DocumentCode
256753
Title
Analysis of Enterprise User Behavior on Hadoop
Author
Gang He ; Siying Ren ; Decheng Yu ; Xiaochun Wu
Author_Institution
Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
2
fYear
2014
fDate
26-27 Aug. 2014
Firstpage
230
Lastpage
233
Abstract
In the past few years, the network is an essential part in human´s life. More and more people choose shopping, chatting and video online. All the online activities produce tons of data which contain our behavior characteristics. Traditional data analyses just focus on one kind of feature, while they neglect the behavior information generated by merging multiple features. Based on the basic data set, this paper provides a new method for analyzing data, called Compound Session. After acquiring the Compound Session data, we continue to process data from the perspective of enterprise user and produce three types of analysis tables. Due to huge amounts of data from more than two thousand enterprises, we propose to process data on the cloud computing platform called Hadoop.
Keywords
cloud computing; data analysis; Hadoop; behavior characteristics; behavior information; cloud computing platform; compound session; data analysis; enterprise user behavior; online activity; Algorithm design and analysis; Compounds; Downlink; Internet; Real-time systems; Speech; Uplink; Compound Session; enterprise user´s behavior; host analytics; mapreduce;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4956-4
Type
conf
DOI
10.1109/IHMSC.2014.158
Filename
6911489
Link To Document