Cell Oscillation Resolution in Mobility Profile Building
Mobility profile building became extensively examined area in Location based services (LBS) through extraction of significant locations. Mobility traces are recorded under three reference positioning systems that are Satellite based i.e. GPS, Network based i.e. GSM and Local positioning i.e. WLAN, RFID, IrDA. Satellite based and local positioning due to of high power consumption, additional resource installation, low accuracy and space limitation are less encouraging. So network based positioning i.e. GSM is only viable solution for mobility tracing through Cell global identity (CGI). CGI presents the Cell-ids to extract the significant locations from mobility history. However CGI faces cell oscillation problem, where user is assigned multiple Cell-Ids even at a stationary state for load balancing and GSM cells overlapping. In this paper we proposed two semi-supervised methodology for cell oscillation resolution i.e. semantic tagging and overlapped area clustering, the proposed methodologies are equally useful for the identification of significant places too.
Keywords: GSM Cell Oscillation, Mobility profile mining, Spatial extraction, Trajectory mining.
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ABOUT THE AUTHORS
Shafqat Ali Shad
Mr. Shafqat Ali Shad is second year doctoral student at USTC. He obtained his Master degree in Computer Science from COMSATS Institute of Information Technology, Pakistan with the distinction of Chancellor Gold Medal in 2004. He had worked as National ICT Consultant for Asian Development Bank for Health sector reforms program in Pakistan mainly focused on Pakistan millennium development goals in 2010. He also worked with Planning Commission, Government of Pakistan as Deputy Director for ICT policy making and implementation of Five year plans, Annual plans and Vision 2030 from 2004 to 2009. Beside this He worked as freelance ERP consultant for SAP and Oracle E-business suite implementations in large enterprises for almost 5 years. His professional certifications include Oracle 10g DBA, Juniper Certified Internet Specialist-ER and PMP. His current research interests include Mobile mining, Recommender systems, Machine learning and ERP systems. He is the author of 3 international journal publications.
Enhong Chen
Dr. Chen Enhong, born in July 1968, currently works as a professor and doctoral supervisor at the Laboratory of Semantic Computing and Data Mining, University of Science and Technology of China (USTC). Prof. Chen is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Chen obtained his Ph.D. in Computer Software from USTC. Prof. Chen currently serves as Vice Dean of School of Computer Science and Technology of China, Deputy Director of the MOE–Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Member of the Knowledge Engineering Committee and the Machine Learning Committee of the Chinese Association for Artificial Intelligence, Member of the Artificial Intelligence and Pattern Recognition Committee of the China Computer Federation. Besides, Prof. Chen also serves on the program committees for over 20 international academic conferences.Prof. Chen has authored more than 90 research papers and invited papers published in international and domestic academic journals or submitted to international academic conferences. His paper presented to the top international conference on data mining, namely, the KDD2008, has won the Best Application Paper Award.
Tengfei Bao
Tengfei Bao is a research student at USTC he is author of many international journal and conference publications. He worked for Nokia Research Centere Asia and made major contributions in Mobile user's habit mining research area.
Shafqat Ali Shad
Mr. Shafqat Ali Shad is second year doctoral student at USTC. He obtained his Master degree in Computer Science from COMSATS Institute of Information Technology, Pakistan with the distinction of Chancellor Gold Medal in 2004. He had worked as National ICT Consultant for Asian Development Bank for Health sector reforms program in Pakistan mainly focused on Pakistan millennium development goals in 2010. He also worked with Planning Commission, Government of Pakistan as Deputy Director for ICT policy making and implementation of Five year plans, Annual plans and Vision 2030 from 2004 to 2009. Beside this He worked as freelance ERP consultant for SAP and Oracle E-business suite implementations in large enterprises for almost 5 years. His professional certifications include Oracle 10g DBA, Juniper Certified Internet Specialist-ER and PMP. His current research interests include Mobile mining, Recommender systems, Machine learning and ERP systems. He is the author of 3 international journal publications.
Enhong Chen
Dr. Chen Enhong, born in July 1968, currently works as a professor and doctoral supervisor at the Laboratory of Semantic Computing and Data Mining, University of Science and Technology of China (USTC). Prof. Chen is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Chen obtained his Ph.D. in Computer Software from USTC. Prof. Chen currently serves as Vice Dean of School of Computer Science and Technology of China, Deputy Director of the MOE–Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Member of the Knowledge Engineering Committee and the Machine Learning Committee of the Chinese Association for Artificial Intelligence, Member of the Artificial Intelligence and Pattern Recognition Committee of the China Computer Federation. Besides, Prof. Chen also serves on the program committees for over 20 international academic conferences.Prof. Chen has authored more than 90 research papers and invited papers published in international and domestic academic journals or submitted to international academic conferences. His paper presented to the top international conference on data mining, namely, the KDD2008, has won the Best Application Paper Award.
Tengfei Bao
Tengfei Bao is a research student at USTC he is author of many international journal and conference publications. He worked for Nokia Research Centere Asia and made major contributions in Mobile user's habit mining research area.
