Data Extraction Of Knowledge From High Volume Of Data Essay

Introduction: Data mining is extraction of knowledge from high volume of data. In this data stream mining experiment, I have used â€Å"sorted.arff† dataset contains 540888 instances and 22 attributes. I have tried two single algorithms and two ensemble algorithms, tested the accidents on road for last 15 years. Weka: Data Mining Software Weka (â€Å"Waikato Environment for knowledge Analysis†) is a collection of algorithms and tools used for data analysis. The algorithms can be applied directly or it can be called using java code, an object oriented programming language. It contains tools for pre-processing, classification, regression, clustering, associating, select attributes and visualization on given dataset. The advantages of using WEKA software is, it is freely available and platform independent. It is simple tool and it can be used by non-specialist of data mining. For testing, it doesn’t need any programming code at all. WEKA can identify .arff file format. 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