Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility

Abstract:Mobile web services pattern mining is an emerging field today, in which utility is playing an important role. Utility may be the profit, cost or price of an item. In the case of mobile web services, accessed preference is considered as a utility. With the help of utility mining, one can ext...

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Autor principal: Mohbey,Krishna Kumar
Lenguaje:English
Publicado: Universidad de Talca 2019
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000300106
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spelling oai:scielo:S0718-187620190003001062019-12-17Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service UtilityMohbey,Krishna Kumar Frequent service patterns Knowledge discovery Mobile services Sequence utility Sequential pattern mining Abstract:Mobile web services pattern mining is an emerging field today, in which utility is playing an important role. Utility may be the profit, cost or price of an item. In the case of mobile web services, accessed preference is considered as a utility. With the help of utility mining, one can extract highly interesting frequent patterns of mobile web services. In previous related studies, most of the approaches use utility as an essential parameter to discover interesting patterns, but they also generate a large number of uninteresting patterns too. Another problem is related to computational time; because no filtration is applied and computational time is too much. In this paper, an efficient approach, Utility Based Frequent Pattern Mining, is proposed. It extracts utility based frequent patterns with high filtration in less computing time. The experimental results show that the proposed approach has good performance in terms of execution efficiency and memory utilization.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.14 n.3 20192019-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000300106en10.4067/S0718-18762019000300106
institution Scielo Chile
collection Scielo Chile
language English
topic Frequent service patterns
Knowledge discovery
Mobile services
Sequence utility
Sequential pattern mining
spellingShingle Frequent service patterns
Knowledge discovery
Mobile services
Sequence utility
Sequential pattern mining
Mohbey,Krishna Kumar
Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility
description Abstract:Mobile web services pattern mining is an emerging field today, in which utility is playing an important role. Utility may be the profit, cost or price of an item. In the case of mobile web services, accessed preference is considered as a utility. With the help of utility mining, one can extract highly interesting frequent patterns of mobile web services. In previous related studies, most of the approaches use utility as an essential parameter to discover interesting patterns, but they also generate a large number of uninteresting patterns too. Another problem is related to computational time; because no filtration is applied and computational time is too much. In this paper, an efficient approach, Utility Based Frequent Pattern Mining, is proposed. It extracts utility based frequent patterns with high filtration in less computing time. The experimental results show that the proposed approach has good performance in terms of execution efficiency and memory utilization.
author Mohbey,Krishna Kumar
author_facet Mohbey,Krishna Kumar
author_sort Mohbey,Krishna Kumar
title Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility
title_short Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility
title_full Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility
title_fullStr Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility
title_full_unstemmed Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility
title_sort frequent pattern mining approach for a mobile web service environment using service utility
publisher Universidad de Talca
publishDate 2019
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000300106
work_keys_str_mv AT mohbeykrishnakumar frequentpatternminingapproachforamobilewebserviceenvironmentusingserviceutility
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