Advanced Data Mining Procedures to Handle a Big Data Set: Research and Researchers’ Direction

  • T Saravanan


The aim of this paper is to brief the advanced research methods (Saravanan, T  2013a) for the LIS researchers as well as data mining procedures when the researchers face a big data set. The opted sample data (5114) comprises the research output of the country GERMANY, one of the developed nations in the field of Artificial Intelligence a subfield of Computer Science during the period 2002-2006. Germany research contributions are showing its status in scientific research. Sufficient records related to the Artificial Intelligence discipline have been captured from INSPEC a product of IEEE to carry out the research. The Sources Journal Articles and Conference Articles have been brought into the circle of the research by using the appropriate key terms. Study helps the researchers to incorporate new experimental designs in research and also keep their research on right track. Further, this study explores the progress of opted country research status in the field of AI. A well sophisticated data mining procedures have been applied to reach this target. This paper may pull the researchers into the boundaries of advanced level data mining, and also keep their research in the right direction. 


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