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An approach for frequent access pattern identification in web usage mining

contributor authorSharma, Murli Manohar
contributor authorBala, Anju
date accessioned2020-03-12T21:58:20Z
date available2020-03-12T21:58:20Z
date issued2014
identifier other6968481.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1066940?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn approach for frequent access pattern identification in web usage mining
typeConference Paper
contenttypeMetadata Only
identifier padid8201291
subject keywordsAndroid (operating system)
subject keywordsn authorisation
subject keywordsn graphical user interfaces
subject keywordsn invasive software
subject keywordsn mobile computing
subject keywordsn private key cryptography
subject keywordsn smart phones
subject keywordsn Android smart phones
subject keywordsn H-Secure application
subject keywordsn Web server
subject keywordsn application stores
subject keywordsn business applications
subject keywordsn business data
subject keywordsn confidential business information
subject keywordsn confidential data storage
subject keywordsn confidential file storage
subject keywordsn data access
subject keywordsn decryption process
subject keywordsn destination servers
subject keywordsn employee-owned devic
identifier doi10.1109/CSCITA.2014.6839289
journal titledvances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
filesize218009
citations0


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