A support-ordered trie for fast frequent itemset discovery

• Main Authors: LIM, Ee Peng, WOON, Yew-Kwong, NG, Wee-Keong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2004
• Subjects: Association rule mining; Data mining; Data structures; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/123; https://ink.library.smu.edu.sg/context/sis_research/article/1122/viewcontent/Support_ordered_trie_for_fast_frequent_itemset_discovery.pdf
• Institution: Singapore Management University

The importance of data mining is apparent with the advent of powerful data collection and storage tools; raw data is so abundant that manual analysis is no longer possible. Unfortunately, data mining problems are difficult to solve and this prompted the introduction of several novel data structures...