DocumentCode
2403802
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
fYear
2002
fDate
2002
Firstpage
261
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2002. Proceedings. 18th International Conference on
Conference_Location
San Jose, CA
ISSN
1063-6382
Print_ISBN
0-7695-1531-2
Type
conf
DOI
10.1109/ICDE.2002.994715
Filename
994715
Link To Document