A Survey of High Utility Pattern Mining Algorithms for Big Data

Morteza Zihayat, Mehdi Kargar, Jaroslaw Szlichta
January 2019

Abstract

This survey provides a comprehensive overview of high utility pattern mining algorithms for big data, covering theoretical foundations and practical applications.

Type
Inbook
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.

Survey High Utility Pattern Mining Big Data Pattern Mining Algorithms
Morteza Zihayat
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.