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3D scientific data mining in ion trajectories

In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average...

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Main Authors: Mohamad Sharif, Johan, Ngadi, Md. Asri, Abd. Latif, Muhammad Shafie, Jamil, M. M. A.
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/27141/1/JohanMSharif2010_3DScientificDataMining.pdf
http://eprints.utm.my/id/eprint/27141/
http://dx.doi.org/10.1109/WKDD.2010.114
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spelling my.utm.271412022-04-29T21:53:58Z http://eprints.utm.my/id/eprint/27141/ 3D scientific data mining in ion trajectories Mohamad Sharif, Johan Ngadi, Md. Asri Abd. Latif, Muhammad Shafie Jamil, M. M. A. QA75 Electronic computers. Computer science In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average. In this study, we demonstrate a visual approach of such relationship using surface-based visualisation schemes. In particular, we demonstrate a scientific datasets of simulated 3D time-varying model and examine the temporal correlation among ion trajectories. We propose a scheme that uses a three dimensional visual representation with colour scale for depicting the timeline events in ion trajectories and this scheme could be divided into two major part such as global and local time scale. With a collection of visual examples from this study, we demonstrate that this scheme may offer an effective tool for visually mining 3D timeline events of the ion trajectories. This work will potentially form a basis of a novel analysis tool for measuring the effectiveness of visual representation to assist physicist in identifying possible temporal association among complex and chaotic atom movements in ion trajectories. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/27141/1/JohanMSharif2010_3DScientificDataMining.pdf Mohamad Sharif, Johan and Ngadi, Md. Asri and Abd. Latif, Muhammad Shafie and Jamil, M. M. A. (2010) 3D scientific data mining in ion trajectories. In: 3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010, 2010, Phuket, Thailand. http://dx.doi.org/10.1109/WKDD.2010.114
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohamad Sharif, Johan
Ngadi, Md. Asri
Abd. Latif, Muhammad Shafie
Jamil, M. M. A.
3D scientific data mining in ion trajectories
description In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average. In this study, we demonstrate a visual approach of such relationship using surface-based visualisation schemes. In particular, we demonstrate a scientific datasets of simulated 3D time-varying model and examine the temporal correlation among ion trajectories. We propose a scheme that uses a three dimensional visual representation with colour scale for depicting the timeline events in ion trajectories and this scheme could be divided into two major part such as global and local time scale. With a collection of visual examples from this study, we demonstrate that this scheme may offer an effective tool for visually mining 3D timeline events of the ion trajectories. This work will potentially form a basis of a novel analysis tool for measuring the effectiveness of visual representation to assist physicist in identifying possible temporal association among complex and chaotic atom movements in ion trajectories.
format Conference or Workshop Item
author Mohamad Sharif, Johan
Ngadi, Md. Asri
Abd. Latif, Muhammad Shafie
Jamil, M. M. A.
author_facet Mohamad Sharif, Johan
Ngadi, Md. Asri
Abd. Latif, Muhammad Shafie
Jamil, M. M. A.
author_sort Mohamad Sharif, Johan
title 3D scientific data mining in ion trajectories
title_short 3D scientific data mining in ion trajectories
title_full 3D scientific data mining in ion trajectories
title_fullStr 3D scientific data mining in ion trajectories
title_full_unstemmed 3D scientific data mining in ion trajectories
title_sort 3d scientific data mining in ion trajectories
publishDate 2010
url http://eprints.utm.my/id/eprint/27141/1/JohanMSharif2010_3DScientificDataMining.pdf
http://eprints.utm.my/id/eprint/27141/
http://dx.doi.org/10.1109/WKDD.2010.114
_version_ 1732945364106870784
score 13.211869

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