Data Mining Technique Analysis and Strategic Decision Support System for Students to Assist in Their Career

Abstract

Data is the most critical part of any business or organization. Along with its importance, the amount of data also increasing at a very high speed. The data can be proved very important as far as business decision and growth is concerned. The data, if focused and processed with suitable techniques, then it can be proved the strongest reason for the growth of the business. newlineData and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information. newlineIn recent years, data mining has become an essential component in various fields of human life because it can extract knowledge or information from the large data repositories. Data mining applications such as machine learning, artificial intelligence, pattern recognition, classification and prediction, etc., have enriched various fields of human life such as business, education, medical science and many more. newlineData mining is the process of extraction of interesting (nontrivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data [1]. It is the set of activities used to find new, hidden or unexpected patterns in data or unusual patterns in data. Data mining techniques are analysis tool that can be used to extract meaningful knowledge from large data repositories.Along with many other business and areas, education is the another rising field which has evolved as an extra ordinary utilization of such data mining technique. Large amount of data is being generated and gathered by education institutions and this data is being stored for future use. The raw data is equally important for the growth of the educational institutes if it is processed and analyzed with some important techniques. Such data can be used by aneducational institute for the prediction, classification, clustering, etc., for enhancement of overall academics. newlineIn this competitive environment, the higher educ