DocumentCode :
3292906
Title :
Backwards Search Algorithm of Double-Sorted Inter-relevant Successive Trees
Author :
Li, Zhuoer ; Zhang, Chenghong ; Hu, Yunfa
Author_Institution :
Dept. of Comput. & Inf. Technol., Fudan Univ., Shanghai
Volume :
5
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
531
Lastpage :
535
Abstract :
Index model and related search algorithms developed upon it are the fundamental issues of information retrieval, data mining and knowledge discovery. Upon doubled-sorted inter-relevant successive tree, a newly full-text index model, this paper develops a search algorithm, which remarkably improves the full-text search efficiency, and demonstrates the advantages of inter-relevant successive trees in index domain.
Keywords :
data mining; information retrieval; tree data structures; backwards search algorithm; data mining; double-sorted interrelevant successive trees; full-text index model; full-text search efficiency; information retrieval; knowledge discovery; Conference management; Costs; Data mining; Fuzzy systems; Image retrieval; Information retrieval; Information technology; Knowledge management; Propulsion; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.569
Filename :
4666582
Link To Document :
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