dc.contributor.advisor | Chakrabarty, Dr. Amitabha | |
dc.contributor.author | Hasan, S.A.M Khaled | |
dc.contributor.author | Nahian, Shariar Al | |
dc.contributor.author | Islam, Sakibul | |
dc.date.accessioned | 2018-01-11T05:08:54Z | |
dc.date.available | 2018-01-11T05:08:54Z | |
dc.date.copyright | 2017 | |
dc.date.issued | 8/21/2017 | |
dc.identifier.other | ID 14201012 | |
dc.identifier.other | ID 13301036 | |
dc.identifier.other | ID 13101181 | |
dc.identifier.uri | http://hdl.handle.net/10361/9018 | |
dc.description | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (page 54). | |
dc.description | This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. | en_US |
dc.description.abstract | Predicting future locations by analyzing past data is not new. Giants like Google, Yahoo or Amazon all use their own machine learning algorithms to generate it but these companies use the data for business purposes as a result our personal and valuable data get sacrificed for their sake. In our project, Predictive Location Generation Using Machine learning, we have developed a mobile application which can automatically locate present position of users using GPS and then based on these collected data it can generate meaningful predictive future locations using machine learning algorithm. The application then trades these generated locations to extract information (such as traffic updates, crime report of certain regions, addresses of important places, product offers and so on) from third party servers using Internet but the key part of this procedure would be not to disclose the user’s identity to the third party. | en_US |
dc.description.statementofresponsibility | S.A.M Khaled Hasan | |
dc.description.statementofresponsibility | Shariar Al Nahian | |
dc.description.statementofresponsibility | Sakibul Islam | |
dc.format.extent | 54 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC University theses 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.subject | GPS | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Location generation | en_US |
dc.title | Predictive location generation using machine learning approach | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B. Computer Science and Engineering | |