Social network analysis of popular YouTube videos via vertical quantitative mining
AGM Pazdor, CK Leung, TJ Czubryt… - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
Frequent itemset (or frequent pattern) mining is a technique used in big data mining to
discover frequently occurring sets of items (such as popular co-purchased merchandise) …
discover frequently occurring sets of items (such as popular co-purchased merchandise) …
Q-Eclat: vertical mining of interesting quantitative patterns
TJ Czubryt, CK Leung, AGM Pazdor - Proceedings of the 26th …, 2022 - dl.acm.org
Frequent pattern mining is a popular technique in big data mining and analytics. It discovers
frequently occurring sets of items (eg, popular merchandise items, frequently co-occurring …
frequently occurring sets of items (eg, popular merchandise items, frequently co-occurring …
Effectively and efficiently supporting predictive big data analytics over open big data in the transportation sector: a Bayesian network framework
Today, various types of valuable data can be collected with ease and at a rapid pace. In
recent years, many governments, researchers, and organizations have been driven by open …
recent years, many governments, researchers, and organizations have been driven by open …
Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder
Sequential pattern mining is a dynamic and thriving research field that aims to extract
recurring sequences of events from complex datasets. Traditionally, focusing solely on the …
recurring sequences of events from complex datasets. Traditionally, focusing solely on the …