Behavior analysis of smartphone users based on custom application usage

Show simple item record

dc.contributor.author Arafat, Md.Eyasin
dc.contributor.author Newaz, Sarfaraz
dc.date.accessioned 2021-09-09T08:43:14Z
dc.date.available 2021-09-09T08:43:14Z
dc.date.issued 2013-11-15
dc.identifier.citation [1] Mazlina abdul majid. “Human behaviour modelling: an investigation using traditional discrete event and combined discrete event and agent-based simulation” SCSC’09 proceedings of the summer computer simulation conference page 177-184, 2009 [2] Po-Ming Chen, Hui-Yin Wu, Chih-Yu Hsu, and Wen-Hung Liao. “Logging and analyzing mobile user behaiviour” International Symposium on Cyber Behavior, February 10‐12, 2012, Taipei, Taiwan. [3] Muhammad Awais Azam, Jonathan Loo, Sardar Khan, Muhammad Adeel, Waleed Ejaz. “Human Behaviour Analysis Using Data Collected from Mobile Devices.” International Journal on Advances in Life Sciences, volume 4, numbers 1 and 2, 2012 [4] Po-Ming Chen, Cheng-Ho Chen, Wen-Hung Liao, Tsai-Yen Li. “A Service Platform for Logging and Analyzing Mobile User Behaviors” Appeared in Proceeding of Edutainment 2011, LNCS 6872, 2011 [5] Seung-Cheol Lee, Juryon Paik, Jeewoong Ok, Insang Song, and Ung Mo Kim.“Efficient Mining of User Behaviors by Temporal Mobile Access Patterns” International Journal of Computer Science and Network Security, VOL.7 No.2, February 2007 [6] Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian. “A Habit Mining Approach for Discovering Similar Mobile Users” WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web. 2012, p. 231-240 Page 40 of 40 [7] Qiang Xu, Jeffrey Erman, Alexandre Gerber. “Identifying diverse usage behaviors of smartphone apps” IMC ‘11 Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference. [8] Shakina.S, J.Rosaline Nirmala. “Mining and Prediction of Mobile User Behavior in Location Based Service Environment” International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012. [9] M. Ficek, T. Pop, P. Vláˇcil, K. Dufková, L. Kencl, andM. Tomek . “Performance study of active tracking in a cellular etwork using a modular signaling platform”. In Proc. ACMMOBISYS , 2010. [10] B. D. Higgins, A. Reda, T. Alperovich, J. Flinn, T. J. Giuli,B. Noble, and D. Watson. Intentional networking opportunistic exploitation of mobile network diversity. InProc. ACM MOBICOM , 2010. [11] A. Gember, A. Anand, and A. Akella. A Comparative Studyof Handheld and Non-Handheld Traffic in Campus WiFiNetworks. In Proc. International Conference on Passive andActive Network Measurement (PAM), 2011. [12] Zdravko Markov Central, Ingrid Russell Connecticut State University University of Hartford . An Introduction to the WEKA Data Mining System en_US
dc.identifier.uri http://hdl.handle.net/123456789/925
dc.description Supervised by Md. Ali-Al-Mamun, Assistant Professor, Department of Computer Science and Engineering (CSE) Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh. en_US
dc.description.abstract Now a day’s smartphone has become a demanding need to the next generation activities. With different facilities these smartphones have given us a lot of application to experience new inventions of science. People of different territory have different taste to judge these applications. In our research we try to know about their behavioral states depending on their usage of some particular custom applications and information from sensors . We are going to present a system that takes the log data from smartphone of different applications and sensors (like Accelerometer) and analyze the behavior of that user. These applications are already available in most of the smartphones. While people use the phone they simultaneously use different kind of applications for a period of time. In our system we will try to collect the log data of the popular applications used by smartphone users in different timeframe and make a specific relation between them so that in future we can analysis the behavior of the specific user with our system. The reason behind this analysis is to find the similar users and the users of different interest and provide them some relevant recommendations. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.title Behavior analysis of smartphone users based on custom application usage en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search IUT Repository


Advanced Search

Browse

My Account

Statistics