IKE Lab@HVL, Norway
Intelligent Knowledge Engineering
03 May 2016

Conference Paper

By admin

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,” IEEE International Conference on Data Engineering (IEEE ICDE, EI), pp. 1646–1649, 2019
    • Jimmy Ming-TaiWu, Jerry Chun-Wei Lin*, andWei Min, “High-Utility Itemset Mining in Big Dataset,” IEEE International Conference on Consumer Electronics -Taiwan, (IEEE ICCE-TW 2019, EI), 2019
    • Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Jerry Chun-Wei Lin*, Ahcene Bendjoudi, and Philippe Fournier-Viger, “A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining,” IEEE Congress on Evolutionary Computation, (IEEE CEC 2019, EI), 2019
    • Youcef Djenouri, Djamel Djenouri, Jerry Chun-Wei Lin*, and Asma Belhadi, “Single Scan Polynomial Algorithms for Frequent Itemset Mining in Big Databases,” IEEE Congress on Evolutionary Computation (IEEE CEC 2019, EI), 2019
    • Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Chun-Hao Chen, Yuyu Zhang, and Youcef Djenouri “A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining,” IEEE Congress on Evolutionary Computation (IEEE CEC 2019, EI), 2019

2018 (22 EI)

    • Tzung-Pei Hong, Chia-Che Li, Shyue-LiangWang, and Jerry Chun-Wei Lin, “Reducing Database Scan in Maintaining Erasable Itemsets from Product Deletion,” IEEE International Conference on BigData, (IEEE BigData 2018, EI), 2018
    • Wensheng Gan, Jerry Chun-Wei Lin*, Han-Chieh Chao, Tzung-Pei Hong, and Philip S. Yu, “CoUPM: Correlated Utility-based Pattern Mining,” IEEE International Conference on BigData, (IEEE BigData 2018, EI), 2018
    • Wensheng Gan, Jerry Chun-Wei Lin*, Han-Chieh Chao, Shyue-LiangWang, and Philip S. Yu, “A Survey of Privacy Preserving Utility Mining,” IEEE International Conference on BigData, (IEEE BigData 2018, EI), 2018
    • Hiba Belhadi, Karima Akli-Astouati, Youcef Djenouri, Jerry Chun-Wei Lin, and Jimmy Ming-TaiWu, “GFSOM: Genetic Feature Selection for Ontology Matching,” The International Conference on Genetic and Evolutionary Computing, (ICGEC 2018, Excellent Paper Award, EI), 2018
    • Jerry Chun-Wei Lin*, Yuyu Zhang, Chun-Hao Chen, Ming-TaiWu, Chien-Ming Chen and Tzung-Pei Hong, “A Multiple Objective PSO-based Approach for Data Sanitization,” The 2018 Conference on Technologies and Applications of Artificial Intelligence, (TAAI 2018, EI), pp. 148–151, 2018
    • Jerry Chun-Wei Lin*, Yifan Li, Philippe Fournier-Viger, and Linlin Tang, “Mining High Utility Itemsets from Multiple Databases,” The International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, pp. 139–146, (VTCA 2018, EI), 2018
    • Xiaodong Zhu, Ji Zhang, Zewen Hu, Hongzhou Li, Liang Chang, Youwen Zhu, Jerry Chun-Wei Lin and Yongrui Qin, “A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence,” The International Conference on Advanced Data Mining and Applications, 2018 (ADMA 2018, EI)
    • Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin and Yun Sing Koh, “Discovering High Utility Change Points in Customer Transaction Data,” The International Conference on Advanced Data Mining and Applications, 2018 (ADMA 2018, EI)
    • Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Lintai Wu, Wensheng Gan, Youcef Djenouri, and Ji Zhang, “PPSF: An Open-Source Privacy-Preserving and Security Mining Framework,” IEEE International Conference on Data Mining Workshop, pp. 1459–1463, 2018 (IEEE ICDM 2018, EI)
    • Philippe Fournier-Viger, Tianbiao Liu and Jerry Chun-Wei Lin, “Football Pass Prediction using Player Locations,” The Workshop on Machine Learning and Data Mining for Sports Analytics, 2018
