Topic detection using maximal frequent sequences

Master's

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Bibliographic Details
Main Author: YAP YANG LENG, IVAN
Other Authors: MECHANICAL ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/14686
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-146862015-01-22T21:10:01Z Topic detection using maximal frequent sequences YAP YANG LENG, IVAN MECHANICAL ENGINEERING LOH HAN TONG Topic Detection, Document Clustering, Maximal Frequent Sequences, Equivalence Classes Master's MASTER OF ENGINEERING 2010-04-08T10:45:43Z 2010-04-08T10:45:43Z 2005-03-18 Thesis YAP YANG LENG, IVAN (2005-03-18). Topic detection using maximal frequent sequences. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/14686 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic Topic Detection, Document Clustering, Maximal Frequent Sequences, Equivalence Classes
spellingShingle Topic Detection, Document Clustering, Maximal Frequent Sequences, Equivalence Classes
YAP YANG LENG, IVAN
Topic detection using maximal frequent sequences
description Master's
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
YAP YANG LENG, IVAN
format Theses and Dissertations
author YAP YANG LENG, IVAN
author_sort YAP YANG LENG, IVAN
title Topic detection using maximal frequent sequences
title_short Topic detection using maximal frequent sequences
title_full Topic detection using maximal frequent sequences
title_fullStr Topic detection using maximal frequent sequences
title_full_unstemmed Topic detection using maximal frequent sequences
title_sort topic detection using maximal frequent sequences
publishDate 2010
url http://scholarbank.nus.edu.sg/handle/10635/14686
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