DocumentCode :
240714
Title :
Modelling on classification and retrieval strategy in map-reduce based IR system
Author :
Shen Gao ; Kai Gao
Author_Institution :
Sch. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
322
Lastpage :
325
Abstract :
Classification is essential to many web applications. Instead of the traditional segmentation as usual, this paper presents a novel non-segment classification approach, which can meet the requirement for big data classification & application. The novel algorithm removes the complicated time consuming segmentation. The experimental results and the analysis show the feasible of the approach. Based on the proposed approach, a map-reduce based distributed IR system is present.
Keywords :
Big Data; information retrieval; pattern classification; big data classification; information retrieval strategy; map reduce based distributed IR system; non-segment classification approach; Analytical models; Classification algorithms; Computational modeling; Containers; Indexing; Servers; Vectors; classification; information retrieval; map-reduce;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2014 Proceedings of the 6th International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICMIC.2014.7020773
Filename :
7020773
Link To Document :
بازگشت