SSM: Fast construction of the Optimized Segment Support Map

Computing the frequency of a pattern is one of the key operations in data mining algorithms. Recently, the Optimized Segment Support Map (OSSM) was introduced as a simple but powerful way of speeding up any form of frequency counting satisfying the monotonicity condition. However, the construction c...

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Main Authors: ONG, Kok-Leong, NG, Wee-Keong, LIM, Ee Peng
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Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/sis_research/1028
https://ink.library.smu.edu.sg/context/sis_research/article/2027/viewcontent/Ong2003_Chapter_FSSMFastConstructionOfTheOptim.pdf
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spelling sg-smu-ink.sis_research-20272018-06-25T08:58:21Z SSM: Fast construction of the Optimized Segment Support Map ONG, Kok-Leong NG, Wee-Keong LIM, Ee Peng Computing the frequency of a pattern is one of the key operations in data mining algorithms. Recently, the Optimized Segment Support Map (OSSM) was introduced as a simple but powerful way of speeding up any form of frequency counting satisfying the monotonicity condition. However, the construction cost to obtain the ideal OSSM is high, and makes it less attractive in practice. In this paper, we propose the FSSM, a novel algorithm that constructs the OSSM quickly using a FP-Tree. Given a user-defined segment size, the FSSM is able to construct the OSSM at a fraction of the time required by the algorithm previously proposed. More importantly, this fast construction time is achieved without compromising the quality of the OSSM. Our experimental results confirm that the FSSM is a promising solution for constructing the best OSSM within user given constraints. 2003-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1028 info:doi/10.1007/978-3-540-45228-7_26 https://ink.library.smu.edu.sg/context/sis_research/article/2027/viewcontent/Ong2003_Chapter_FSSMFastConstructionOfTheOptim.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
ONG, Kok-Leong
NG, Wee-Keong
LIM, Ee Peng
SSM: Fast construction of the Optimized Segment Support Map
description Computing the frequency of a pattern is one of the key operations in data mining algorithms. Recently, the Optimized Segment Support Map (OSSM) was introduced as a simple but powerful way of speeding up any form of frequency counting satisfying the monotonicity condition. However, the construction cost to obtain the ideal OSSM is high, and makes it less attractive in practice. In this paper, we propose the FSSM, a novel algorithm that constructs the OSSM quickly using a FP-Tree. Given a user-defined segment size, the FSSM is able to construct the OSSM at a fraction of the time required by the algorithm previously proposed. More importantly, this fast construction time is achieved without compromising the quality of the OSSM. Our experimental results confirm that the FSSM is a promising solution for constructing the best OSSM within user given constraints.
format text
author ONG, Kok-Leong
NG, Wee-Keong
LIM, Ee Peng
author_facet ONG, Kok-Leong
NG, Wee-Keong
LIM, Ee Peng
author_sort ONG, Kok-Leong
title SSM: Fast construction of the Optimized Segment Support Map
title_short SSM: Fast construction of the Optimized Segment Support Map
title_full SSM: Fast construction of the Optimized Segment Support Map
title_fullStr SSM: Fast construction of the Optimized Segment Support Map
title_full_unstemmed SSM: Fast construction of the Optimized Segment Support Map
title_sort ssm: fast construction of the optimized segment support map
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/sis_research/1028
https://ink.library.smu.edu.sg/context/sis_research/article/2027/viewcontent/Ong2003_Chapter_FSSMFastConstructionOfTheOptim.pdf
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