Swarm Intelligence for Data Mining
Razieh Sheikhpour · 2022
Data mining is the process of using intelligent methods to extract interesting patterns from data. Association rule mining and clustering are very important tasks in the field of data mining research and have some challenges that can be solved using the optimization-based methods. Swarm intelligence (SI) based optimization algorithms have been extensively used for extracting association rules and clustering. The best most well-known SI-based algorithms for association rule mining and clustering are particle swarm optimization (PSO), ant colony optimization (ACO) and artificial bee colony (ABC). This chapter reviews the role of SI-based algorithms in the data mining tasks including association rule mining and clustering. This chapter begins with an overview of swarm intelligence with an emphasis on PSO, ACO and ABC algorithms. It also provides an introduction on the association rule mining and clustering as the main important tasks in data mining and presents an overview of the SI-based algorithms for these tasks.