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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