    • Jerry Chun-Wei Lin*, Qiankun Liu, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang, “Anonymization of Multiple and Personalized Sensitive Attributes,” The International Conference on Big Data Analytics and Knowledge Discovery, pp. 204–215, 2018 (DaWaK 2018, EI)
    • Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Uday Kiran, and Hamido Fujita, “Discovering Periodic Patterns Common to Multiple Sequences,” The International Conference on Big Data Analytics and Knowledge Discovery, pp. 231–246, 2018 (DaWaK 2018, EI)
    • Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh, “Mining Local High Utility Itemsets,” The International Conference on Database and Expert Systems Application, pp. 450–460, 2018 (DEXA 2018, EI)
    • Raid Lafta, Ji Zhang, Xiaohui Tao, and Jerry Chun-Wei Lin*, “A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment,” The International Conference on Database and Expert Systems Application, pp. 185–192, 2018 (DEXA 2018, EI)
    • Jerry Chun-Wei Lin*, Yuyu Zhang, Philippe Fournier-Viger, Youcef Djenouri, and Ji Zhang, “A Metaheuristic Algorithm for Hiding Sensitive Itemsets,” The International Conference on Database and Expert Systems Application, pp. 492–498, 2018 (DEXA 2018, EI)
    • Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, and Truong-Chi Tin, “Discovering Low-Cost High Utility Patterns,” The Workshop of Utility-Driven Mining, 2018
    • Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin*, Matin Pirouz, and Philippe Fournier-Viger, “New Tighter Upper Bounds for Mining High Average-Utility Itemsets,” The International Conference on Big Data and Education, pp. 27–32, 2018 (ICBDE 2018, EI)
    • Ji Zhang, Leonard Tan, Xiaohui Tao, Jerry Chun-Wei Lin*, “On Link stability Detection for Online Social Networks,” The International Conference on Database and Expert Systems Application, pp. 320–335, 2018 (DEXA 2018, EI)
    • Tzung-Pei Hong, Chia-Che Li, Shyue-LiangWang, and Chun-Wei Lin, “Maintenance of Erasable Itemsets for Product Deletion,” The Multidisciplinary International Social Networks Conference, Article No. 18, 2018 (MISNC 2018, EI)
    • Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Mohammed Diykh, and Jerry Chun-Wei Lin, “A Structural Graph-Coupled Advanced Machine Learning Ensemble Model for Disease Risk Prediction in a Telehealthcare Environment,” Big Data in Engineering Applications, pp. 363–384, 2018
    • Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, and Jerry Chun-Wei Lin, “Discovering Strong Meta Association Rules using Bees Swarm Optimization,” The Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 195–206, 2018 (PAKDD 2018, EI)
    • Ji Zhang, Leonard Tan, Xiaohui Tao, Xiaoyao Zheng, Yonglong Luo, and Jerry Chun-Wei Lin, “SLIND: Identifying Stable Links in Online Social Networks,” The International Conference on Database Systems for Advanced Applications, pp. 813–816, 2018 (DASSFA 2018, EI)
    • Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong, Ding-ChauWang, and Jerry Chun-Wei Lin, “An Approach for Diverse Group Stock Portfolio Optimization Using the Fuzzy Grouping Genetic Algorithm,” Asian Conference on Intelligent Information and Database Systems, pp. 510–518, 2018 (ACIIDS, EI)
    • Youcef Djenouri, Jerry Chun-Wei Lin*, Djamel Djenouri, Asma Belhadi, and Philippe Fournier-Viger, “GBSO-RSS: GPU-based BSO for Rules Space Summarization,” The International Conference on Big Data and Deep Learning Applications, pp. 123–129, 2018 (ICBDL, EI)
    • Philippe Fournier-Viger, Xiang Li, Jie Yao and Jerry Chun-Wei Lin, “Interactive Discovery of Statistically Significant Itemsets,” The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 101–113, 2018. (IEA/AIE, EI)

2017 (15 EI)

