, Germany

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2 Papers

Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment

Topics: Datamining; Decision Support Systems; Big Data; Modeling and Managing Large Data Systems

Authors: Nikos Karacapilidis ¹ , Stefan Rueping ² , Georgia Tsiliki ³ and Manolis Tzagarakis ¹

Affiliations: ¹ University of Patras, Greece , ² Fraunhofer IAIS and Schloss Birlinghoven, Germany , ³ Academy of Athens, Greece

Digital Object Identifier: 10.5220/0004051201410146

Proceedings of DATA 2012, ISBN: 978-989-8565-18-1

Quick Abstract

Arguing that dealing with data-intensive settings is not a technical problem alone, we propose a hybrid approach that builds on the synergy between machine and human intelligence to facilitate the underlying sense-making and decision making processes. The proposed approach, which can be viewed as an innovative workbench incorporating and orchestrating a set of interoperable services, is illustrated through a real case concerning collaborative subgroup discovery in microarray data. Evaluation results, validating the potential of our approach, are also included.

Related Ontology Subjects/Areas/Topics (22)

Artificial Intelligence	Data Mining	Health Information Systems
Big Data	Databases and Information Systems Integration	Knowledge-Based Systems
Biomedical Engineering	Datamining	Modeling and Managing Large Data Systems
Business Analytics	Decision Support Systems	Sensor Networks
Cardiovascular Technologies	Decision Support Systems, Remote Data Analysis	Signal Processing
Computing and Telecommunications in Cardiology	Enterprise Information Systems	Soft Computing
Data Engineering	Health Engineering and Technology Applications	Symbolic Systems
Data Management and Quality

A SEMANTIC GRID SERVICES ARCHITECTURE IN SUPPORT OF EFFICIENT KNOWLEDGE DISCOVERY FROM MULTILEVEL CLINICAL AND GENOMIC DATASETS

Topics: Datamining; Decision Support Systems; Interoperability; Ehealth; Online Medical Applications; Telemedicine; Medical and Nursing Informatics; Confidentiality and Data Security; Wearable Health Informatics; Semantic Interoperability; Therapeutic Systems and Technologies; Physiological Modeling; e-Commerce in the Health Sector; Hospital Management Systems; Databases and Datawarehousing; Expert Systems in Healthcare; Cognitive Informatics; Affective Computing; Human-Machine Interfaces for Disabled Persons; Development of Assistive Technology for Independent Living; ICT for Cognitive Disabilities; ICT, Ageing and Disability; Socio-Economic Issues of Assistive Technology; Practice Based Research Methods for Assistive Technology

Authors: Manolis Tsiknakis ¹ , Stelios Sfakianakis ¹ , Stefan Rueping ² , Oswaldo Trelles ³ , Thierry Siestang ⁴ , Brecht Claerhout ⁵ and Vasiilis Virvilis ⁶

Affiliations: ¹ Institute of Computer Science, Foundation for Research and Technology - Hellas, Greece , ² Fraunhofer IAIS, Schloss Birlinghoven, Germany , ³ University of Malaga, Spain , ⁴ Swiss Institute of Bioinformatics, Switzerland , ⁵ Custodix NV, Belgium , ⁶ Biovista S.A., Greece

Digital Object Identifier: 10.5220/0001045402790287

Proceedings of Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems 2008/BIOSTEC, ISBN: 978-989-8111-16-6

Quick Abstract

This paper presents the architectural considerations of the Advancing Clinico-Genomic Trials on Cancer (ACGT) project aiming at delivering a European Biomedical Grid in support of efficient knowledge discovery in the context of post-genomic clinical trials on cancer. Our main research challenge in ACGT is the requirement to develop an infrastructure able to produce, use, and deploy knowledge as a basic element of advanced applications, which will mainly constitute a Biomedical Knowledge Grid. Our approach to offer semantic modelling of available services and data sources to support high level services and dynamic services for discovery and composition will be presented. In particular, ontologies and metadata are the basic elements through which Grid intelligence services can be developed, and the current achievements of the project in this domain will be discussed.

Related Ontology Subjects/Areas/Topics (62)

Affective Computing	e-Business	Neurotechnology, Electronics and Informatics
Applications	e-Commerce in the Health Sector	Online Medical Applications
Artificial Intelligence	e-Health	Ontologies and the Semantic Web
Biomedical Engineering	Enterprise Information Systems	Physiological Computing Systems
Biomedical Signal Processing	Expert Systems	Physiological Modeling
Business Analytics	Health Engineering and Technology Applications	Platforms and Applications
Cardiovascular Technologies	Health Information Systems	Practice Based Research Methods for Assistive Technology
Cloud Computing	Hospital Management Systems	Semantic Interoperability
Cognitive Informatics	Human-Computer Interaction	Sensor Networks
Collaboration and e-Services	Human-Machine Interfaces for Disabled Persons	Signal Processing
Complex Systems Modeling and Simulation	ICT for Cognitive Disabilities	Simulation and Modeling
Computing and Telecommunications in Cardiology	ICT, Ageing and Disability	Socio-Economic Issues of Assistive Technology
Confidentiality and Data Security	Integration/Interoperability	Soft Computing
Data Engineering	Interoperability	Software Agents and Internet Computing
Data Mining	Knowledge Engineering and Ontology Development	Software and Architectures
Databases and Datawarehousing	Knowledge Management and Information Sharing	Software Engineering
Databases and Information Systems Integration	Knowledge-Based Systems	Symbolic Systems
Datamining	Medical and Nursing Informatics	Telemedicine
Development of Assistive Technology	Mobile Technologies	Therapeutic Systems and Technologies
Devices	Mobile Technologies for Healthcare Applications	Wearable Sensors and Systems
Distributed and Mobile Software Systems	Neural Rehabilitation

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