257 citations · 694 across the 15 of their papers we have counts for
11 papers · 1 filter
Targeted Mining of Top-k High Utility Itemsets
Shan Huang, Wensheng Gan, Jinbao Miao +2
Finding high-importance patterns in data is an emerging data mining task known as High-utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts a…
Mining compact high utility sequential patterns
Tai Dinh, Philippe Fournier-Viger, Huynh Van Hong
High utility sequential pattern mining (HUSPM) aims to mine all patterns that yield a high utility (profit) in a sequence dataset. HUSPM is useful for several applications such as…
OPR-Miner: Order-preserving rule mining for time series
Youxi Wu, Xiaoqian Zhao, Yan Li +4
Discovering frequent trends in time series is a critical task in data mining. Recently, order-preserving matching was proposed to find all occurrences of a pattern in a time series…
Towards Target High-Utility Itemsets
Jinbao Miao, Wensheng Gan, Shicheng Wan +2
For applied intelligence, utility-driven pattern discovery algorithms can identify insightful and useful patterns in databases. However, in these techniques for pattern discovery,…
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.…
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…
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…
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…