14 citations · 25 across the 6 of their papers we have counts for
11 papers
Discovering Representative Attribute-stars via Minimum Description Length
Jiahong Liu, Min Zhou, Philippe Fournier-Viger +3
Graphs are a popular data type found in many domains. Numerous techniques have been proposed to find interesting patterns in graphs to help understand the data and support decision…
Towards Revenue Maximization with Popular and Profitable Products
Wensheng Gan, Guoting Chen, Hongzhi Yin +3
Economic-wise, a common goal for companies conducting marketing is to maximize the return revenue/profit by utilizing the various effective marketing strategies. Consumer behavior…
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…
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…
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…
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.…