Large language models in education: Vision and opportunities
W Gan, Z Qi, J Wu, JCW Lin - 2023 IEEE international …, 2023 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, large language models
(LLMs) have become a hot research topic. Education plays an important role in human …
(LLMs) have become a hot research topic. Education plays an important role in human …
Preserving Privacy in Association Rule Mining Using Metaheuristic-Based Algorithms: A Systematic Literature Review
The current state of Association Rule Mining (ARM) technology is heading towards a critical
yet profitable direction. The ARM process uncovers numerous association rules, determining …
yet profitable direction. The ARM process uncovers numerous association rules, determining …
Internet of behaviors: A survey
The Internet of Behavior (IoB) is a research theme that aims to analyze human behavior data
on the Internet from the perspective of behavioral psychology, obtain insights about human …
on the Internet from the perspective of behavioral psychology, obtain insights about human …
Privacy-preserving federated mining of frequent itemsets
In the growing concerns about data privacy and increasingly stringent data security
regulations, it is not feasible to directly mine data or share data if the dataset contains private …
regulations, it is not feasible to directly mine data or share data if the dataset contains private …
Frequent itemset mining with local differential privacy
With the development of the Internet, a large amount of transaction data (eg, shop**
records, web browsing history), which represents user data, has been generated. By …
records, web browsing history), which represents user data, has been generated. By …
MCoR-Miner: Maximal co-occurrence nonoverlap** sequential rule mining
Y Li, C Zhang, J Li, W Song, Z Qi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The aim of sequential pattern mining (SPM) is to discover potentially useful information from
a given sequence. Although various SPM methods have been investigated, most of these …
a given sequence. Although various SPM methods have been investigated, most of these …
Targeted mining of top-k high utility itemsets
S Huang, W Gan, J Miao, X Han… - … Applications of Artificial …, 2023 - Elsevier
Finding high-importance patterns in data is an emerging data mining task known as High-
utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts all …
utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts all …
ONP-Miner: One-off negative sequential pattern mining
Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike
positive SPM, negative SPM can discover events that should have occurred but have not …
positive SPM, negative SPM can discover events that should have occurred but have not …
Mining high-utility sequences with positive and negative values
X Zhang, F Lai, G Chen, W Gan - Information Sciences, 2023 - Elsevier
Sequence pattern discovery is a fundamental topic in the domain of data mining. It has been
widely used to solve various problems (eg, behavior pattern discovery, gene pattern …
widely used to solve various problems (eg, behavior pattern discovery, gene pattern …
Towards utility-driven contiguous sequential patterns in uncertain multi-sequences
In data mining, high-utility sequential pattern mining (HUSPM) focuses more on the specific
values of items than on their frequency, making it more practical in real-life scenarios …
values of items than on their frequency, making it more practical in real-life scenarios …