Modified Improved Apriori Algorithm for Reduced Time Complexity

• Published in: 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 pp. 1 - 5
• Main Authors: Tiwari, Geeta, Dubey, Shirish Mohan, Sharma, Gaurav, Bansal, Apporva
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.04.2025
• Subjects: Approximation algorithms; Enhanced Apriori Algorithm; Frequent item Introduction; Frequent Pattern Mining; Itemsets; Machine learning; Machine learning algorithms; Multicore processing; Parallel Computing; Parallel processing; Program processors; Runtime; Technological innovation; Time complexity; Transactional Dataset

In today's era, transactional datasets are ubiquitous and continue to grow in size, making it increasingly challenging to mine frequent itemsets efficiently. The Apriori algorithm is a well-known method for mining frequent itemsets, but it suffers from high time complexity as the size of the da...