[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 …
A survey of utility-oriented pattern mining
W Gan, JCW Lin, P Fournier-Viger… - … on Knowledge and …, 2019 - ieeexplore.ieee.org
The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
Tri-partition state alphabet-based sequential pattern for multivariate time series
Recently, the advancement of cognitive computing and three-way decisions has enabled in-
depth sequential pattern understanding through temporal association analysis. The main …
depth sequential pattern understanding through temporal association analysis. The main …
Efficient algorithms for mining top-k high utility itemsets
High utility itemsets (HUIs) mining is an emerging topic in data mining, which refers to
discovering all itemsets having a utility meeting a user-specified minimum utility threshold …
discovering all itemsets having a utility meeting a user-specified minimum utility threshold …
Fast utility mining on sequence data
W Gan, JCW Lin, J Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
High-utility sequential pattern (HUSP) mining is an emerging topic in the field of knowledge
discovery in databases. It consists of discovering subsequences that have a high utility …
discovery in databases. It consists of discovering subsequences that have a high utility …
ProUM: Projection-based utility mining on sequence data
Utility is an important concept in Economics. A variety of applications consider utility in real-
life situations, which has lead to the emergence of utility-oriented mining (also called utility …
life situations, which has lead to the emergence of utility-oriented mining (also called utility …
On efficiently mining high utility sequential patterns
JZ Wang, JL Huang, YC Chen - Knowledge and Information Systems, 2016 - Springer
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to
identify sequences with high utilities (eg, profits) but probably with low frequencies. To …
identify sequences with high utilities (eg, profits) but probably with low frequencies. To …
An efficient algorithm for mining high utility patterns from incremental databases with one database scan
High utility pattern mining has been actively researched as one of the significant topics in the
data mining field since this approach can solve the limitation of traditional pattern mining that …
data mining field since this approach can solve the limitation of traditional pattern mining that …
CRoM and HuspExt: Improving efficiency of high utility sequential pattern extraction
High utility sequential pattern mining has been considered as an important research
problem and a number of relevant algorithms have been proposed for this topic. The main …
problem and a number of relevant algorithms have been proposed for this topic. The main …
Privacy preserving utility mining: a survey
W Gan, J Chun-Wei, HC Chao… - … Conference on Big …, 2018 - ieeexplore.ieee.org
In big data era, the collected data usually contains rich information and hidden knowledge.
Utility-oriented pattern mining and analytics have shown a powerful ability to explore these …
Utility-oriented pattern mining and analytics have shown a powerful ability to explore these …