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Abstract
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Article Information:
Expertised String Mining in Outsized Databases and Hefty Files
K. Geetha Rani, Shobhanjaly P. Nair, P. Visu and S. Koteeswaran
Corresponding Author: K. Geetha Rani
Submitted: February 22, 2014
Accepted: April 09, 2014
Published: June 20, 2014 |
Abstract:
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In the last few decades data mining is one of the important research areas in data maintenance of computing. In computing world, plentiful algorithms are proposed for mining. The few applications of data mining are web mining, video mining, knowledge mining and string mining. In these applications, string mining is focused and concentrated to overcome the space allocation process. To overcome the drawback suffered by the space allocation process Efficient String Mining (ESM) algorithm is proposed. The ESM algorithm performs operation faster, helps in reducing the space allocation, which in turn improves the performance of string mining and it is also possible to locate patterns that recurrent in the string database or file with a given support.
Key words: Data Mining, string mining, suffix array, suffix tree, text mining, ,
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Cite this Reference:
K. Geetha Rani, Shobhanjaly P. Nair, P. Visu and S. Koteeswaran, . Expertised String Mining in Outsized Databases and Hefty Files. Research Journal of Applied Sciences, Engineering and Technology, (23): 5063-5067.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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