Welcome to Research Repository UCD
Research Repository UCD is a digital collection of open access scholarly research publications from University College Dublin. Research Repository UCD collects, preserves and makes freely available publications including peer-reviewed articles, working papers and conference papers created by UCD researchers. Where material has already been published it is made available subject to the open-access policies of the original publishers. This service is maintained by UCD Library.
Mining Spatio-temporal Data at Different Levels of Detail
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CamossiAGILE2008.pdf | 2.51 MB | Adobe PDF | Download |
| Title: | Mining Spatio-temporal Data at Different Levels of Detail | Authors: | Camossi, Elena Bertolotto, Michela Kechadi, Tahar |
Permanent link: | http://hdl.handle.net/10197/1442 | Date: | 8-May-2008 | Online since: | 2009-09-28T14:22:56Z | Abstract: | In this paper we propose a methodology for mining very large spatio-temporal datasets. We propose a two-pass strategy for mining and manipulating spatio-temporal datasets at different levels of detail (i.e., granularities). The approach takes advantage of the multi-granular capability of the underlying spatio-temporal model to reduce the amount of data that can be accessed initially. The approach is implemented and applied to real-world spatio-temporal datasets. We show that the technique can deal easily with very large datasets without losing the accuracy of the extracted patterns, as demonstrated in the experimental results. | Funding Details: | Science Foundation Ireland; Irish Research Council for Science, Engineering & Technology | Type of material: | Conference Publication | Publisher: | Springer-Verlag | Copyright (published version): | Springer 2008 | Keywords: | Spatio-temporal data mining; Spatio-temporal multi-granularity | Subject LCSH: | Data mining Granular computing |
DOI: | 10.1007/978-3-540-78946-8_12 | Other versions: | http://dx.doi.org/10.1007/978-3-540-78946-8_12 | Language: | en | Status of Item: | Peer reviewed | Is part of: | Bernard, L., Friis-Christen, A., and Pundt, H. (eds.) The European Information Society : taking geo-information science one step further | Conference Details: | Presented at the 11th AGILE International Conference on Geographic Information Science (AGILE 2008), Girona, Spain, 5-8 May 2008 | ISBN: | 978-3-540-78945-1 |
| Appears in Collections: | Computer Science Research Collection |
Show full item record
Page view(s) 20
153
checked on May 25, 2018
Download(s) 10
764
checked on May 25, 2018
Google ScholarTM
Check
Altmetric
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.