IKE Lab@HVL, Norway
Intelligent Knowledge Engineering

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UDML 2020 Workshop Scope of the workshop Utility-driven mining and learning from data has received emerging attentions from KDD communities due to its high potential in wide applications, covering finance, biomedicine, manufacturing, e-commerce, social media, etc. Current research topics in utility-driven mining focused primarily on discovering patterns of high value (eg, high profit) in large databases, or analyzing/learning […]

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UDM 2018, Call for Paper The 1st International Workshop on Utility-Driven Mining Held in conjunction with the 24th ACM SIGKDD Conference (KDD 2018), August 20, 2018, London, United Kingdom Website: http://www.philippe-fournier-viger.com/utility_mining_workshop_2018/ Scope of the Workshop Utility-driven mining and learning from data has received emerging attentions from KDD communities due to its high potential in wide applications, covering finance, biomedicine, manufacturing, […]

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03 May 2016

Journal Paper

2019 (25 SCI) Wensheng Gan, Jerry Chun-Wei Lin*, Jiexiong Zhang, and Philip S. Yu, “Utility Mining Across Multi-Sequences with Individualized Thresholds,” ACM Transactions on Data Science, 2019 Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin*, and Ashish Tamrakar, “High- Utility Itemset Mining with Effective Pruning Strategies,” ACM Transactions on Knowledge Discovery from Data, 2019 (SCI, JCR:Q2, IF:2.538) […]

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03 May 2016

Conference Paper

2019 (6 EI) Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, and Uday Kiran, “Discovering Stable Periodic-Frequent Patterns in Transactional Data,” The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2019, EI), 2019 Youcef Djenouri, Jerry Chun-Wei Lin, Kjetil Nørvåg, and Heri Ramampiaro “Highly Efficient Pattern Mining Based on Transaction Decomposition,” […]

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