10. Bohdan Myroniv, Cheng-Wei Wu*, Yi Ren, Albert Budi Christian, Ensa Bajo, and Yu-Chee Tseng, “Analyzing User Emotions via Physiology Signals Analyzing User Emotions via Physiology Signals,” Data Science and Pattern Recognition (DSPR), Vol. 1(2), pp. 11-25, 2017.
9. Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, “EFIM: A Fast and Memory Efficient Algorithm for High-utility Itemset Mining,” Knowledge and Information Systems (KAIS), Vol. 51, Issue 2, pp. 595-625, 2017. (SCI, EI, Impact Factor = 2.004)
8. Moteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng, “Efficiently Mining High Utility Sequential Patterns in Static and Streaming Data”, Intelligent Data Analysis (IDA), Vol. 21, Issue S1, pp. S103-S135, 2017. (Impact Factor = 0.772)
7. Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, “Efficient Algorithms for Mining Top-K High Utility Itemsets”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 28, No. 1, pp. 54-67, 2016. (SCI, EI, Impact Factor = 3.438) (Top Journal in Data Mining)
6. Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao, Roger Nkambou, “Mining Partially-Ordered Sequential Rules Common to Multiple Sequences”, IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), Vol. 27, No. 8, pp. 2203-2216, 2015. (SCI, EI, Impact Factor = 3.438) (Top Journal in Data Mining)
5. Vincent S. Tseng, Cheng-Wei Wu, Fournier-Viger Philippe, Philip S. Yu, “Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 3, pp. 726-739, 2015. (SCI, EI, Impact Factor = 3.438) (Top Journal in Data Mining)
4. Yu-Feng Lin, Cheng-Wei Wu, Chien-Feng Huang, Vincent S. Tseng, “Discovering Utility-based Episode Rules in Complex Event Sequences”, Expert Systems with Applications, 42(12): 5303-5314, 2015. (SCI, Impact Factor = 3.928)
3. Philippe-Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu, Vincent S. Tseng, “SPMF: a Java Open-Source Pattern Mining Library”, Journal of Machine Learning Research (JMLR), 15:3389-3393, 2014. (SCI, EI, Impact Factor = 5) (Top Journal in Artificial Intelligence and Machine Learning)
2. Vincent S. Tseng, Bai-En Shie, Cheng-Wei Wu, Philip S. Yu, “Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 25, No. 8, pp.1772-1786, 2013. (SCI, EI, Impact Factor = 3.438) (Top journal in Data Mining)
1. Yue-Shi Lee Show-Jane Yen, Cheng-Wei Wu, Chin-Lin Lin, “A New Algorithm for Mining Frequent Closed Itemsets on Data Streams”, Communications of IICM, Vol. 11, No. 4, pp. 1-14, 2008.