2010
DOI: 10.18000/ijisac.50080
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Data Mining in Identifying Premium and Regular Gasoline Using Support Vector Machines as Novel Approach for Arson and Fuel Spill Investigation

Abstract: In this work, a novel data mining model based on Support Vector Machines (SVM) for the identification of gasoline types has been investigated and developed. Detection and correct identification of gasoline types during Arson and Fuel Spill Investigation are very important in forensic science. As the number of arson and spillage becomes a common place, it becomes more important to have an accurate means of detecting and classifying gasoline found at such sites of incidence. However, currently only a very few nu… Show more

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