Detailed Survey on Data Mining

Data mining is a term usually applied to techniques that can be used to find underlying structure and relationships in large amounts of data. These techniques are drawn primarily from the related fields of neural networks, statistics, pattern classification, and machine learning. They are becoming more important as computer automation spreads and as the processing and storage capabilities of computers increase. Organizations which maintain huge collection of data are facing problems while extracting the data patterns from large data sets. Sometimes the obtained data is not correct and secure. The main goal of this research is to implement efficient algorithms and techniques to overcome these issues. By these techniques we can minimize the problems of handling high speed data streams and correctness; security can obtained to maximum extent. There will be a general solution for various data mining problems. Using of Ad-hoc techniques is going to be reduced.