Review of Data Mining Techniques in Environmental System: An Advanced Approach

The emergence of various data mining algorithms and its application to various fields include medical imaging, network traffic analysis, environment system etc. Environment system now a day is the most important area of people’s concern in today’s world since it has daily impact on human beings life. May it be earthquake, soil erosion, deforesting, increasing summer temperature, rain fall density/intensity, flood occurrences and the most important is the impact of all these ES factors to directly and indirectly on the human beings and their behaviour. The capability of data mining algorithms of finding pattern in a data can be applied to Environment System data which is largely distributed, heterogeneous, sparse, multidimensional and heterogeneous. This paper gives a brief survey of essential steps, related algorithms and details processes that deals in designing and dealing with ES data that are essential in development of data mining tool for finding and interpreting patterns in environment system data set. The design process of ES Tool using data mining techniques ranges from processing of rough data sets to transforming it into pattern for analysis.