Title :
Research on Hotspot Data in Mobile Broadcasting Based on Data Mining
Author :
Lu, Qiu ; Cheng, Xiao-hui
Author_Institution :
Sch. of Inf. Sci. & Eng., Guilin Univ. of Technol., Guilin, China
Abstract :
Mobile computing is becoming a popular computing method. Data broadcasting, an effective data accessing method, is an important technique to improve the scalability. And hotspot data is the key of data broadcasting. In this article, based on the discovery of hotspot data, the ID3 algorithm with multi-value bias has been improved. A data broadcasting algorithm based on improved NewDtree has been introduced with its improvement proved through experiments.
Keywords :
data mining; mobile communication; mobile computing; radio broadcasting; trees (mathematics); ID3 algorithm; NewDtree; data accessing method; data broadcasting; data mining; hotspot data; mobile broadcasting; mobile computing; Broadcasting; Classification algorithms; Data mining; Decision trees; Mobile communication; Prediction algorithms; Testing; NewDtree; component; data mining; hotspot data; mobile broadcasting;
Conference_Titel :
Web Information Systems and Applications Conference (WISA), 2010 7th
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-8440-9
DOI :
10.1109/WISA.2010.11
