Journal Paper

2018 (16 SCI)

  • Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger, and Jerry Chun-Wei Lin, “An New Framework for Metaheuristic-based Frequent Itemset Mining,” Applied Sciences, 2018 (SCI/EI)
  • Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin, and Ahcene Bendjoudi “Exploiting GPU Parallelism in Improving Bees Swarm Optimization for Mining Big Transactional Databases,” Information Sciences, 2018 (SCI/EI)
  • Jerry Chun-Wei Lin, Yuyu Zhang, Philippe Fournier-Viger, and Tzung-Pei Hong, “Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion,” International Journal of Fuzzy Systems, 2018 (SCI/EI)
  • Binbin Zhang, Jerry Chun-Wei Lin*, Yinan Shao, Youcef Djenouri, and Philippe Fournier-Viger, “Maintenance of the Discovered High Average-Utility Itemsets in Dynamic Databases,” Applied Sciences, Vol. 8(769), pp. 1-19, 2018 (SCI/EI, IF:1.679, Q3)
  • Binbin Zhang, Jerry Chun-Wei Lin*, Qiankun Liu, Philippe Fournier-Viger, and Youcef Djenouri, “A (k, p)-anonymity Framework to Sanitize Transactional Database with Personalized Sensitivity”, Journal of Internet Technology, 2018 (SCI/EI, IF:1.93, Q2)
  • Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin*, Matin Pirouz, and Philippe Fournier-Viger, TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns, IEEE Access, Vol. 6(1), pp. 18655-18669, 2018 (SCI/EI, IF:3.244, Q1)
  • Youcef Djenouri, Asma Belhadi, Phillipe Fournier-Viger, and Jerry Chun-Wei Lin, “Fast and Effective Cluster-based Information Retrieval using Frequent Closed Itemsets,” Information Sciences, Vol. 453, pp. 154-167, 2018 (SCI/EI, IF:4.832, Q1)
  • Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Jeng-Shyan Pan, and Tzung-Pei Hong, “Efficiently Updating the Discovered High Average-Utility Itemsets with Transaction Insertion,” Engineering Applications of Artificial Intelligence, vol. 27, pp. 136-149, 2018 (SCI/EI, IF:2.894, Q1)
  • Jerry Chun-Wei Lin, Yina Shao, Philippe Fournier-Viger, Youcef Djenouri and Xiangmin Guo, “Maintenance Algorithm for High Average-Utility Itemsets with Transaction Deletion,” Applied Intelligence, (SCI/EI, IF: 1.904, Q2), 2018
  • Youcef Djenouri, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Djamel Djenouri, and Asma Belhadi, “GPU-based Swarm Intelligence for Association Rule Mining in the Context of Big Data,” Intelligent Data Analysis, 2018 (SCI/EI, IF: 0.772, Q4)
  • Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Duy-Tai Dinh and Bac Le, “Mining Correlated High-Utility Itemsets Using Multiple Measures,” Logic Journal of the IGPL, 2018 (SCI, IF:0.575, Q4)
  • Jerry Chun-Wei Lin, Shifeng Ren, and Philippe Fournier-Viger, “MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns with Multiple Minimum Average-Utility Thresholds,” IEEE Access, Vol. 6, pp. 7593-7609, 2018 (SCI/EI, IF:3.244, Q1)
  • Chien-Ming Chen, Bin Xiang, Eric Wang Ke, Tsu-Yang Wu, and Jerry Chun-Wei Lin, “Improvement of an Anonymous and Lightweight Authentication Scheme for TMIS,” Journal of Applied Mathematics and Physics, vol. 6, pp. 18-28, 2018.
  • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Han-Chieh Chao, and Hamido Fujita, “A survey of Incremental High-Utility Itemset Mining,” WIREs Data Mining and Knowledge Discovery, 2018 (SCI/EI, IF:2.111, Q2)
  • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Han-Chieh Chao, and Hamido Fujita, “Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure,” Knowledge-Based Systems, Vol. 143(1), pp. 30-41, 2018 (SCI/EI IF:4.529, Q1)
  • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Ji Zhang, and Xiangmin Guo, “Mining High Average-Utility Itemsets with Multiple Minimum Average-Utility Thresholds,” Journal of Internet Technology, 2018 (SCI/EI, IF:1.93, Q2)
  • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “Exploiting Highly Qualified Pattern with Frequency and Weight Occupancy,” Knowledge and Information Systems, Vol. 56(1), pp 165-196, 2018 (SCI/EI, IF: 2.004, Q2)

