Effective Extraction of Small Data from Large Database by using Data mining Technique [ ]


The demand for extracting meaningful patterns in various applications is very necessary. Data mining is the process of automatically extracting meaningful patterns from usually very large quantities of seemingly unrelated data. When used in conjunction with the appropriate visualization tools, data mining allows the researcher to use highly advanced pattern-recognition skills and knowledge of molecular biology to determine which results warrant further study. Data mining is an automated means of reducing the complexity of data in large bioinformatics databases and of discovering meaningful, useful patterns and relationships in data. Data mining is one stage in an overall knowledge-discovery process. It is an iterative process in which preceding processes are modified to support new hypotheses suggested by the data. The process of data mining is concerned with extracting patterns from the data, typically using classification, regression, link analysis, and segmentation or deviation detection.