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dc.contributor.advisorKhan, Mumit
dc.contributor.authorTusar, Md. Fazlul Karim
dc.date.accessioned2011-01-25T10:42:38Z
dc.date.available2011-01-25T10:42:38Z
dc.date.copyright2009
dc.date.issued2009-08
dc.identifier.otherID 05141001
dc.identifier.urihttp://hdl.handle.net/10361/735
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2009.
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 26).
dc.description.abstractAmong the search engines, Google is the most powerful and popular search engine in the web. Google handles roughly 60% of world wide search and Google network is the largest advertising network available online, reaching over 86% of internet users across the web. Google Adwords keyword tool which works based on searches occurred in google and in google network is provides seven different statistics or metrics such as estimated ad position, Estimated Avg. CPC, Advertiser competition, local search volume [Last available month], Global monthly search volume, search volume trends and highest volume occurred in. but it does not provide any keyword effectiveness indicator like keyword density based on a web page URL. Providing these KEI along with Adwords keyword tools existing seven different metrics, make it more effective and noticeably popular for search engine optimization and for Adsense publisher.en_US
dc.description.statementofresponsibilityMd. Fazlul Karim Tusar
dc.format.extent33 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis 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.subjectComputer science and engineering
dc.titleGoogle's keyword analysis tool and compare its various metrics for finding the most popular search terms on the weben_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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