Informatics Publishing Limited

Julius O. Okesola ¹, Oluwafemi S. Ogunseye ², Kazeem I. Rufai ¹, Olusegun Folorunso ²

Affiliations
1 Department of Computer & Information Sciences, Tai Solarin University of Education, Ijebu-Ode, Ogun State, NG
2 Department of Computer Science, University of Agriculture, Abeokuta, Ogun State, NG

Abstract

Intelligent e-voting data has been shown to pose a lot of benefit to e-voting especially in the area of security and recounting. After the election and balloting processes, valuable knowledge can still be extracted from this data. This work provides a framework model as roadmap for developers to follow in future development of such a system. The Perl based sample tested showed optimum performance and hence proves the viability of the methodology.

Keywords

Text Mining, e-Voting, Knowledge Extraction, Data Mining, Semantic Data, Tree Traversal.

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Olusegun Folorunso ¹, Lateef O. Yusuf ¹, Julius O. Okesola ²

Affiliations
1 Department of Computer Science, University of Agriculture, Abeokuta, NG
2 Departments of Computer and Information Science, Tai Solarin University of Education, Ijebu-Ode, NG

Abstract

With the increase of complexity in Real-time Database Systems (RTDBS), the amount of data that needs to be managed has also increased. Adoption of a RTDBS as a tightly integrated part of the SOA development process can give significant benefits with respect to data management. However, the variability of data management requirements in different systems, and its heterogeneity may require a distinct database configuration. We addressed the challenges that face RTDB managers who intend to adopt RTDBS in SOA market; we also introduce a service oriented approach to RTDBS analytics and describe how this is used to measure and to monitor the security system. A SOA approach for generating RTDBS configurations suitable for resource-constrained real-time systems using Service Oriented Architecture tools to assist developers with design and analysis of services of developed or new systems was also explored.

Keywords

Service Oriented Architecture, Real Time Database Systems.

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Olusegun Folorunso ¹, Adesina Temitayo Bello ¹, Adesina S. Sodiya ¹, Lateef O. Yusuf ¹

Affiliations
1 Department of Computer Science, University of Agriculture, Abeokuta, NG

Abstract

The present visual analytics query system that is being used to process large quantities of information with complex analytic reasoning processes does not support intelligent selection of best visual display and task analysis. In this paper , Knowledge-Based Visual Analytics Query System (KBVAQS) architecture was designed to support and correct the challenges. The architecture consists of three main parts which include the application layer, logic layer and back layer. These parts were used for querying and displaying data graphically based on User request. In the application layer, the administrator and ordinary users interact directly with the system through the user interface provided by the system. Graphical display based on the decision table is provided and some task analyses are given for the user to interpret. The logic layer handled the full functionality of the implementation while the back layer was used for record keeping. The implementation was achieved by employing object oriented programming language C-Sharp with the data base created in Microsoft Structured Query Language. The effectiveness of KBVAQS tool has been evaluated in surveys carried out at the Nigerian Stock Exchange which deals with stock markets. It shows that users generally viewed KBVAQS tools more positively than using existing Intelligent Visual Query Algorithm (IVQA) technique. These differences were significant to p<0.05. The mean interactions precision and calculated value using expert judge relevance rating show a significant difference between KBVAQS tool and IVQA performance 2.47 against 1.73 for precision with calculated t=6.33. The hypothesis testing revealed that KBVAQS user performed better and achieved acceptable results.

Keywords

Visual Analytics, Knowledge-Based Systems, Query System, Usability Testing, Relationships.

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