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A graphical data analyzer that analysis trend of a portal traffic based on big data stored by Google Analytic

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dc.contributor.advisorChakrabarty, Dr. Amitabha
dc.contributor.authorFarhan, S.M. Zamshed
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2018-01-11T09:23:09Z
dc.date.available2018-01-11T09:23:09Z
dc.date.copyright2016
dc.date.issued2016-12
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 39).
dc.descriptionThis project report is submitted in partial fulfilment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2016.en_US
dc.description.abstractGoogle Analytics is a web analytics service offered by Google that tracks and reports website traffic, as per every pages to tell it to track, as well it's presenting visual representation of that data. But, to do so demands expertise on Google Analytical data manipulation. Our project helps the users to visualize the data as their own demand. The users also store any instance of traffic data, as well draw a comparison between any two instances. The main goal of this project to provide a simplified structure to analyze Google analytic data analysis users' trend.en_US
dc.description.degreeM. Computer Science and Engineering
dc.description.statementofresponsibilityS.M. Zamshed Farhan
dc.format.extent39 pages
dc.identifier.otherID 15173001
dc.identifier.urihttp://hdl.handle.net/10361/9031
dc.language.isoenen_US
dc.publisherBARC Universityen_US
dc.rightsBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectGoogle Analyticen_US
dc.subjectWeb analytics serviceen_US
dc.subjectGraphical data analyzeren_US
dc.titleA graphical data analyzer that analysis trend of a portal traffic based on big data stored by Google Analyticen_US
dc.typeProject Reporten_US

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Project Report (Master of Science/Engineering in Computer Science and Engineering)