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