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Abstract
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Article Information:
Machine Learning Technique Based Annotation in Web Database Search Result Records with Aid of Modified K-Means Clustering (MKMC)
V. Sabitha and S.K. Srivatsa
Corresponding Author: V. Sabitha
Submitted: October 05, 2014
Accepted: January 23, 2015
Published: July 20, 2015 |
Abstract:
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To reduce the memory usage and increase the speed of access in web database, in this study, we have introduced a machine learning technique based annotation with the help of modified K-means clustering algorithm to increase the speed of search result records in web database. The proposed AI based annotation method includes four stages namely, alignment phase, Score Calculation, annotation phase and annotation wrapper generation phase. These four stages of the proposed part are spelt out in this study. The proposed technique is competent to effectively reduce the memory and increase the speed of access in a website. The proposed method is implemented in the working platform of java and the results are analyzed.
Key words: Annotation, modified K-means clustering, score calculation, wrapper generation, , ,
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Abstract
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Cite this Reference:
V. Sabitha and S.K. Srivatsa, . Machine Learning Technique Based Annotation in Web Database Search Result Records with Aid of Modified K-Means Clustering (MKMC). Research Journal of Applied Sciences, Engineering and Technology, (8): 853-862.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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