Data Mining is an analytical process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. The overall goal of data mining is to extract information from a dataset and transform it into useful structure for further use. This can help in building new systems and help in decision making in educational system. Data Mining has evolved in the field of education too and its successful techniques have helped to a great extent. In this system, student data was collected with information regarding their academic performances and their final placement and this dataset was used to analyze to predict the final placement by applying decision tree algorithms and clustering techniques using Data Mining tools (WEKA). Here, we have analyzed the academic performance of students to predict the company type whether it is Core IT or Consultancy with accuracy 95% as well as predict the company name whether it is Microsoft, Samsung, Deloitte etc. with accuracy 62%.
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