activity
20182022
most citedA Survey of Utility-Oriented Pattern Mining

257 citations · 919 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2022★ 1 cited

Itemset Utility Maximization with Correlation Measure

Jiahui Chen, Yixin Xu, Shicheng Wan +2

As an important data mining technology, high utility itemset mining (HUIM) is used to find out interesting but hidden information (e.g., profit and risk). HUIM has been widely appl…

cs.DB2019★ 9 cited

Fast Utility Mining on Complex Sequences

Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang +3

High-utility sequential pattern mining is an emerging topic in the field of Knowledge Discovery in Databases. It consists of discovering subsequences having a high utility (importa…

cs.DB2019★ 47 cited

Correlated Utility-based Pattern Mining

Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +2

In the field of data mining and analytics, the utility theory from Economic can bring benefits in many real-life applications. In recent decade, a new research field called utility…

cs.DB2019★ 111 cited

ProUM: Projection-based Utility Mining on Sequence Data

Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang +3

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 c…

cs.DB2019★ 33 cited

Utility-driven Data Analytics on Uncertain Data

Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +2

Modern Internet of Things (IoT) applications generate massive amounts of data, much of it in the form of objects/items of readings, events, and log entries. Specifically, most of t…

cs.DB2019★ 9 cited

Beyond Frequency: Utility Mining with Varied Item-Specific Minimum Utility

Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger +2

Utility-oriented mining which integrates utility theory and data mining is a useful tool for understanding economic consumer behavior. Traditional algorithms for mining high-utilit…

cs.DB2019★ 1 cited

Utility Mining Across Multi-Dimensional Sequences

Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang +4

Knowledge extraction from database is the fundamental task in database and data mining community, which has been applied to a wide range of real-world applications and situations.…

cs.DB2018★ 166 cited

HUOPM: High Utility Occupancy Pattern Mining

Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger +2

Mining useful patterns from varied types of databases is an important research topic, which has many real-life applications. Most studies have considered the frequency as sole inte…

cs.DB2018★ 67 cited

Privacy Preserving Utility Mining: A Survey

Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +2

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 t…

cs.DB2018★ 218 cited

A Survey of Parallel Sequential Pattern Mining

Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger +2

With the growing popularity of shared resources, large volumes of complex data of different types are collected automatically. Traditional data mining algorithms generally have pro…

cs.DB2018★ 257 cited

A Survey of Utility-Oriented Pattern Mining

Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger +3

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 iden…