Predicting Sales In E-commerce Using Bayesian Network Model
An area of substantial research is that of predicting product sales, such as books, video games and movie tickets. There are a number of prediction models that have been used to predict future sales however these models attempt to solve the problem by making assumptions. These models assume that independent variables are truly independent. In theory, there should be zero correlation between any of the independent variables. In practice, however, many variables are related, sometimes quite highly. Therefore, different prediction techniques/methods have been and are being researched on and proposed
to address this drawback. The aim of this study is to identify ways of improving prediction of product sales in mobile phones. Consequently, the study will realize a predictive model that will classify sentiments from social media and compute the probability and present an improved predictive model.
Keywords: Bayesian Networks, Graphical Models, Prediction Model, Social Media, Electronic Commerce
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ABOUT THE AUTHORS
Everlyne Nasambu Wamukekhe
Everlyne Wamukekhe is a holder of BSc. Information Technology (2011), Ongoing MSc. Software Engineering Jomo Kenyatta University of Agriculture and Technology. Worked at Kenya Institute of Education and curriculum development (2001) and currently working at Jomo Kenyatta University of Agriculture and Technology. as an ICT officer and a CISCO Instructor department of Computing
Waweru Mwangi
Prof. Waweru Mwangi is an associate professor and a Senior Lecturer in the Department of Computing, Jomo Kenyatta University of Agriculture and technology. He is an Associate Professor of Information Systems Engineering. PhD in Information Systems Engineering, Hokkaido University (Japan) 2004, MSc Operation s Research and Cybernetics, Shanghai University (China) 1995. Bed Mathematics Kenyatta University (Kenya) 1989. Director Institute of Computer Science and Information Technology in JKUAT 2004 to 2013. Research interests: Information architecture, System performance optimization, Simulation and modeling , Intelligent agent modeling. Publications; Published more than 20 papers in international and local journals related to the field of ICT.
Michael Kimwele
Dr. Michael W. Kimwele is a Lecturer in the Department of Computing, Jomo Kenyatta University of Agriculture and technology (JKUAT). He holds a BSc. Mathematics and Computer Science-First Class Honours from JKUAT (2002), a Masters in Information Technology Management from University of Sunderland-UK (2006) and a Doctorate in Information Technology from JKUAT (2012). At present, he is the Associate Chairman, Department of Information Technology; JKUAT-Westlands Campus.Dr.Kimwele has authored a commendable number of research papers in international/national conference/journals and also supervises postgraduate students in Computer Science/Information Technology. His research interests include Information systems management, Information Technology Security, Electronic Commerce, Mobile Computing, Social implications of computer applications, Human Computer Interaction, and Computer Ethics.
Everlyne Nasambu Wamukekhe
Everlyne Wamukekhe is a holder of BSc. Information Technology (2011), Ongoing MSc. Software Engineering Jomo Kenyatta University of Agriculture and Technology. Worked at Kenya Institute of Education and curriculum development (2001) and currently working at Jomo Kenyatta University of Agriculture and Technology. as an ICT officer and a CISCO Instructor department of Computing
Waweru Mwangi
Prof. Waweru Mwangi is an associate professor and a Senior Lecturer in the Department of Computing, Jomo Kenyatta University of Agriculture and technology. He is an Associate Professor of Information Systems Engineering. PhD in Information Systems Engineering, Hokkaido University (Japan) 2004, MSc Operation s Research and Cybernetics, Shanghai University (China) 1995. Bed Mathematics Kenyatta University (Kenya) 1989. Director Institute of Computer Science and Information Technology in JKUAT 2004 to 2013. Research interests: Information architecture, System performance optimization, Simulation and modeling , Intelligent agent modeling. Publications; Published more than 20 papers in international and local journals related to the field of ICT.
Michael Kimwele
Dr. Michael W. Kimwele is a Lecturer in the Department of Computing, Jomo Kenyatta University of Agriculture and technology (JKUAT). He holds a BSc. Mathematics and Computer Science-First Class Honours from JKUAT (2002), a Masters in Information Technology Management from University of Sunderland-UK (2006) and a Doctorate in Information Technology from JKUAT (2012). At present, he is the Associate Chairman, Department of Information Technology; JKUAT-Westlands Campus.Dr.Kimwele has authored a commendable number of research papers in international/national conference/journals and also supervises postgraduate students in Computer Science/Information Technology. His research interests include Information systems management, Information Technology Security, Electronic Commerce, Mobile Computing, Social implications of computer applications, Human Computer Interaction, and Computer Ethics.
