Browsing by Author "Onyekwelu, Bukola A."
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Item Comparative Empirical Analysis of Female University Enrolment in STEM Courses in the Geopolitical Zones in Nigeria(I.J. Modern Education and Computer Science, 2019) Onyekwelu, Bukola A.Though University enrolment in Nigeria is on the increase, more males than females are still being enrolled today, which varies according to discipline as well as from one geopolitical zone of the country to another. This is more pronounced in Science, Technology, Engineering and Mathematics fields, as female enrolment seems to be higher in the commercial and arts courses than the sciences and engineering. Secondary data were obtained from the Nigerian Bureau of Statistics, based on the Joint Admission and Matriculation Board registrations for a period of 5 years, spanning 2011 to 2015. The data were classified based on the six geopolitical zones in Nigeria, and multivariate data analysis, supported by Multivariate Analysis of Variance was carried out on the data. The results obtained revealed that there is still a wide variance in male and female enrolment in these fields, with male enrolment being significantly higher than that of female candidates. It also revealed that female enrolment varies depending on the geopolitical zone, with female enrolment in Science, Technology, Engineering and Mathematics being generally higher in geographical zones in southern Nigeria compared with those in northern Nigeria. The results obtained were further compared with data obtained from previous researches and the comparison was discussed. In addition, this study offers recommendations on how to encourage more female participation in Science, Technology, Engineering, and Mathematics.Item Pre-Processing of University Webserver Log Files for Intrusion Detection(I. J. Computer Network and Information Security, 2017) Onyekwelu, Bukola A.; Alese, B. K.; Adetunmbi, A. O.Web Server log files can reveal lots of interesting patterns when analyzed. The results obtained can be used in various applications, one of which is detecting intrusions on the web. For good quality of data and usable results, there is the need for data preprocessing. In this research, different stages of data preprocessing were carried out on web server log files obtained over a period of five months. The stages are Data Conversion, Session Identification, Data Cleaning and Data Discretization. Data Discretization was carried out in two phases to take care of data with continuous attributes. Some comparisons were carried out on the discretized data. The paper shows that with each preprocessing step, the data becomes clearer and more usable. At the final stage, the data presented offers a wide range of opportunities for further research. Therefore, preprocessing web server log files provides a standard processing platform for adequate research using web server logs. This method is also useful in monitoring and studying web usage pattern in a particular domain. Though the research covers webserver log obtained from a University domain, and thus, reveals the pattern of web access within a university environment, it can also be applied in e-commerce and any other terrain .Item Prescriptive System for Performance Information Management System(Frontiers in Science, 2012) Akomolafe, T.; Onyekwelu, Bukola A.; Bello, Oniyide A.Information can be briefly defined as processed data. Information is crucial to the success of any organization because it must be exchanged in one form or the other before activities can be carried out. However, too much information can be overwhelming and lead to poor decision-making. Further, as organizations face an ever-growing wave of digital data, they need to analyze that data and make timely decisions to achieve effective management .Formerly, information was viewed simply as a means of expression, they now serve as the foundation for an organization’s effectiveness and efficiency. Additionally, increased pressures to manage information appropriately, communicate it and effectively manage it for increased performance has been the focus of organizations. In today’s organizations, information is much more dynamic than even just a few years ago. Data; which is the raw material for producing information volumes are exploding, generating larger and larger databases, just as business activities are demanding faster response times. It is therefore compelling to evolve a means by which these loosely located data can be gathered, processed and communicated quickly to meet the challenges of modern business demand. In this study, a prescriptive system for designing a performance information management system was carried out. The system describes the methodology for designing a system that efficiently gathers, processes and makes information available to every level of management