Analyzing the Road Traffic and Accidents with Classification Techniques

Data mining is the process of extracting data’s from the database engines. Now a days the road traffic and accidents are main area for the researchers to discover the new problems behind that. It is commonly used in a marketing, inspection, fraud detection and scientific invention. In data mining, machine learning is mainly focused as research which is automatically learnt to recognize complex patterns and make intelligent decisions based on data. Nowadays road accidents are the major causes of death and injuries in this world. Roadway configurations are useful in the development of traffic safety control policy. Spatial data mining is a research area concerned with the identification of interesting spatial patterns from data stored in spatial databases and geographic information systems (GIS). This paper addresses the analysis of spatial and time stamped data of Slovenian traffic accidents which, together with the GIS data, enabled the construction of spatial attributes and the creation of a time-stamped spatial database. Key terms: Mining, road traffic, Data mining, spatial databases