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
Link To Document :
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