2017 (20 SCI)

  • Xiaodong Zhu, Ji Zhang, Hongzhou Li, Philippe Fournier-Viger, Jerry Chun-Wei Lin, and Liang Chang, “FRIOD: A Deeply Integrated Feature-Rich Interactive System for Effective and Efficient Outlier Detection,” IEEE Access, 2017 (SCI/EI, IF:3.244, Q1)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases,” International Journal of Information Technology & Decision Making, Vol. 16(6), pp. 1549-1579, 2017 (SCI/EI, IF:1.664, Q2)
  • Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, and Jerry Chun-Wei Lin, “Temporal-based Fuzzy Utility Mining,” IEEE Access, 2017 (SCI/EI, IF:3.244, Q1)
  • Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong, and Miroslav Voznak, “A Binary PSO Approach to Mine High-Utility Itemsets” Soft Computing, Vol. 21(17), pp.5103-5121, 2017 (SCI/EI, IF: 2.472, Q2)
  • Binbin Zhang, Jerry Chun-Wei Lin*, Ting Li, and Philippe Fournier-Viger, “Mining of High Utility-Probability Sequential Patterns from Uncertain Databases” PloS One, pp. 1-21, 2017 (SCI, IF:2.806, Q1)
  • Wensheng Gan, Jerry Chun-Wei Lin*, Han-Chieh Chao, and Justin Zhan, “Data Mining in Distributed Environment: A Survey,” WIREs Data Mining and Knowledge Discovery, Vol. 7(6), pp. 1-19, 2017 (SCI/EI, IF:2.111, Q2)
  • Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, and Tzung-Pei Hong, “EHAUPM: Efficient High Average-Utility Pattern Mining with Tighter Upper-Bound Models,” IEEE Access, Vol. 5, pp. 12927-12940, 2017 (SCI/EI, IF:3.244, Q1)
  • Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong, “A Two-Phase Approach to Mine Short-Period High Utility Itemsets in Transactional Databases,” Advanced Engineering Informatics, Vol. 33, pp. 29-43, 2017 (SCI/EI, IF:2.680, Q1)
  • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Bay Vo, Tin Truong Chi, Ji Zhang, and Hoai Bac Le, “A Survey of Itemset Mining,” WIREs Data Mining and Knowledge Discovery, 2017 (SCI/EI, IF:2.111, Q2)
  • Jimmy Ming-Thai Wu, Justin Zhan, and Jerry Chun-Wei Lin*, “Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets,” IEEE Access, Vol. 5, pp. 10024-10039, 2017 (SCI/EI, IF: 3.244, Q1)
  • Jerry Chun-Wei Lin, Tzung-Pei Hong, Qiankun Liu, Jia-Wei Wong, Philippe Fournier-Viger and Wen-Yang Lin, “Efficient Hiding of Confidential High-Utility Itemsets with Minimal Side Effects,” Journal of Experimental & Theoretical Artificial Intelligence, Vol. 29(6), pp. 1225-1245, 2017 (SCI/EI, IF:1.384, Q3)
  • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Han-Chieh Chao, Jimmy Ming-Tai Wu, and Justin Zhan, “Extracting Recent Weighted-based Patterns from Uncertain Temporal Databases,” Engineering Applications of Artificial Intelligence, Vol. 61, pp. 161-172, 2017 (SCI/EI, IF:2.894, Q1)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Han-Chieh Chao, and Tzung-Pei Hong, “Efficiently Mining Frequent Itemsets with Weight and Recency Constraints,” Applied Intelligence, Vol. 47 (3), pp. 769-792, 2017 (SCI/EI, IF: 1.904, Q2)
  • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Han-Chieh Chao, and Justin Zhan, “Mining of Frequent Patterns with Multiple Minimum Supports,” Engineering Applications of Artificial Intelligence, Vol. 60, pp. 83-96, 2017 (SCI/EI, IF:2.894, Q1)
  • Jeng-Shyang Pan, Jerry Chun-Wei Lin*, Lu Yang, Philippe Fournier-Viger, and Tzung-Pei Hong, “Efficiently Mining of Skyline Frequent-Utility Patterns,” Intelligent Data Analysis, Vol. 21(6), pp. 1407-1423, 2017 (SCI/EI, IF: 0.772, Q4)
  • Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su, and Bay Vo, “A Fast Algorithm for Mining High Average-Utility Itemsets,” Applied Intelligence, Vol. 47(2), pp. 331-346, 2017 (SCI/EI, IF:1.904, Q2)
  • Jimmy Ming-Thai Wu, Justin Zhan, and Jerry Chun-Wei Lin*, “An ACO-based Approach to Mine High-Utility Itemsets,” Knowledge-Based Systems, Vol. 116, pp. 102-113, 2017 (SCI/EI IF:4.529, Q1)
  • 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, Vol. 51 (2), pp. 595-625, 2017 (SCI/EI, IF: 2.004, Q2)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “FDHUP: Fast Algorithm for Mining Discriminative High Utility Patterns,” Knowledge and Information Systems, Vol. 51 (3), pp. 873-909, 2017 (SCI/EI, IF: 2.004, Q2)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Efficiently Mining Uncertain High-Utility Itemsets,” Soft Computing, Vol. 21 (11), pp. 2801-2820, 2017 (SCI/EI, IF:2.472, Q2)
  • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Rage Uday Kiran, Yun Sing Koh, and Rincy Thomas, “A Survey of Sequential Pattern Mining,” Data Science and Pattern Recognition, vol. 1(1), pp. 54-77, 2017

