Browsing by Author "Adegun, A. A."
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy(Computational Science and Its Applications – ICCSA 2019, 2019) Oladele, Tinuke Omolewa; Ogundokun, R. O.; Kayode, A. A.; Adegun, A. A.; Adebiyi, M. O.Diabetes Retinopathy is a disease which results from a prolonged case of diabetes mellitus and it is the most common cause of loss of vision in man. Data mining algorithms are used in medical and computer fields to find effective ways of forecasting a particular disease. This research was aimed at determining the effect of using feature selection in predicting Diabetes Retinopathy. The dataset used for this study was gotten from diabetes retinopathy Debrecen dataset from the University of California in a form suitable for mining. Feature selection was executed on diabetes retinopathy data then the Imple mentation of k-Nearest Neighbour, C4.5 decision tree, Multi-layer Perceptron (MLP) and Support Vector Machines was conducted on diabetes retinopathy data with and without feature selection. There was access to the algorithms in terms of accuracy and sensitivity. It is observed from the results that, making use of feature selection on algorithms increases the accuracy as well as the sensitivity of the algorithms considered and it is mostly reflected in the support vector machine algorithm. Making use of feature selection for classification also increases the time taken for the prediction of diabetes retinopathy.Item Development of an inventory management system using association rule(Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 2021) Oladele, Tinuke Omolewa; Ogundokun, R. O.; Adegun, A. A.; Adeniyi, A. E.; Ajanaku, A. T.Stores today still make use of manual approaches to keeping inventory which could be cumbersome. Having a computerized inventory system would make inventory management more efficient and effective. In this chapter, an Inventory Management System using Association Rule was developed which will ensure proper record keeping and keep items in stocks updated. ANGULARJS, a JavaScript framework, was used for the implementation of the system, PHP (hypertext pre-processor) was used for the backend of the system development as well as the database management, HTML was used alongside CSS for the system interface design and NoSQL database was the database used for this research. In conclusion, a computerized inventory system that had been improved using the association rule method was the resulting product useful for creating transactions, updating items in stock, record keeping, generating reports for decision making, and lastly, the system will make the stores more effective.