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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

Keyword(s): Big Data, Data Mining, Decision Support Systems, Modeling and Managing Large Data Systems.

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

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.

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Paper citation in several formats:
Karacapilidis, N.; Rueping, S.; Tsiliki, G. and Tzagarakis, M. (2012). Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment . In Proceedings of the International Conference on Data Technologies and Applications - DATA; ISBN 978-989-8565-18-1; ISSN 2184-285X, SciTePress, pages 141-146. DOI: 10.5220/0004051201410146

@conference{data12,
author={Nikos Karacapilidis. and Stefan Rueping. and Georgia Tsiliki. and Manolis Tzagarakis.},
title={Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment },
booktitle={Proceedings of the International Conference on Data Technologies and Applications - DATA},
year={2012},
pages={141-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004051201410146},
isbn={978-989-8565-18-1},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the International Conference on Data Technologies and Applications - DATA
TI - Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment
SN - 978-989-8565-18-1
IS - 2184-285X
AU - Karacapilidis, N.
AU - Rueping, S.
AU - Tsiliki, G.
AU - Tzagarakis, M.
PY - 2012
SP - 141
EP - 146
DO - 10.5220/0004051201410146
PB - SciTePress