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Development of an intelligent scorpion detection technique using vibration analysis

date accessioned2020-03-12T20:24:16Z
date available2020-03-12T20:24:16Z
date issued2014
identifier other6868374.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1013278?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDevelopment of an intelligent scorpion detection technique using vibration analysis
typeConference Paper
contenttypeMetadata Only
identifier padid8136302
subject keywordsWeb sites
subject keywordsdata mining
subject keywordsFP-growth algorithm
subject keywordsIP addresses
subject keywordsWeb usage data mining
subject keywordsWebsites
subject keywordsapriori algorithm
subject keywordsdata structure
subject keywordsfrequent item set mining
subject keywordsfrequent item set sequences
subject keywordsAlgorithm design and analysis
subject keywordsItemsets
subject keywordsScalability
subject keywordsapriori algorithm
subject keywordsassociation rule
subject keywordsfp tree
subject keywordsfp-growth algorithm
subject keywordsminimum support
subject keywordsweb usage mining
identifier doi10.1109/ICACCCT.2014.7019377
journal titleomputer and Information Sciences (ICCOINS), 2014 International Conference on
filesize2693768
citations0
contributor rawauthorAibinu, A.M. , Sadiq, B.A. , Joseph, E. , Bello Salau, H. , Salami, M.J.E.


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