A Survey of High Utility Pattern Mining Algorithms for Big Data
Abstract
This survey provides a comprehensive overview of high utility pattern mining algorithms for big data, covering theoretical foundations and practical applications.
Type
Publication
High-Utility Pattern Mining: Theory, Algorithms and Applications
This comprehensive survey covers the state-of-the-art in high utility pattern mining for big data applications.
Morteza Zihayat
Principal Investigator
Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.