A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].

Fokus utama kami ialah untuk mempelajari keujudan peraturan-peraturan yang ditemui daripada data-data tanpa catatan serta menjana keputusan yang lebih tepat dan muktamad. Ini dilakukan melalui kaedah penghibridan yang merangkumi kedua-dua mekanisma berselia dan tidak berselia. Our terminal focu...

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Bibliographic Details
Main Author:	Karthigasoo, Sakthiaseelan
Format:	Thesis
Language:	English
Published:	2007
Subjects:	QA76.75-76.765 Computer software
Online Access:	http://eprints.usm.my/8668/1/A_MULTI-TIER_KNOWLEDGE.pdf
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id	my-usm-ep.8668
record_format	uketd_dc
spelling	my-usm-ep.86682017-04-14T12:18:37Z A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb]. 2007 Karthigasoo, Sakthiaseelan QA76.75-76.765 Computer software Fokus utama kami ialah untuk mempelajari keujudan peraturan-peraturan yang ditemui daripada data-data tanpa catatan serta menjana keputusan yang lebih tepat dan muktamad. Ini dilakukan melalui kaedah penghibridan yang merangkumi kedua-dua mekanisma berselia dan tidak berselia. Our terminal focus is to learn rules instances that have been discovered from unannotated data and generate results with high accuracy. This is done via a hybridized methodology which features both supervised and unsupervised techniques. Unannotated data without prior classification information could now be useful as our research has brought new insight to knowledge discovery and learning altogether. 2007 Thesis http://eprints.usm.my/8668/ http://eprints.usm.my/8668/1/A_MULTI-TIER_KNOWLEDGE.pdf application/pdf en public masters Universiti Sains Malaysia. Pusat Pengajian Sains Komputer
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA76.75-76.765 Computer software
spellingShingle	QA76.75-76.765 Computer software Karthigasoo, Sakthiaseelan A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].
description	Fokus utama kami ialah untuk mempelajari keujudan peraturan-peraturan yang ditemui daripada data-data tanpa catatan serta menjana keputusan yang lebih tepat dan muktamad. Ini dilakukan melalui kaedah penghibridan yang merangkumi kedua-dua mekanisma berselia dan tidak berselia. Our terminal focus is to learn rules instances that have been discovered from unannotated data and generate results with high accuracy. This is done via a hybridized methodology which features both supervised and unsupervised techniques. Unannotated data without prior classification information could now be useful as our research has brought new insight to knowledge discovery and learning altogether.
format	Thesis
qualification_level	Master's degree
author	Karthigasoo, Sakthiaseelan
author_facet	Karthigasoo, Sakthiaseelan
author_sort	Karthigasoo, Sakthiaseelan
title	A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].
title_short	A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].
title_full	A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].
title_fullStr	A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].
title_full_unstemmed	A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].
title_sort	multi-tier knowledge discovery info-structure using ensemble techniques [qa76.9.d35 s158 2007 f rb].
granting_institution	Universiti Sains Malaysia.
granting_department	Pusat Pengajian Sains Komputer
publishDate	2007
url	http://eprints.usm.my/8668/1/A_MULTI-TIER_KNOWLEDGE.pdf
_version_	1747819719117766656

A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].

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