Survey on the current status of serial and parallel algorithms of frequent intemset mining

• Main Authors: Uy, Roger Luis, Suarez, Merlin Teodosia C.
• Format: text
• Published: Animo Repository 2015
• Subjects: Data mining; Electronic data processing—Distributed processing; Parallel algorithms; Computer Engineering; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/12623
• Institution: De La Salle University

Frequent itemset mining is one of the fundamental but time-demanding tasks in data mining. It is used to find frequent patterns and generate association rules for these patterns. With the availability of inexpensive storage and progress in data capture technology, the volume of data has reached ex...