A Review Paper on Various Data Mining Techniques

Presently, a very large amount of data stored in databases is increasing at a tremendous speed. This requires a need for new techniques and tools to aid humans in automatically and intelligently analyzing large data sets to acquire useful information. This growing need gives a view for a new research field called Knowledge Discovery in Databases (KDD) or Data Mining, which attract a attention from researchers in many different fields including database design, statistics, pattern recognition, machine learning, and data visualization. Data mining is the process of discovering insightful, interesting, and novel patterns, as well as descriptive, understandable and predictive models from large-scale data. In this paper we overviewed different tasks includes in Data mining. Data mining involves the tasks like anomaly detection, classification, regression, association rule learning, summarization and clustering.