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20182022
most citedMetaverse: Survey, Applications, Security, and Opportunities

90 citations · 117 across the 10 of their papers we have counts for

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Showing 2019 · cs.DBShow all

8 papers · 2 filters

cs.DB2019★ 1 cited

Discovering High Utility Episodes in Sequences

Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +1

Sequence data, e.g., complex event sequence, is more commonly seen than other types of data (e.g., transaction data) in real-world applications. For the mining task from sequence d…

cs.DB2019

Utility-Driven Mining of Trend Information for Intelligent System

Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +3

Useful knowledge, embedded in a database, is likely to change over time. Identifying recent changes in temporal databases can provide valuable up-to-date information to decision-ma…

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

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

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

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…