[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 …
USpan: an efficient algorithm for mining high utility sequential patterns
Sequential pattern mining plays an important role in many applications, such as
bioinformatics and consumer behavior analysis. However, the classic frequency-based …
bioinformatics and consumer behavior analysis. However, the classic frequency-based …
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 …
A survey of high utility itemset mining
P Fournier-Viger, J Chun-Wei Lin, T Truong-Chi… - High-utility pattern …, 2019 - Springer
High utility pattern mining is an emerging data science task, which consists of discovering
patterns having a high importance in databases. The utility of a pattern can be measured in …
patterns having a high importance in databases. The utility of a pattern can be measured in …
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 …
HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining
One-off sequential pattern mining (SPM)(or SPM under the one-off condition) is a kind of
repetitive SPM with gap constraints, and has been widely applied in many fields. However …
repetitive SPM with gap constraints, and has been widely applied in many fields. However …
TKUS: Mining top-k high utility sequential patterns
C Zhang, Z Du, W Gan, SY Philip - Information Sciences, 2021 - Elsevier
High-utility sequential pattern mining (HUSPM) has recently emerged as a focus of intense
research interest. The main task of HUSPM is to find all subsequences, within a quantitative …
research interest. The main task of HUSPM is to find all subsequences, within a quantitative …
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 …
Applying the maximum utility measure in high utility sequential pattern mining
Recently, high utility sequential pattern mining has been an emerging popular issue due to
the consideration of quantities, profits and time orders of items. The utilities of subsequences …
the consideration of quantities, profits and time orders of items. The utilities of subsequences …