    • Tzung-Pei Hong, Lu-Hung Chen, Shyue-Liang Wang, Chun-Wei Lin, and Bay Vo, “Quasi-Erasable Itemset Mining,” IEEE International Conference on Big Data, pp. 1816-1820, 2017. (IEEE Big Data 2017, EI)
    • Filip Rezac, Miroslav Voznak, Jaromir Tovarek, and Jerry Chun-Wei Lin, “Distribution of Voice Messages in Crisis or Emergency Situations,” The Multimedia Communications, Services and Security, pp. 148-160, 2017.
    • Lukáš Macura, Jan Rozhon and Jerry Chun-Wei Lin, “Employing Monitoring System to Analyze Incidents in Computer Network,” The Czech-China Scientific Conference, pp. 79-93, 2017 (ECC 2017, EI)
    • Ladislav Behan, Lukas Orcik, Filip Rezac, Ivan Baronak and Jerry Chun Wei Lin, “Prepaid Voice Services Based on OpenBTS Platform,” The Czech-China Scientific Conference, pp. 15-26, 2017 (ECC 2017, EI)
    • Tsu-Yang Wu, Jerry Chun-Wei Lin*, and Yuyu Zhan, “Mining of Multiple Fuzzy Frequent Itemsets with Transaction Insertion,” The Euro-China Conference on Intelligent Data Analysis and Applications, pp. 137-144, 2017 (ECC 2017, EI)
    • Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin, “An Hybrid Multi-Core/GPU-based Mimetic Algorithm for Big Association Rule Mining,” The International Conference on Genetic and Evolutionary Computing, pp. 59-65, 2017 (ICGEC 2017, EI)
    • Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chian and Jerry Chun-Wei Lin, “Mining Erasable Itemsets Using Bitmap Representation,” The International Conference on Genetic and Evolutionary Computing, pp. 37-43, 2017 (ICGEC 2017, EI)
    • Tsu-Yang Wu, Jerry Chun-Wei Lin*, Yinan Shao, Philippe Fournier-Viger, and Tzung-Pei Hong, “Updating the Discovered High Average-Utility Patterns with Transaction Insertion,” The International Conference on Genetic and Evolutionary Computing, pp. 66-73, 2017 (ICGEC 2017, EI)
    • Tzung-Pei Hong, Jen-Hao Hsu, Kung-Jiuan Yang, Guo-Cheng Lan, Jerry Chun-Wei Lin, Shyue-Liang Wan, “Mining High Utility Partial Periodic Pattern by GPA,” IEEE International Conference on Systems, Man, and Cybernetics, 2017 (IEEE SMC, EI)
    • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger and Han-Chieh Chao, “Extracting Non-redundant Correlated High Utility Purchase Behaviors,” Big Data Analytics and Knowledge Discovery, pp. 433-446, 2017 (DaWaK 2017, EI)
    • Tzung-Pei Hong, Kun-Yi Lin, Jerry Chun-Wei Lin, and Bay Vo “An Incremental Mining Algorithm for Erasable Itemsets,” IEEE International Conference on INnovations in Intelligent SysTems and Applications, pp. 286-289, 2017 (INISTA 2017, EI)
    • Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger and Tzung-Pei Hong, “Mining of High Average-Utility Itemsets with New Upper-Bound Models,” The Multidisciplinary International Social Networks Conference, Article 37, 2017 (MISNC 2017, EI)
    • Tzung-Pei Hong, Jen-Hao Hsu, Guo-Cheng Lan, Kung-Jiuan Yang, Shyue-Liang Wang, and Jerry Chun-Wei Lin, “High Utility Partial Periodic Pattern Mining,” The Multidisciplinary International Social Networks Conference, Article 35, 2017 (MISNC 2017, EI)
    • Jerry Chun-Wei Lin, JieXiong Zhang, and Philippe Fournier-Viger, “High Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds,” APWeb-WAIM Joint Conference, pp. 215-229, 2017 (APWeb-WAIM 2017, accept. rate: 18.3%, EI)
    • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “Exploiting High Utility Occupancy Patterns,” APWeb-WAIM Joint Conference, pp. 239-247, 2017 (APWeb-WAIM 2017, accept. rate: 18.3%, EI)
    • Wensheng Gan, Jerry Chun-Wei Lin*, and Han-Chieh Chao, “Mining High-Utility Itemsets with both Positive and Negative Unit Profits from Uncertain Databases,” The Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 434-446, 2017 (PAKDD 2017, accept. rate: 18.6%, EI)

2016 (29 EI)

