Performance analysis of modified algorithm for finding multilevel association rules

TL;DR

This paper presents a performance analysis of a modified Apriori algorithm designed to efficiently discover multilevel association rules, providing more detailed insights than traditional single-level approaches.

Contribution

The study introduces a new multilevel association rule algorithm based on a modified Fast Apriori, and evaluates its performance in terms of running time.

Findings

The new algorithm effectively finds multilevel association rules.

Performance depends on data complexity and hierarchy levels.

Modified algorithm shows improved efficiency over traditional methods.

Abstract

Multilevel association rules explore the concept hierarchy at multiple levels which provides more specific information. Apriori algorithm explores the single level association rules. Many implementations are available of Apriori algorithm. Fast Apriori implementation is modified to develop new algorithm for finding multilevel association rules. In this study the performance of this new algorithm is analyzed in terms of running time in seconds.