2016 (25 SCI, 1 EI)

  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Justin Zhan, “Efficient Mining of High-Utility Itemsets Using Multiple Minimum Utility Thresholds,” Knowledge-Based Systems, 2016 (SCI/EI, IF:3.325, Q1)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “FDHUP: Fast Algorithm for Mining Discriminative High Utility Patterns,” Knowledge and Information Systems, 2016 (SCI/EI, IF:1.702, Q2)
  • Jerry Chun-Wei Lin, Philippe Fournier-Viger, and Wensheng Gan, “FHN: An Efficient Algorithm for Mining High-Utility Itemsets with Negative Unit Profits,” Knowledge-Based Systems, 2016 (SCI/EI, IF:3.325, Q1)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger and Tzung-Pei Hong, “Maintenance Sequential Patterns for Sequence Modification in Dynamic Databases,” International Journal of Software Engineering and Knowledge Engineering, Vol. 26 (8), pp. 1285-1313, 2016 (SCI/EI, IF:0.240, Q4)
  • 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, pp. 1-31, 2016 (SCI/EI, IF:1.702, Q2)
  • Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, and Tzung-Pei Hong, “PTA: An Efficient System for Anonymizing Transaction Databases”, IEEE Access, 2016 (SCI/EI, IF:1.284, Q2)
  • Tsu-Yang Wu, Chien-Ming Chen, Xiuyang Sun, and Jerry Chun-Wei Lin “A Countermeasure to SQL Injection Attack for Cloud Environment” Wireless Personal Communications, 2016.
  • Lukas Orcik, Miroslav Voznak, Jan Rozhon, Filip Rezac, Jiri Slachta, Homero Toral-Cruz, and Jerry Chun-Wei Lin, “Prediction of Speech Quality Based on Resilient Backpropagation Artificial Neural Network,” Wireless Personal Communications, 2016 (SCI/EI, IF:0.701, Q4)
  • Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Ming-Thai Wu, Tzung-Pei Hong, Leon Shyue-Liang Wang, and Justin Zhan, “Mining High-Utility Itemsets based on Particle Swarm Optimization,” Engineering Applications of Artificial Intelligence, Vol. 55, pp. 320-330, 2016  (SCI/EI, IF:0.701, Q4)
  • Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin, Justin Zhan and Miroslav Voznak, “Fast Algorithms for Hiding Sensitive High-Utility Itemsets in Privacy-Preserving Utility Mining,” Engineering Applications of Artificial Intelligence, Vol. 55, pp. 269-284, 2016
  • Chun-Wei Lin, Binbin Zhang, Wensheng Gan, Bo-Wei Chen, Seungmin Rho, Tzung-Pei Hong, “Updating High-Utility Pattern Trees with Transaction Modification,” Multimedia Tools and Applications, Vol. 75(9), pp. 4887-4912, 2016  (SCI/EI, IF:2.368, Q1)
  • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Jimmy Ming-Thai Wu, and Justin Zhan “Efficient Mining of Multiple Fuzzy Frequent Itemsets,” International Journal of Fuzzy Systems, 2016 (SCI/EI, IF: 1.095)
  • Peng Cheng, Ivan Lee, Chun-Wei Lin, and Jeng-Shyang Pan, “Association Rule Hiding Based on Evolutionary Multi-objective Optimization,” Intelligent Data Analysis, Vol. 20(3), pp. 495-514, 2016 (SCI/EI, IF: 0.606, Q4)
  • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, and Miroslav Voznak “An Efficient Algorithm to Mine High Average-Utility Itemsets,” Advanced Engineering Informatics, Vol. 30(2), pp. 233-243, 2016 (SCI/EI, IF:1.627, Q1)
  • Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznak, and Justin Zhan “A Sanitization Approach for Hiding Sensitive Itemsets based on Particle Swarm Optimization,” Engineering Applications of Artificial Intelligence, 2016 (SCI/EI, IF:2.207, Q1)
  • Ra¨ıssa Yapan Dougnon, Philippe Fournier-Viger, Lin, Jerry Chun-Wei Lin, and Roger Nkambou, “Inferring Social Network User Profiles using a Partial Social Graph,” Journal of Intelligent Information Systems, 2016 (SCI/EI, IF: 0.886, Q3)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Efficiently Mining Uncertain High-Utility Itemsets,” Soft Computing, 2016 (SCI/EI, IF:1.271, Q3)
  • Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong, and Miroslav Voznak “A Binary PSO Approach to Mine High-Utility Itemsets” Soft Computing, pp. 1-19, 2016 (SCI/EI, IF:1.271, Q3)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Fast Algorithms for Mining High-Utility Itemsets with Various Discount Strategies,” Advanced Engineering informatics, Vol. 30(2), pp. 109-126, 2016. (SCI/EI, IF:1.627, Q1)
  • Miroslav Voznak, Ivo Zbranek, Miralem Mehic, Dan Komosny, Homero Toral-Cruz, and Jerry Chun-Wei Lin, “Covert Channel in RTP Payload Using a Pointer in Sip Header,” Communications: Scientific Letters of the University of Zilina, Vol. 1, pp. 40-47, 2016. (EI)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Efficient Algorithms for Mining High-Utility Itemsets with Uncertain Databases,” Knowledge-Based Systems, Vol. 96, pp. 171-187, 2016. (SCI/EI IF:2.947, Q1)
  • Jerry Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “A Fast Maintenance Algorithm of the Discovered High-Utility Itemsets with Transaction Deletion,” Intelligent Data Analysis, Vol. 20(4), 2016. (SCI, IF:0.606, Q4)
  • Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Hsin-Yi Chen and Sheng-Tun Li, “An Efficient Algorithm to Maintain the Discovered Frequent Sequences with Record Deletion,” Intelligent Data Analysis, Vol. 20(3), pp. 655-677, 2016. (SCI, IF:0.606, Q4)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Weighted Frequent Itemset Mining over Uncertain Databases,” Applied Intelligence, Vol. 44(1), pp. 232-250, 2016. (SCI/EI, IF:1.853, Q2)
  • Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “Maintaining the Discovered High-Utility Itemsets with Transaction Modification,” Applied Intelligence, Vol. 44(1), pp. 166-178, 2016. (SCI/EI, IF:1.853, Q2)
  • Peng Cheng, John F. Roddick, Shu-Chuan Chu, and Chun-Wei Lin, “Privacy Preservation through a Greedy, Distortion-based Rule-Hiding Method,” Applied Intelligence, Vol. 44(2), pp. 295-306, 2016. (SCI/EI, IF:1.853, Q2)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Lu Yang, Qiankun Liu, Jaroslav Frnda, Lukas Sevcik and Miroslav Voznak, “High Utility-Itemset Mining and Privacy-Preserving Utility Mining,” Perspectives in Science, Vol. 7, pp. 74-80, 2016. (Elsevier)
  • Jaroslav Frnda, Jan Rozhon, Miroslav Voznak, Jerry Chun-Wei Lin, and Tsu-Yang Wu, “A New Tool for Quality of Multimedia Estimation Based on Network Behaviour,” Perspectives in Science, Vol. 7, pp. 87-94, 2016. (Elsevier)
  • Tsu-Yang Wu, Jerry Chun-Wei Lin, Chien-Ming Chen, Yuh-Min Tseng, Jaroslav Frnda, Lukas Sevcik, and Miroslav Voznak, “A Brief Review of Revocable ID-based Public Key Cryptosystem,” Perspectives in Science, Vol. 7, pp. 81-86, 2016. (Elsevier)

