Browsing by Author "Ameen, A.O."
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Item Anomaly Detection in Dataset for Improved Model Accuracy Using DBSCAN Clustering Algorithm(IEEE Nigeria Chapter., 2015-03) Ajiboye, A.R.; Akintola, A.G.; Ameen, A.O.The purity of the dataset used for model construction plays important roles in the accuracy and reliability of model building; outliers are often caused by noisy data as a result of mechanical faults, changes in system behaviour, or due to human error. This is why it is essential to pre-process dataset prior to modelling, in order to differentiate between data that appears normal or abnormal within the sample space. One important reason for removing outliers is to prevent contaminating effect on the dataset which can lead to bad consequences and serious disaster if not removed. An effective measure that automatically clusters outliers in the dataset using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) technique is proposed in this paper. Rapidminer, an open source software tool is used to experiment on some sample dataset and based on the characteristics of these data objects, some clusters are formed which filter out outliers from the dataset being explored. The experimental results from this study show that, the DBSCAN algorithm is a suitable technique for outliers detection and capable of filtering the abnormal data from a combination of noise and normal dataset.Item Simulation of Dynamic System Using Visualization Techniques with Emphasis on Water Cooling Process(Mathematical Association of Nigeria., 2010) Olagunju, Mukaila; Taiwo, A.O; Ameen, A.O.; Mabayoje, M.A.The paper focuses on the development of stimulation in order to test the performance of the modeling that is developed which is based on Newton Law of cooling. The MATLAB program was used to develop the stimulation of Dynamic system in two visualization techniques were compared. With the stimulation that was developed, the rate at which cooling of water was taken place were easily determined. The shape of the Dynamic system was measured with the visualization techniques.