DocumentCode :
694413
Title :
Contrast and study on binary AprioriAll sequence mining algorithm of IOT massive information processing
Author :
Jia Ji ; Wang Yan ; Wenyon Wang ; Zhao Tong
Author_Institution :
Inst. of Inf. & Software Eng., Northeast Normal Univ., Changchun, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
467
Lastpage :
470
Abstract :
This paper introduced the concept and the Technical architecture system of IOT, Analysis the current development of IOT and the relative shortage of relying on technology influences the development of IOT, studied on the technology of data mining applications with IOT massive information processing, improved the original AprioriAll sequence mining algorithm, created a new Binary AprioriAll sequence mining algorithm. The improved algorithm improves the efficiency of the algorithm by reducing the number of sequences in the database.
Keywords :
Internet of Things; data mining; IOT massive information processing; binary AprioriAll sequence mining algorithm; data mining applications; technical architecture system; Algorithm design and analysis; Computer architecture; Data mining; Databases; Information processing; Internet of Things; Data mining; IOT; Massive information processing; Sequence mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967155
Filename :
6967155
Link To Document :
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