Volume : V, Issue : IX, September - 2015

DATA MINING, EXTENSIVE USE IN STATISTICS

Dr. Kishor H Atkotiya

Abstract :

The emerging field of “data mining" is (according to Pregibon (1996)) a blend of statistics, artificial intelligence, and database research. It is projected to be a multibillion dollar industry by the year 2000. I propose the name “statistical methods mining" for the process of developing (and marketing) various maps of the world of statistical knowledge in order to apply to data mining the enormous virtual encyclopedia of statistical knowledge that exists in the literature. I propose that planning modern core, applied, and computational statistical activities should be based on statistical history whose mottos are the purpose of statistical computing is insight not numbers" and the purpose of statistical history is insight (about future influences) not details (of past influences)". The goal of statistical methods mining is to promote the optimum practice of analysis of diverse (possibly massive) data sets by enabling researchers in all fields to be made aware that statisticians have important roles to play to provide expertise about classical and modern statistical methods, theory, practice, applications, and computational techniques for data mining and statistical inference (extraction of information and identification of models from data). Contents of this paper are: 1. Future of statistics is ight, future of statisticians needs planning; 2. W1hat went wrong in the recent history of statistical science; 3. Balancing core research and interdisciplinary research; 4. Statistical education and statistical modeling are analogous iterative cycles; 5. Statistical history was never neglected in past thinking about the future of statistics.

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Article: Download PDF   DOI : 10.36106/ijar  

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Dr.Kishor H Atkotiya Data Mining, Extensive Use in Statistics Indian Journal of Applied Research, Vol.5, Issue : 9 September 2015

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