Techniques for intelligent novelty mining

191 p.

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Bibliographic Details
Main Author: Tsai, Flora S.
Other Authors: Chan Kap Luk
Format: Theses and Dissertations
Published: 2011
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Online Access:https://hdl.handle.net/10356/46995
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-469952023-07-04T17:08:27Z Techniques for intelligent novelty mining Tsai, Flora S. Chan Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 191 p. Intelligent novelty mining addresses the domain-specific problem of mining novel information from text data with specific regard to the user context. Traditional novelty mining focuses on optimizing the retrieval of novel information with a predefined evaluation measure. This tends not be useful in realistic situations where a fixed unit of measure is unable to adapt to the performance requirements of different users. Intelligent novelty mining, on the other hand, aims to balance the technical significance and business concerns to create techniques that are useful in real-world scenarios. This thesis addressed the problem of intelligent novelty mining, which is a big challenge in the data mining and business community. The proposed techniques aim to leverage the use of novelty metrics, novelty decision, and novelty feedback to improve the results of mining new information from text data. DOCTOR OF PHILOSOPHY (EEE) 2011-12-27T05:53:03Z 2011-12-27T05:53:03Z 2010 2010 Thesis Tsai, F. S. (2010). Techniques for intelligent novelty mining. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/46995 10.32657/10356/46995 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Tsai, Flora S.
Techniques for intelligent novelty mining
description 191 p.
author2 Chan Kap Luk
author_facet Chan Kap Luk
Tsai, Flora S.
format Theses and Dissertations
author Tsai, Flora S.
author_sort Tsai, Flora S.
title Techniques for intelligent novelty mining
title_short Techniques for intelligent novelty mining
title_full Techniques for intelligent novelty mining
title_fullStr Techniques for intelligent novelty mining
title_full_unstemmed Techniques for intelligent novelty mining
title_sort techniques for intelligent novelty mining
publishDate 2011
url https://hdl.handle.net/10356/46995
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