    • Dominik Uhrin, Pavol Partila, Jaroslav Frnda, Lukas Sevcik, Miroslav Voznak and Jerry Chun Wei Lin, “Design of Emotion Recognition System,” The 2nd Czech-China Scientific Conference, 2016
    • Nguyen Bui, Bay Vo, Van-Nam Huynh, Chun-Wei Lin, and Loan T. T. Nguyen, “Mining Closed High Utility Itemsets in Uncertain Databases,” The Seventh Symposium on Information and Communication Technology, pp. 7-14, 2016 (SoICT 2016)
    • Tzung-Pei Hong, Tsung-Ta Shih, Chun-Wei Lin, and Bay Vo, “Merging Two Sets of Erasable Itemsets,” The International Computer Symposium, 2016 (ICS 2016)
    • Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Ja-Hwung Su, and Bay Vo, “A More Efficient Algorithm to Mine High Average-Utility Itemsets,” The International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2016 (IIHMSP 2016)
    • Tzung-Pei Hong, Kun-Yi Lin, Chun-Wei Lin and Bay Vo, “An Incremental Mining Algorithm for Erasable Itemsets,” The 2016 Conference on Technologies and Applications of Artificial Intelligence, 2016 (TAAI 2016)
    • Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Siddharth Dawar, Vikram Goyal, Ashish Sureka, and Bay Vo, “A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns,” International Conference on Genetic and Evolutionary Computing, 2016. (ICGEC 2016)
    • Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong and Chien-Ming Chen, “Efficient Mining of Short Periodic High-Utility Itemsets,” IEEE International Conference on System Man, and Cybernetics, 2016. (IEEE SMC 2016)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam, Lukas Sevcik, Dominik Uhrin, Miroslav Voznak, “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures,” Czech-China Conference, 2016. (ECC 2016)
    • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Ja-Hwung Su, “Fast Algorithms for Mining Multiple Fuzzy Frequent Itemsets,” IEEE International Conference on Fuzzy Systems, 2016. (FUZZ-IEEE 2016)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhihong Deng, and Hoang Thanh Lam, “The SPMF Open-Source Data Mining Library Version 2 and beyond,” The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2016 (ECML-PKDD 2016, LNCS, EI)
    • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “Mining Recent High Expected Weighted Itemset from Uncertain Databases,” The Asia Pacific Web Conference, 2016 (APWeb 2016, LNCS, EI)
    • Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong and Chien-Ming Chen, “Efficient Mining of Short Periodic High-Utility Itemsets,” IEEE International Conference on System Man, and Cybernetics, 2016 (IEEE SMC 2016, IEEE, EI)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam, Lukas Sevcik, Dominik Uhrin, Miroslav Voznak, “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures,” Czech-China Conference, 2016 (ECC 2016, Springer, EI)
    • Jimmy Ming-Tai Wu, Justin Zhan, and Jerry Chun-Wei Lin*, “Mining of High-Utility Itemsets by ACO Algorithm,” The Multidisciplinary International Social Networks Conference, 2016 (MISNC 2016, ACM, EI)
    • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Han-Chieh Chao, Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint, The International Conference on Big Data Analytics and Knowledge Discovery, 2016 (DaWaKa 2016, LNCS, EI)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, and Usef Faghihi, “Mining Minimal High-Utility Itemsets,” The International Conference on Database and Expert Systems Applications, 2016 (DEXA 2016, LNCS, EI)
    • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Thresholds,” The International Conference on Database and Expert Systems Application, 2016 (DEXA 2016, LNCS, EI)
    • Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan and Miroslav Voznak, “An Efficient Anonymous System for Transaction Data,” The Multidisciplinary International Social Networks Conference, 2016 (MISNC 2016, ACM, EI)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases, International Conference on Machine Learning and Data Mining, 2016. (MLDM 2016, LNCS, EI)
    • Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, and Vincent S. Tseng, “EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets,” International Conference on Machine Learning and Data Mining, 2016 (MLDM 2016, LNCS, EI)
    • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Ja-Hwung Su “Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds,” Industrial Conference on Data Mining, 2016. (ICDM 2016, LNCS, EI)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong , Thu-Lan Dam, “PHM: Mining Periodic High-Utility Itemsets”, Industrial Conference on Data Mining, 2016. (ICDM 2016, LNCS, EI, Best Paper Award Nomination)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, Efficient Mining of Uncertain Data to Discover High-Utility Itemsets, The International Conference on Web-Age Information Management, 2016. (WAIM 2016, LNCS, EI)
    • Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, More Efficient Algorithms for Mining Frequent Patterns with Multiple Minimum Supports, The International Conference on Web-Age Information Management, 2016. (WAIM 2016, LNCS, EI)
    • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Ja-Hwung Su, “Fast Algorithms for Mining Multiple Fuzzy Frequent Itemsets,” IEEE International Conference on Fuzzy Systems, 2016. (FUZZ-IEEE 2016, IEEE, EI)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, and Thu-Lan Dam, “FHM+: Faster High-Utility Itemset Mining using Length Upper-Bound Reduction,” International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2016. (IEA/AIE 2016, LNCS, EI)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tai Dinh and Hoai Bac Le, “Mining Correlated High-Utility Itemsets using the Bond Measure,” Hybrid Artificial Intelligence Systems, pp. pp 53-65, 2016. (HAIS 2016, LNCS, EI)
    • 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 Articial Neural Network,” International Conference on Communication, Management and Information Technology, 2016. (ICCMIT 2016, EI)
    • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Miroslav Voznak “Mining of High Average-Utility Itemsets without Candidate Generation,” International Conference on Communication, Management and Information Technology, 2016. (ICCMIT 2016, EI)
    • Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu and Vincent S. Tseng, “EFIM-Closed: Fast and Memory Efficient Closed High-Utility Itemset Mining,” ACM/SIGAPP Symposium on Applied Computing, pp. 898-900, 2016. (ACM/SIGAPP SAC 2016, ACM, EI, accept. rate: 25%, Best Poster Award Nomination)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Efficient Algorithms for Mining Recent Weighted Frequent Itemsets in Temporal Transactional Databases,” ACM/SIGAPP Symposium on Applied Computing, pp. 861-866, 2016. (ACM/SIGAPP SAC 2016, ACM, EI, accept. rate: 25%)
    • Jerry Chun-Wei Lin, Xianbiao Lv, Philippe Fournier-Viger, Tsu-Yang Wu, and Tzung-Pei Hong, “Efficient Mining of Fuzzy Frequent Itemsets with Type-2 Membership Functions,” The Asian Conference on Intelligent Information and Database Systems, 2016. (ACIIDS 2016, LNCS, EI)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Mining Discriminative High Utility Patterns,” The Asian Conference on Intelligent Information and Database Systems, 2016. (ACIIDS 2016, LNCS, EI)

