DocumentCode :
3315048
Title :
The Study of Application of Multi-label Classification Methods to Type Selection of Mobile Base-Station
Author :
Shi, Wangyang ; Wu, Linlin
Author_Institution :
Anhui Tech. Coll. of Mech. & Electr. Eng., Wuhu, China
fYear :
2012
fDate :
17-19 Aug. 2012
Firstpage :
294
Lastpage :
297
Abstract :
This article introduces a new approach of application of multi-label classification methods to type selection of mobile base-station. In order to construct forecasting model of type selection of mobile base-station, we need to carry on the application of BR, which is one of multi-label classification methods, to automatic type selection on the basis of historical data of base-station construction by resolving data, treating and integrating of classifier. The results indicate that there is a better ability of forecast by adopting our method than that by using traditional method of experience.
Keywords :
data mining; mobile communication; base station construction; classifier; construct forecasting model; historical data; mobile base station; multi label classification methods; type selection; Classification algorithms; Data models; Forecasting; Indexes; Mobile communication; Predictive models; Training; Base-Station Type; Binary Relevance Method; Classification; Data Mining; Multi-label;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
Type :
conf
DOI :
10.1109/ICCIS.2012.352
Filename :
6300494
Link To Document :
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