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[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 …
In recent years, a trend in data mining has been to design algorithms for discovering …
Efficient algorithms to identify periodic patterns in multiple sequences
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 …
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
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 …
technologies are incorporated to provide digital teaching and learning resources to support …
High Utility Periodic Frequent Pattern Mining in Multiple Sequences.
Periodic patternmining has become a popular research subject in recent years; this
approach involves the discovery of frequently recurring patterns in a transaction sequence …
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
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 …
interaction with content in massive, open, and online learning environments. The research …
Estimation of ICAP States Based on Interaction Data During Collaborative Learning
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 …
the near future using nonverbal information used in multimodal interaction as cues to …
Mining sequential patterns of students' access on learning management system
Novel pedagogical approaches supported by digital technologies such as blended learning
and flipped classroom are prevalent in recent years. To implement such learning strategies …
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 …
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 …
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 …
consistently been appearing in the literature. However, in many situations there is not a clear …