Title :
An intuitive framework for understanding changes in evolving data streams
Author :
Aggarwal, Charu C.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Abstract :
Many organizations today store large streams of transactional data in real time. This data can often show important changes in trends over time. In many commercial applications, it may be valuable to provide the user with an understanding of the nature of changes occuring over time in the data stream. In this paper, we discuss the process of analysing the significant changes and trends in data streams in a way which is understandable, intuitive and user-friendly
Keywords :
data analysis; data communication; information storage; real-time systems; temporal databases; transaction processing; commercial applications; evolving data stream changes; intuitive framework; real-time data storage; transactional data streams; trend analysis; user understanding; user-friendliness; Data engineering; Data mining; Distributed computing; Kernel; Size measurement; Transaction databases;
Conference_Titel :
Data Engineering, 2002. Proceedings. 18th International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-7695-1531-2
DOI :
10.1109/ICDE.2002.994715
