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