Algorithms for frequent itemset mining: a literature review

• Main Authors: Chee, C.-H., Jaafar, J., Aziz, I.A., Hasan, M.H., Yeoh, W.
• Format: Article
• Published: Springer Netherlands 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044354882&doi=10.1007%2fs10462-018-9629-z&partnerID=40&md5=d5dab1484f453370f2c1f95dc2aadade; http://eprints.utp.edu.my/21676/

Data Analytics plays an important role in the decision making process. Insights from such pattern analysis offer vast benefits, including increased revenue, cost cutting, and improved competitive advantage. However, the hidden patterns of the frequent itemsets become more time consuming to be mined...