Online Mining of Changes from Data Streams: Research Problems and Preliminary Results

Authors

Guozhu Dong, Wright State University - Main CampusFollow
Jiawei Han
Laks V.S. Lakshmanan
Jian Pei
Haixun Wang
Philip S. Yu

Document Type

Article

Publication Date

6-8-2003

Abstract

As data streams are gaining prominence in a growing number of emerging applications, advanced analysis and mining of data streams is becoming increasingly important. While there are some recent studies on mining data streams, we would like to ask the following essential question: What are the distinct features of mining data streams compared to mining other kinds of data? In this paper, we take the following position: online mining of the changes in data streams is one of the core issues. We propose some interesting research problems and highlight the inherent challenges. Moreover, we sketch some preliminary results.

Comments

Presented at the Center for Discrete Mathematics & Theoretical Computer Science Workshop on Management and Processing Data Streams, San Diego, CA, June 8, 2003.

Repository Citation

Dong, G., Han, J., Lakshmanan, L. V., Pei, J., Wang, H., & Yu, P. S. (2003). Online Mining of Changes from Data Streams: Research Problems and Preliminary Results. .
https://corescholar.libraries.wright.edu/knoesis/316