A Comprehensive Study of Data Mining and Application
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 1
Abstract
Data mining refers to extracting or ―mining‖ knowledge from large amounts of data. Data mining involves an integration of techniques from multiple disciplines such as database technology, statistics, machine learning, high performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis. Data mining applications can use a variety of parameters to examine the data. They include association, sequence or path analysis, classification, clustering and forecasting. An application compared to other data analysis applications such as structured queries or statistical analysis software. Illustration of the data mining application that offer opportunities for research. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. In this paper present a comprehensive study for data mining, models, issue, and focuses its application.
Authors and Affiliations
Dheeraj Agrawal
Keywords
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