2015 (18 SCI, 1 EI)

  • Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jaroslav Frnda, Lukas Sevcik, Miroslav Voznak, “An Evolutionary Algorithm to Mine High-Utility Itemsets,” Advances in Electrical and Electronic Engineering, Vol. 13(4), pp. 392-398, 2015. (KTTO 2015, EI)
  • Jerry Chun-Wei Lin, Tzung-Pei Hong, Tsung-Ching Lin and Shing-Tai Pan, “An UBMFFP Tree for Mining Multiple Fuzzy Frequent Itemsets,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 23(6), pp. 861-879, 2015.  (SCI/EI, IF:0.619, Q4)
  • Peng Cheng, Chun-Wei Lin, Jeng-Shyang Pan, and Ivan Lee, “Manage the Tradeoff in Data Sanitization,” IEICE Transactions on Information and Systems, Vol.E98-D (10), pp.1856-1860, 2015. (SCI/EI, IF:0.245, Q4)
  • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, and Tzung-Pei Hong, “A Fast Algorithm for Mining Fuzzy Frequent Itemsets,” Journal of Intelligent & Fuzzy Systems, Vol. 29(6), pp. 2373-2379, 2015. (SCI/EI, IF:1.812, Q2)
  • Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Vincent S. Tseng, “Efficient Algorithms for Mining Up-to-Date High-Utility Patterns,” Advanced Engineering Informatics, Vol. 29(3), pp. 648-661, 2015. (SCI/EI, IF:1.627, Q1)
  • Jerry Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “A Fast Updated Algorithm to Maintain the Discovered High-Utility Itemsets for Transaction Modification,” Advanced Engineering Informatics, Vol. 29(3), pp. 562-574, 2015. (SCI/EI, IF:1.627, Q1)
  • Jerry Chun-Wei Lin, Tzung-Pei Hong, Wensheng Gan, Hsin-Yi Chen, and Sheng-Tun Li, “Incrementally Updating the Discovered Sequential Patterns based on Pre-large Concept,” Intelligent Data Analysis, Vol. 19(5), pp. 1071-1089, 2015. (SCI/EI, IF:0.606, Q4)
  • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “RWFIM: Recent Weighted-Frequent Itemsets Mining,” Engineering Applications of Artificial Intelligence, Vol. 45, pp. 18-32, 2015. (SCI/EI, IF:2.207, Q1)
  • Peng Cheng, Chun-Wei Lin, and Jeng-Shyang Pan, “Use HypE to Hide Association Rules by Adding Items,” PLOS One, Vol. 10(6), pp. 1-19, 2015. (SCI, IF:3.234, Q1)
  • Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, and Chun-Wei Lin, “Tightening upper bound for mining weighted frequent itemsets”, Intelligent Data Analysis, Vol. 19(2), pp. 413-429, 2015. (SCI/EI, IF:0.606, Q4)
