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Volume & Issue no: Volume 4, Issue 1, January - February 2015

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Title:
A Survey on improving performance of Information Retrieval System using Adaptive Genetic Algorithm
Author Name:
Prajakta Mitkal, Prof. Ms. D.V. Gore
Abstract:
Abstract Today information retrieval, most probably relevant information retrieval is the centric issue worldwide. Information retrieval can be of any type such as image retrieval, text retrieval and multimedia retrieval and can be retrieved using various search engines. Text retrieval is the common thing in today’s era, but the issue to be discussed is relevance and the performance of the Information Retrieval System. There are numerous techniques and algorithms available for improving the performance of Information Retrieval System such as Ranking Algorithm, relevance feedback, tokenization, etc. Genetic Algorithm is the famous for efficient optimization and robustness motivated from Darwin’s Principle of natural selection and survival using fitness function. Genetic Algorithm can be further extended to Adaptive Genetic Algorithm with Cosine Similarity and Horng & Yeh approach and can be applied on Hadoop Distributed File System. Hadoop Distributed File System with Adaptive Genetic Algorithm may definitely increase the performance of Information Retrieval System. Keywords: Information Retrieval System (IRS), Genetic Algorithm (GA), Adaptive Genetic Algorithm (AGA), Hadoop Distributed File System (HDFS)
Cite this article:
Prajakta Mitkal, Prof. Ms. D.V. Gore , " A Survey on improving performance of Information Retrieval System using Adaptive Genetic Algorithm" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 4, Issue 1, January - February 2015 , pp. 205-209 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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