International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,October 2017,

Topic : An Analysis of Keyword Search Retrieval Techniques on Multi-Dimensional Datasets

Authors:Mrs. R.Ramya Devi || T.Shanmuga Priya

Abstract:Information retrieval (IR) is the activity of obtaining information resources relevant to an information need from a collection of information resources. Searches can be based on full-text or other content-based indexing. Information retrieval is the most concentrated research field in the real world environment which enables users to retrieve the contents stored in the web. Keyword based search retrieval make ease of this task which can find the most similar information present web source accurate by computing similarity distance between the keywords submitted and the information present on web source. However keyword based similarity finding on multi-dimensional data would be more difficult task which required more computation to be performed. In this analysis work, comparison evaluation of different methodologies that are implemented to perform keyword based search retrieval on multi-dimensional data set has been discussed. Those research methodologies have been discussed based on their working procedures in detail. The different existing research methods are compared in detail based on their merits and demerits. The comparison analysis of research methods are conducted by comparing them with each other in terms of their merits and demerits. From this analysis, efficient research methodology that can perform key word based search retrieval in the flexible and accurate way can be identified in terms of performance improvement..

Keywords: Information retrieval, multi dimension data, Keyword based search, spatial properties.

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DOI: 01.1617/vol4/iss10/pid51829


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ARTICLES PUBLISHED:0521
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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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