  • Jerry Chun-Wei Lin, Tzung-Pei Hong, and Guo-Cheng Lan, “Updating the Sequential Patterns in Dynamic Databases for Customer Sequences Deletion,” Journal of Internet Technology, Vol.16(3), pp.370-379, 2015. (SCI/EI, IF:0.438, Q4)
  • Chun-Wei Lin, Guo-Cheng Lan, and Tzung-Pei Hong, “Mining High Utility Itemsets for Transaction Deletion in a Dynamic Database,” Intelligent Data Analysis, Vol. 19(1), pp. 43-255, 2015. (SCI/EI, IF:0.606, Q4)
  • Jerry Chun-Wei Lin, Tzung-Pei Hong, and Tsung-Ching Li, “A CMFFP-tree Algorithm to Mine Complete Multiple Fuzzy Frequent Itemsets,” Applied Soft Computing, Vol. 28, pp. 431-439, 2015. (SCI/EI, IF:2.81, Q1)
  • Jerry Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong, and, Yueh-Yun Wang “A Fast Updated High Utility Pattern Trees for Transaction Deletion,” Journal of Internet Technology, Vol.16(1), pp.131-138, 2015. (SCI, IF:0.438, Q4)
  • Jerry Chun-Wei Lin, Wen-Sheng Gan, Tzung-Pei Hong and Binbin Zhang, “An Incremental High-Utility Mining Algorithm with Transaction Insertion,” The Scientific World Journal, Vol. 2015, Article ID 161564, 2015. (SCI, IF:1.219, Q2)
  • Chun-Wei Lin, Tzung-Pei Hong, Kuo-Tung Yang, and Shyue-Liang Wang, “The GA-based Algorithms for Optimizing Hiding Sensitive Itemsets through Transaction Deletion,” Applied Intelligence, Vol. 42(2), pp. 210-230, 2015. (SCI/EI, IF:1.853, Q2)
  • Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, and Wen-Yang Lin, “Efficient Updating of Discovered High Utility Itemsets for Transaction Deletion in Dynamic Databases,” Advanced Engineering Informatics, Vol. 29(1), pp. 16-27, 2015. (SCI/EI, IF:1.627, Q1)
  • Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Seungmin Rho, and Bo-Wei Chen “Peer-to-Peer Usage Analysis in Dynamic Databases,” Peer to Peer Networking and Applications, Vol. 8(5), pp. 851-862, 2015. (SCI/EI, IF:0.632, Q4)
  • Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Jingliang Zhang “Updating the Built Prelarge Fast Updated Sequential Pattern Trees with Sequence Modification,” International Journal of Data Warehousing and Mining, Vol. 1(1), pp. 1-21, 2015. (SCI/EI, IF:1.241, Q2)

