Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/266676
Title: Personalized multi keyword search for information retrieval and organizing based on clustering and optimization techniques
Researcher: Sujatha R
Guide(s): Padma T
Keywords: Clustering
Engineering and Technology,Computer Science,Computer Science Information Systems
Optimization Techniques
University: Anna University
Completed Date: 2018
Abstract: Rapid increase of Information technologies has generated huge volume of structured and unstructured data which makes searching the information more challenging. Even though large volumes of data are available, easy access of the required information at the exact time in the most relevant form is still difficult. Searching is the widely used technique to retrieve relevant documents. Current methods are lacking in producing of accurate results due to mismatch problem, match irrelevance and fail to generate highly relevant results. As a result there is a need of effective tools, to be developed to handle these massive data. Keyword search is the leading information retrieval method for searching information. A Keyword is generalized from multiple search documents. Keyword search is a type of search that looks for relevant documents that contain one or more words newlinespecified by the user. It can be used for optimizing a search. Keywords may be any names with descriptions. Multi keyword search is proposed to improve the efficiency of the searching. newline newline
Pagination: xvii,117p.
URI: http://hdl.handle.net/10603/266676
Appears in Departments:Faculty of Science and Humanities

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02_certificates.pdf1.22 MBAdobe PDFView/Open
03_abstract.pdf36.1 kBAdobe PDFView/Open
04_acknowledgement.pdf31.39 kBAdobe PDFView/Open
05_contents.pdf48.81 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf28.18 kBAdobe PDFView/Open
07_chapter1.pdf310.5 kBAdobe PDFView/Open
08_chapter2.pdf153.37 kBAdobe PDFView/Open
09_chapter3.pdf349.25 kBAdobe PDFView/Open
10_chapter4.pdf461.21 kBAdobe PDFView/Open
11_chapter5.pdf549.3 kBAdobe PDFView/Open
12_chapter6.pdf116.93 kBAdobe PDFView/Open
13_references.pdf112.47 kBAdobe PDFView/Open
14_publications.pdf64.16 kBAdobe PDFView/Open
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