Flight crash investigation using data mining techniques

Data mining refers to extraction of information from huge chunks of the dataset. It's also called information mining. It is exercised in numerous fields like medicine, environment, education, crime, etc. In this research work crash investigation and analysis of the flights are done. Flight crashes may be caused due to pilot error, mechanical failure, bad weather, sabotages or human error. This research paper investigates international flight crashes since 1908 to 2009 through K-Means clustering data mining technique and cosine similarity. Clustering helps to put objects into the same group. Cosine similarity measure helps in finding similarity among different texts. The research work is done for identifying aboard/ground fatality rate with operators and location as well as to find similarity among the plane crashes.