DATAMINING TECHNIQUE APPLICATION AND FUTURE SCOPE

Computer Enginnering

In the 21st century the human beings are used in the different technologies to adequate in the society . Each and every day the human beings are using the vast data and these data are in the different fields .It may be in the form of documents, may be graphical formats ,may be the video ,may be records (varying array ) .As the data are available in the different formats so that the proper action to be taken. Not only to analyze these data but also take a good decision and maintain the data .As and when the customer will required the data should be retrieved from the database and make the better decision .This technique is actually we called as a data mining or Knowledge Hub or simply KDD(Knowledge Discovery Process).The important reason that attracted a great deal of attention in information technology the discovery of useful information from large collections of data industry towards field of “Data mining” is due to the perception of “we are data rich but information poor”. There is huge volume of data but we hardly able to turn them in to useful information and knowledge for managerial decision making in business. To generate information it requires massive collection of data. It may be different formats like audio/video, numbers, text, figures, Hypertext formats . To take complete advantage of data; the data retrieval is simply not enough, it requires a tool for automatic summarization of data, extraction of the essence of information stored, and the discovery of patterns in raw data. With the enormous amount of data stored in files, databases, and other repositories, it is increasingly important, to develop powerful tool for analysis and interpretation of such data and for the extraction of interesting knowledge that could help in decision-making. The only answer to all above is ‘Data Mining’. Data mining is the extraction of hidden predictive information from large databases; it is a powerful technology with great potential to help organizations focus on the most important information in their data warehouses.Data mining tools predict future trends and behaviors, helps organizations to make proactive knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by prospective tools typical of decision support systems. Data mining tools can answer the questions that traditionally were too time consuming to resolve. They prepare databases for finding hidden patterns, finding predictive information that experts may miss because it lies outside their expectations.Data mining, popularly known as Knowledge Discovery in Databases (KDD), it is the nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases. It is actually the process of finding the hidden information/pattern of the repositories.

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