DocumentCode
2752323
Title
A New Search Result Clustering Using Haar Wavelet Transform
Author
Al-Dubaee, Shawki Abdul Rakib S ; Ahmad, Nesar ; Abdulla, Hussam Dahwa ; Snasel, Vaclav
Author_Institution
Dept. of Comput. Eng., Aligarh Muslim Univ., Aligarh, India
fYear
2009
fDate
3-5 April 2009
Firstpage
653
Lastpage
657
Abstract
In traditional search engines, it is not so easy for users to find relevant Web pages list (snippet) of a given query. Therefore, there is a need to retrieve and find the relevant information in a better way by clustering the search results. This paper presents a new approach for clustering search results using Haar wavelet transform. We explain how uses of Haar wavelet transform offer a reasonably good solution for the above.
Keywords
Haar transforms; query processing; search engines; wavelet transforms; Haar wavelet transform; Web pages list; information retrieval; query; search engines; search result clustering; Clustering algorithms; Computer science; Educational institutions; Indexing; Information retrieval; Metasearch; Search engines; Wavelet analysis; Wavelet transforms; Web pages; cluster analysis; search engine; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication, 2009. ICFCC 2009. International Conference on
Conference_Location
Kuala Lumpar
Print_ISBN
978-0-7695-3591-3
Type
conf
DOI
10.1109/ICFCC.2009.142
Filename
5189864
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