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A dimensionality reduction approach to support visual data mining: Co-ranking-based evaluation

Griparis, Andreea and Faur, Daniela and Datcu, Mihai (2016) A dimensionality reduction approach to support visual data mining: Co-ranking-based evaluation. In: Proceedings of International Conference on Communications (COMM), 2016, pp. 391-394. IEEE Xplore. COMM 2016, 9-10 June 2016, Bucharest, Romania. DOI: 10.1109/ICComm.2016.7528271 ISBN 978-1-4673-8196-3

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528271


The content of Earth Observation archives continues to explosively grow generating the need to extract valuable knowledge from these repositories. A traditional approach for remote sensing image retrieval is to compute the similarity between the user's query and the archive using a query by example system. Additionally, effective data mining involves the user into data exploration, making use of his knowledge to initiate and validate new hypothesis. This paper brings into focus a visualization based approach to mining the EO data. This method aims to map the existing data correlations in the multidimensional information space to the spatial correlations revealed by the 3D space. The assessment of the results considers a single and global quality criterion, involving the number of the intrusions and extrusion to reveal the performance of dimensionality reduction methods.

Item URL in elib:https://elib.dlr.de/108060/
Document Type:Conference or Workshop Item (Speech)
Title:A dimensionality reduction approach to support visual data mining: Co-ranking-based evaluation
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Griparis, AndreeaUniversity Politehnica BucharestUNSPECIFIED
Faur, DanielaUniversity Politehnica BucharestUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:9 June 2016
Journal or Publication Title:Proceedings of International Conference on Communications (COMM), 2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/ICComm.2016.7528271
Page Range:pp. 391-394
Publisher:IEEE Xplore
Keywords:Visualization, dimensionality reduction, EO
Event Title:COMM 2016
Event Location:Bucharest, Romania
Event Type:international Conference
Event Dates:9-10 June 2016
Organizer:Military Technical Academy, Politehnica University of Bucharest
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Dumitru, Corneliu Octavian
Deposited On:22 Nov 2016 14:03
Last Modified:25 Nov 2016 12:33

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