2014 (11 SCI, 2 EI)

  • Bo-Wei Chen, Wen Ji, Seungmin Rho, and Chun-Wei Lin, “Well-being Technology for Healthcare,” Journal of Platform Technology, Vol. 2(2), pp. 42-49, 2014.
  • Chun-Wei Lin, , Binbin Zhang, Wensheng Gan, Bo-Wei Chen, Seungmin Rho, Tzung-Pei Hong, “Updating High-Utility Pattern Trees with Transaction Modification,” Multimedia Tools and Applications, 2014. (SCI/EI, IF:1.346, Q2)
  • Jerry Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “Efficiently Maintaining the Fast Updates Sequential Pattern Trees with Sequence Deletion,” IEEE Access, Vol. 2, pp. 1374-1383, 2014. (SCI/EI)
  • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Yang Lin, “Efficient Updating of Sequential Patterns with Transaction Insertion,” Intelligent Data Analysis, Vol. 18(6), pp. 1013-1026, 2014. (SCI, IF:0.606, Q4)
  • Chun-Wei Lin, Binbin Zhang, Kuo-Yung Yang, and Tzung-Pei Hong “Efficiently Hiding Sensitive Itemsets with Transaction Deletion Based on Genetic Algorithms,” The Scientific World Journal, Vol. 2014, Article ID 398269, 13 pages, 2014. (SCI, IF:1.219, Q2)
  • Chun-Wei Lin and Tzung-Pei Hong, “Maintenance of Prelarge Trees for Data Mining with Modified Records,” Information Sciences, Vol. 278, pp. 88-103, 2014. (SCI/EI, IF:4.038, Q1)
  • Binbin Zhang, Chun-Wei Lin*, Wensheng Gan, and Tzung-Pei Hong, “Maintaining the Discovered Sequential Patterns for Sequence Insertion in Dynamic Databases,” Engineering Applications of Artificial Intelligence, Vol. 35, pp. 131-142, 2014. *corresponding author (SCI/EI, IF:2.207, Q1)
  • Chun-Wei Lin, Tzung-Pei Hong, and Hung-Chuan Hsu, “Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining,” The Scientific World Journal, Vol. 2014, Article ID 235837, 12 pages, 2014. (SCI, IF:1.219, Q2)
  • Tzung-Pei Hong, Chun-Wei Lin*, and Tsung-Ching Lin, “The MFFP-tree Fuzzy Mining Algorithm to Discover Complete Linguistic Frequent Itemsets,” Computational Intelligence, Vol. 30(1), pp. 145-166, 2014. *corresponding author (SCI/EI, IF:0.673, Q4)
  • Chun-Wei Lin, Tzung-Pei Hong, Jia-Wei Wong, Guo-Cheng Lan, and Wen-Yang Lin, “A GA-based Approach to Hide Sensitive High Utility Itemsets,” The Scientific World Journal, Volume 2014, 12 pages, 2014. (SCI, IF:1.219, Q2)
  • Lin Xu, Chun-Wei Lin*, Guo-Cheng Lan and Tzung-Pei Hong, “Evaluating the Side-Effects of Privacy Preserving Sequential Pattern Mining for Sequence Deletion,” ICIC Express Letters, Vol. 8(2), pp. 535-540, 2014. (EI)
  • Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, and Wen-Yang Lin, “Incrementally Mining High Utility Patterns Based on Pre-large Concept,” Applied Intelligence, Vol. 40(2), pp. 343-357, 2014. (SCI/EI, IF:1.853, Q2)
  • Chun-Wei Lin and Tzung-Pei Hong, “Mining Fuzzy Frequent Itemsets Based on UBFFP Trees,” Journal of Intelligent & Fuzzy Systems, Vol. 27(1), pp. 535-548, 2014.  (SCI/EI, IF:1.812, Q2)

2013 (3 SCI, 3 EI)

  • Chun-Wei Lin, Tzung-Pei Hong, Chia-Ching Chang, and Shyue-Liang Wang, “A Greedy-based Approach for Hiding Sensitive Itemsets by Transaction Insertion,” Journal of Information Hiding and Multimedia Signal Processing, Vol. 4(4), pp. 201-227, 2013. (EI)
  • Chun-Wei Lin, Tzung-Pei Hong, Yi-Fan Chen, Tsung-Ching Lin, and Shing-Tai Pan, “An Integrated MFFP-tree Algorithm for Mining Global Fuzzy Rules from Distributed Databases,” Journal of Universal Computer Science, Vol. 19(4), 521-538, 2013. (SCI, IF:0.466, Q4)
  • Chun-Wei Lin and Tzung-Pei Hong, “A Survey of Fuzzy Web Mining,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 3(3), pp. 190-199, 2013. (SCI/EI, IF:1.594, Q1)
  • Tzung-Pei Hong, Shin-Dai Li, Yeong-Chi Lee, and Chun-Wei Lin, “Dynamic Scheduling with Mold Constraints,” ICIC Express Letters, Vol. 7(4), pp. 1233-1238, 2013. (EI)
  • Tzung-Pei Hong, Chun-Wei Lin*, Kuo-Tung Yang and Shyue-Liang Wang, “Using TF-IDF to Hide Sensitive Itemsets,” Applied Intelligence, Vol. 38(4), pp. 502-510, 2013. (SCI/EI, IF:1.853, Q2)
  • Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, and Wen-Yang Lin, “Mining High Utility Itemsets Based on the Pre-large Concept,” Smart Innovation, Systems and Technologies, pp. 243-250, 2013. (EI)

