Single-pass algorithms for mining frequency change patterns with limited space in evolving append-only and dynamic transaction data streams

Hua-Fu Li Hua-Fu Li,Suh-Yin Lee Suh-Yin Lee

doi:10.1109/eee.2004.1287312

Single-pass algorithms for mining frequency change patterns with limited space in evolving append-only and dynamic transaction data streams

Hua-Fu Li Hua-Fu Li, Suh-Yin Lee Suh-Yin Lee

https://doi.org/10.1109/eee.2004.1287312

Copy DOI

Publication Date: Jan 1, 2004

Citations: 30

Affiliation: National Yang Ming Chiao Tung University

#Dynamic Data Streams #Data Streams + Show 8 more

Abstract
Full-Text
Similar Papers

Abstract

We propose an online single-pass algorithm MFC-append (mining frequency change patterns in append-only data streams) for online mining frequent frequency change items in continuous append-only data streams. An online space-efficient data structure called Change-Sketch is developed for providing fast response time to compute dynamic frequency changes between data streams. A modified approach MFC-dynamic (mining frequency change patterns in dynamic data streams) is also presented to mine frequency changes in dynamic data streams. The theoretic analyses show that our algorithms meet the major performance requirements of single-pass, bounded storage, and real time for streaming data mining.

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 call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

Disclaimer: 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.