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
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;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.158