2012 (2 SCI)

  • Chun-Wei Lin, Guo-Cheng Lan, and Tzung-Pei Hong, “An Incremental Mining Algorithm for High Utility Itemsets,” Expert Systems with Applications, Vol. 39(8), pp. 7173-7180, 2012. (SCI/EI, IF:2.240, Q1)
  • Chun-Wei Lin and Tzung-Pei Hong, “A New Mining Approach for Uncertain Databases Using CUFP Trees,” Expert System with Applications, Vol. 39(4), pp. 4084-4093, 2012. (SCI/EI, IF:2.240, Q1)

2011 (2 SCI, 1 EI)

  • Chun-Wei Lin and Tzung-Pei Hong, “Temporal Data Mining with Up-to-Date Pattern Trees,” Expert System with Applications, Vol. 38(12), pp. 15143-15150, 2011. (SCI/EI, IF:2.240, Q1)
  • Tzung-Pei Hong, Ting-I Chien, Yu-Lung Wu and Chun-Wei Lin, “Evolutionary Computation for Good Makespans of Scheduling Problems with Mold Constraints,” ICIC Express Letters, Vol. 5(6), pp. 1893-1898, 2011. (EI)
  • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “An Effective Tree Structure for Mining High Utility Itemsets,” Expert Systems with Applications, Vol. 38(6), pp. 7419-7424, 2011. (SCI/EI, IF:2.240, Q1)

2010 (5 SCI)

  • Tzung-Pei Hong, Ching-Yao Wang and Chun-Wei Lin, “Providing Timely Updated Sequential Patterns in Decision Making,” International Journal of Information Technology & Decision Making, Vol. No. 9(6), pp. 873-888, 2010. (SCI, IF:1.406, Q2)
  • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Efficient Modification of Fast Updated FP-trees Based on Pre-large Concepts,” International Journal of Innovative Computing, Information and Control, Vol. 6(12), pp. 5163-5177, 2010. (SCI/EI IF:1.667, Q1)
  • Yun-Yao Chen, Yueh-Yun Wang, Wei-Li Wang and Chun-Wei Lin*, “An Introduction of a Push System for Bicycle Position,” Journal of Far East University, Vol. 27, Issue 3, pp. 305-314, 2010.
  • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “An Efficient Tree-based Fuzzy Data Mining Approach,” International Journal of Fuzzy Systems, Vol. 12(2), pp. 150-157, 2010. (SCI/EI, IF:1.095, Q3)
  • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Using the Structure of Prelarge Trees to Incrementally Mine Frequent Itemsets,” New Generation Computing, Vol. 28(1), pp. 5-20, 2010. (SCI/EI, IF:0.821, Q3)
  • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Linguistic Data Mining with Fuzzy FP-trees,” Expert Systems with Applications, Vol. 37(6), pp. 4560-4567, 2010. (SCI/EI, IF:2.240, Q1)

2009 (2 SCI)

  • Tzung-Pei Hong, Chun-Wei Lin, and Yu-Lung Wu, “Maintenance of Fast Updated Frequent Pattern Trees for Record Deletion,” Computational Statistics and Data Analysis, Vol. 53(7), pp. 2485-2499, 2009. (SCI/EI, IF:1.4, Q2)
  • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “The Pre-FUFP Algorithm for Incremental Mining,” Expert Systems with Applications, Vol. 36(5), pp. 9498-9505, 2009. (SCI/EI, IF:2.240, Q1)

2008 (2 SCI)

  • Tzung-Pei Hong, Chun-Wei Lin, and Yu-Lung Wu, “An Efficient FUFP-tree Maintenance Algorithm for Record Modification,” International Journal of Innovative Computing, Information and Control, Vol. 4(11), pp. 2875-2887, 2008. (SCI/EI, IF:1.667, Q1)
  • Tzung-Pei Hong, Chun-Wei Lin and Yu-Lung Wu, “Incrementally fast updated frequent pattern trees,” Expert Systems With Applications, Vol. 34(4), pp. 2424-2435, 2008. (SCI/EI, IF:2.240, Q1)
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