Big data analytics-A review of data-mining models for small and medium enterprises in the transportation sector <s> Data Mining in Transportation Sector <s> This paper presents an application of data mining on aviation incident data in order to predict the level of incidents' seriousness. Every incident can be seen as a problem that must be avoided or at least minimized its consequences. In aviation industry we can identify several interesting tasks that can be solved by means of data mining methods, e.g. prediction of important meteorological phenomena as fog or low clouds; prediction of potential incidents or problem situations etc. In our case we used public dataset from Federal Aviation Administration Accident/Incident Data System containing more than 22 thousand records from the period between years 2000 and 2013. Our goal was to generate a prediction model that will be able to identify possible risk situations based on significant input factors extracted from dataset with the best possible accuracy. This paper describes the whole process as well as the very good results that we achieved. Our model can be further used to reduce the number of incidents with fatal/death consequences. <s> BIB001 </s> Big data analytics-A review of data-mining models for small and medium enterprises in the transportation sector <s> Data Mining in Transportation Sector <s> Over the past few decades, with the development of automatic identification, data capture and storage technologies, people generate data much faster and collect data much bigger than ever before in... <s> BIB002
In the area of transportation, there have been several pieces of research developing novel approaches for traffic management, motorist and commuter safety, transport mobility, road accident management and much more -with the application of DM. Table 2 is a compilation of applications of DM in the transportation sector. The 34 34 to predict potential incidents and implications BIB001 . From the compilation of DM application in the transportation sector,  [38] [39] . On the types of data used, the majority of the enterprises are leveraging on their historical data for data processing and analysing. The data is in the form of structured data -referring to data that are organised in a relational database that is structured in columns (fields) and rows (record) BIB002 . On a different note, one key prominent finding derived from Table 2 indicates that little is known of research studies on SMEs in the transportation sector.