EFFICIENT XML DATA EXTRACTION USING FMADM
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 2015, Vol 4, Issue 12
Abstract
In now day’s data retrieval is the main focusing term in web data extraction. The process of XML data extraction in real time using search engines like Google, Ask, Bing and Yahoo etc. The RDBMS has some central methods to perform searching mechanism in real time data sets, but RDBMS is not suitable for XML data extraction. XQuery path language is the main methodology for Lowest Common Ancestors for implementing fuzzy type operations with XML data extraction. Fuzzy relational data extraction is very expensive of minimal cost. In fuzzy relational data extraction retrieving data becomes very complex while multiple number of attributes queried processing on XML data. In this paper, we propose to suggest FMADM (Fuzzy Multi Attribute Decision Making) for extracting multi attribute XML data. We plan for results with multi attribute features in central method issues with weighted queries. Our experimental results show efficient XML data extraction in real time data sets.
Authors and Affiliations
G. Gowtam Kumar*
Keywords
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