UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 10
October-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1510008


Registration ID:
150827

Page Number

43-50

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Title

String Transformation-A Query based Approach

Abstract

Data mining is the process of analyzing data from different perspectives and it is a powerful area, which computerizes the process of searching valuable information from a large database. Its wide range of applications promises a future, where the data grow rapidly. Many problems in natural language processing, data mining, information retrieval, and bioinformatics can be formalized as string transformation. Proposed system implements string transformation in data mining field with the help of selected algorithms. String transformation includes a set of operators to transform a given string into most likely output strings. Insertion, deletion, transposition, and substitution are the operators for transformation. Transformation rules and predefined rule indexes are used here to avoid unwanted searches and time delay. Here the users can view the formation of possible outcomes from the given string. Another important feature is query reformulation. By using efficient methods, proposed system can introduce query reformulation with useful description about the given query. Query reformulation is also a transformation technique and it deals with the term mismatch problem. Here similar query pairs can mine from training data. Proposed system tries to transform a given query to original query and therefore make a better match between the query and the document and also act as a library, which give a brief description about books of authors.

Key Words

String transformation, query reformulation.

Cite This Article

"String Transformation-A Query based Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 10, page no.43-50, October-2015, Available :http://www.jetir.org/papers/JETIR1510008.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"String Transformation-A Query based Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 10, page no. pp43-50, October-2015, Available at : http://www.jetir.org/papers/JETIR1510008.pdf

Publication Details

Published Paper ID: JETIR1510008
Registration ID: 150827
Published In: Volume 2 | Issue 10 | Year October-2015
DOI (Digital Object Identifier):
Page No: 43-50
Country: THIRUVANANTHAPURAM, KERALA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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