This paper gives the current overview of the application of data mining techniques on the haematological and biochemical dataset to predict the occurrence of malaria in children between age zero (0) and five (5).  Malaria has been eradicated from the developed countries but still affecting a large part of the world negatively. A larger percentage of malaria is estimated to affect young children in sub-Sahara Africa.  In order to reduce mortality from paediatric malaria, there should be an efficient and effective prediction method.  In healthcare, data mining is one of the most vital and motivating areas of research with the objective of finding meaningful information from huge data sets and provides an efficient analytical approach for detecting unknown and valuable information in healthcare data.  In this study, a model was built to predict the occurrence of malaria in children between age zero (0) and five (5) years, using decision tree classification algorithms on WEKA workbench tool.  The classification algorithms used are LMT, REPTree, Hoeffding tree and J48. A J48 algorithm was used for building the decision tree model since it has higher accuracy for performance with least error margin.

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Electronic dumping is a global challenge and fortunately majority of these wastes could be recycled can provide an economically viable and healthy environment as well as offer new insights on how potential sources of environmental hazards could be transformed into useful products. In this paper, we present data used during the creation of an automated power outlet system from electronic wastes. Automated power control and distribution systems are important in reducing the cost of energy utilization in homes, offices, and in industrial environment. Usually, as energy utilization increases, the costs increases. The need to prioritize and conserve scarce energy becomes imminent especially in low income earning environments. Often times, the cost of acquisition of such devices may be high. This paper reflects on how components extracted from electronic wastes could be harnessed to produce computercontrolled power outlet system.

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