Mining top-k high utility patterns over data streams
Abstract
This paper presents novel algorithms for mining top-k high utility patterns over data streams, addressing the challenges of real-time pattern discovery in streaming data environments.
Type
Publication
Information Sciences
This work introduces efficient algorithms for discovering high utility patterns in streaming data environments.
Morteza Zihayat
Principal Investigator
Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.