[PDF][PDF] A survey of sequential pattern mining

P Fournier-Viger, JCW Lin… - Data Science and …, 2017 - philippe-fournier-viger.com
Discovering unexpected and useful patterns in databases is a fundamental data mining task.
In recent years, a trend in data mining has been to design algorithms for discovering …

Efficient algorithms to identify periodic patterns in multiple sequences

P Fournier-Viger, Z Li, JCW Lin, RU Kiran, H Fujita - Information Sciences, 2019 - Elsevier
Periodic pattern mining is a popular data mining task, which consists of identifying patterns
that periodically appear in data. Traditional periodic pattern mining algorithms are designed …

Learning analytics for monitoring students participation online: Visualizing navigational patterns on learning management system

LKM Poon, SC Kong, TSH Yau, M Wong… - Blended Learning. New …, 2017 - Springer
With the increasing use of blended learning approaches in classroom, various kinds of
technologies are incorporated to provide digital teaching and learning resources to support …

High Utility Periodic Frequent Pattern Mining in Multiple Sequences.

CM Chen, Z Zhang, J Ming-Tai Wu… - … in Engineering & …, 2023 - search.ebscohost.com
Periodic patternmining has become a popular research subject in recent years; this
approach involves the discovery of frequently recurring patterns in a transaction sequence …

Relationship between learner profiles and learner–content interaction in online learning: Exploring implications for learning experience design

A Ozturk, AT Kumtepe - Distance Education, 2023 - Taylor & Francis
The current study explored the relationship between learner profiles and the nature of their
interaction with content in massive, open, and online learning environments. The research …

Estimation of ICAP States Based on Interaction Data During Collaborative Learning

Y Ohmoto, S Shimojo, J Morita… - Journal of …, 2024 - jedm.educationaldatamining.org
The primary goal of this study is to investigate a method for estimating the state of learners in
the near future using nonverbal information used in multimodal interaction as cues to …

Mining sequential patterns of students' access on learning management system

LKM Poon, SC Kong, MYW Wong, TSH Yau - Data Mining and Big Data …, 2017 - Springer
Novel pedagogical approaches supported by digital technologies such as blended learning
and flipped classroom are prevalent in recent years. To implement such learning strategies …

Clustering of tourist routes for individual tourists using sequential pattern mining

GH Lee, HS Han - The Journal of Supercomputing, 2020 - Springer
Grou** individual tourists who have the same or similar tourist routes over the same time
period makes it more convenient for the tourists at a low cost by providing transportation …

Totally-ordered sequential rules for utility maximization

C Zhang, M Lyu, W Gan, PS Yu - ACM Transactions on Knowledge …, 2024 - dl.acm.org
High-utility sequential pattern mining (HUSPM) is a significant and valuable activity in
knowledge discovery and data analytics with many real-world applications. In some cases …

Mining Moodle logs for grade prediction: a methodology walk-through

Á Figueira - Proceedings of the 5th International Conference on …, 2017 - dl.acm.org
Research concerning mining data from learning management systems have been
consistently been appearing in the literature. However, in many situations there is not a clear …