loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Rosa Matias 1 ; João-Paulo Moura 2 ; Paulo Martins 2 and Fátima Rodrigues 3

Affiliations: 1 Polytechnic Institute of Leiria, Portugal ; 2 University Of Trás-os-Montes e Alto Douro; Knowledge Engineering and Decision Support Research Center, Portugal ; 3 Porto Institute of Engineering; Knowledge Engineering and Decision Support Research Center, Portugal

ISBN: 978-989-8111-37-1

ISSN: 2184-4992

Keyword(s): Visual Data Mining, Spatial Clustering, Information Visualization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: It is stated that a closer intervention of experts in knowledge discovery can complement and improve the effectiveness of results. Normally, in data mining, automated methods display final results through visualization methods. A more active intervention of experts on automated methods can bring enhancements to the analysis; No meanwhile that approach raises questions about what is a relevant stopping stage. In this work, efforts are made to couple automatic methods with visualization methods in the context of partitioning algorithms applied to spatial data. A data mining workflow is presented with the following concepts: data mining transaction, data mining save point and data mining snapshot. Moreover to display results, novel visual metaphors are changed allowing a better exploration of clustering. In knowledge discovery, experts validate final results; certainly it would be appropriate to them validate intermediate results, avoiding, for instance, losing time, when in disagreement , starting it with new hypnoses or allow data reduction by disable an intermediate cluster from the next stage. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.238.147.211

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Matias, R.; Moura, J.; Martins, P. and Rodrigues, F. (2008). SEMI-AUTOMATIC PARTITIONING BY VISUAL SNAPSHOPTS.In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS, ISBN 978-989-8111-37-1, pages 78-86. DOI: 10.5220/0001709400780086

@conference{iceis08,
author={Rosa Matias and João{-}Paulo Moura and Paulo Martins and Fátima Rodrigues},
title={SEMI-AUTOMATIC PARTITIONING BY VISUAL SNAPSHOPTS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS,},
year={2008},
pages={78-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001709400780086},
isbn={978-989-8111-37-1},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS,
TI - SEMI-AUTOMATIC PARTITIONING BY VISUAL SNAPSHOPTS
SN - 978-989-8111-37-1
AU - Matias, R.
AU - Moura, J.
AU - Martins, P.
AU - Rodrigues, F.
PY - 2008
SP - 78
EP - 86
DO - 10.5220/0001709400780086

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.