Query Driven Data Subspace Mapping

Fountas, P., Papathanasaki, M., Kolomvatsos, K. and Anagnostopoulos, C. (2022) Query Driven Data Subspace Mapping. In: 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022), Crete, Greece, 17-20 June 2022, pp. 496-508. ISBN 9783031083365 (doi: 10.1007/978-3-031-08337-2_41)

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The increased use of multiple types of smart devices in several application domains, opens the pathways for the collection of humongous volumes of data. At the same time, the need for processing of only a subset of these data by applications in order to quickly conclude tasks execution and knowledge extraction, has resulted in the adoption of a very high number of queries set into distributed datasets. As a result, a significant process is the efficient response to these queries both in terms of time and the appropriate data. In this paper, we present a hierarchical query-driven clustering approach, for performing efficient data mapping in remote datasets for the management of future queries. Our work differs from other current methods in the sense that it combines a Query-Based Learning (QBL) model with a hierarchical clustering in the same methodology. The performance of the proposed model is assessed by a set of experimental scenarios while we present the relevant numerical outcomes.

Item Type:Conference Proceedings
Additional Information:Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 647). Print ISBN: 9783031083365.
Glasgow Author(s) Enlighten ID:Kolomvatsos, Dr Kostas and Fountas, Mr Panagiotis and Anagnostopoulos, Dr Christos
Authors: Fountas, P., Papathanasaki, M., Kolomvatsos, K., and Anagnostopoulos, C.
College/School:College of Science and Engineering > School of Computing Science
Published Online:10 June 2022
Copyright Holders:Copyright © 2022 IFIP International Federation for Information Processing
First Published:First published in Artificial Intelligence Applications and Innovations: 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Part II: 496-508
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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