2015 (17 EI)

    • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, and Tzung-Pei Hong, “A Fast Algorithm for Mining Fuzzy Frequent Itemsets,” The International Conference on Fuzzy System and Data Mining, Vol. 29(6), pp. 2373-2379, 2015. (FSDM 2015)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Mining Potential High-Utility Itemsets over Uncertain Databases,” ASE BigData & SocialInformatics, Vol. 25, pp. 1-6, 2015. (ASE BD&SI 2015, ACM, EI, accept. rate: 13%)
    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, and Prashant Barhate, “Efficient Incremental High Utility Itemset Mining,” ASE BigData & SocialInformatics, Vol. 53, pp. 1-6, 2015. (ASE BD&SI, ACM, EI, accept. rate: 13%)
    • Souleymane Zida, Philippe Fournier-Viger, Chun-Wei Lin, Cheng Wei Wu and Vincent S. Tseng, “EFIM: A More Efficient Algorithm for Mining High-Utility Itemsets,” Mexican International Conference on Artificial Intelligence, pp. pp 530-546, 2015. (MICAI 2015, LNCS, EI, accept. rate: 25%)
    • Raïssa Yapan Dougnon, Philippe Fournier-Viger, Jerry Chun-Wei Lin and Roger Nkambou, “Inferring User Profiles in Online Social Networks Using a Partial Social Graph,” Mexican International Conference on Artificial Intelligence, pp. 84-99, 2015. (MICAI 2015, LNCS, EI, accept. rate: 25%)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Fast Algorithm for Mining High-Utility Itemsets with Various Discount Strategies,” IEEE/ACM International Conference on Data Science and Advanced Analytics, pp. 1-10, 2015 (IEEE/ACM DSAA 2015, IEEE, EI, accept. rate: 22%)
    • Y. R. Dougnon, P. Fournier-Viger, Jerry Chun-Wei Lin, and R. Nkambou, “Accurate Online Social Network User Profiling,” German Conference on Artificial Intelligence, pp. 264-270, 2015. (KI 2015, LNCS, EI)
    • Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jaroslav Frnda, Lukas Sevcik, Miroslav Voznak, “An Evolutionary Algorithm to Mine High-Utility Itemsets,” The Knowledge in Telecommunication Technologies and Optics, vol. 13(4), pp. 392-398, 2015. (KTTO 2015, EI)
    • Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, and Jeng-Shyang Pan, “A Swarm-based Sanitization Approach for Hiding Confidential Itemsets,” The International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 227-230, 2015. (IIHMSP 2015, EI)
    • Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Ming-Thai Wu, Tzung-Pei Hong, and Leon Shyue-Liang Wang, “A Swarm-based Approach to Mine High-Utility Itemsets,” The Multidisciplinary International Social Networks Conference, pp. 572-581, 2015. (MISNC 2015, EI)
    • Eric Ke Wang, Jerry Chun-Wei Lin, Tsu-Yang Wu, Chien-Ming Chen, and Yuming Ye, “Privacy Protection Framework in Social Networked Cars,” The Multidisciplinary International Social Networks Conference, pp. 553-561, 2015. (MISNC 2015, EI)
    • Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin and Tzung-Pei Hong, “A Sanitization Approach of Privacy Preserving Utility Mining,” The International Conference on Genetic and Evolutionary Computing, 2015. (ICGEC 2015, EI, Best Paper Award)
    • Jaroslav Frnda, Miroslav Voznak, Martin Hlozak, Jiri Slachta, Jerry Chun-Wei Lin, “Application Tool for Prediction and Implementation of QoS in IP Based Network,” The Euro-China Conference on Intelligent Data Analysis and Applications, pp. 143-153, 2015. (ECC 2015, EI)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Mining Weighted-Frequent Itemsets with the Recency Constraint,” The Asia-Pacific Web Conference, pp. 635-646, 2015. (APWeb 2015, LNCS, EI)
    • Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger and Tzung-Pei Hong, “Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds,” The International C*Conference on Computer Science & Software Engineering, pp. 9-17, 2015. (C3S2E 2015, ACM, EI)
    • Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Vincent S. Tseng, “HEWIM: High Expected Weighted Itemset Mining in Uncertain Databases,” The International Conference on Machine Learning and Cybernetics, pp. 439-444, 2015. (ICMLC 2015, EI)
    • Jerry Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “A Fast Algorithm to Maintain the Discovered High-Utility Itemsets with Modified Records” IEEE International Conference on System, Man, and Cybernetics, 2015. (IEEE SMC 2015, IEEE, EI)
    • Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Mu-En Wu, “A List-based Algorithm for Efficiently Updating the Discovered High-Utility Itemsets,” Conference on Information Technology and Application in Outlying Islands, pp. 586-593, 2015.
    • Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, and Vincent S. Tseng, “Efficient Mining of High Utility Sequential Rules,” The International Conference on Machine Learning and Data Mining, pp. 157-171, 2015. (MLDM 2015,   LNCS, EI)

2014 (8 EI)

    • Peng Cheng, Jeng-Shyang Pan, Chun-Wei Lin, “Use EMO to protect sensitive knowledge in association rule mining by removing items,” IEEE Congress on Evolutionary Computation, pp. 1108-1115, 2014. (IEEE CEC 2014, EI)
    • Tsu-Yang Wu, Jeng-Shyang Pan, Chien-Ming Chen and Chun-Wei Lin, “Towards SQL Injection Attacks Detection Mechanism Using Parse Tree,” The International Conference on Genetic Evolutionary and Computing, pp. 371-380, 2015. (ICGEC 2014, EI)
    • Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong and Jeng-Shyang Pan, “Incrementally Updating High-Utility Itemsets with Transaction Insertion,” The International Conference on Advanced Data Mining and Applications, pp. 44-56, 2014. (ADMA 2014, LNCS, EI)
    • Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “Updating the Built FUSP trees with Sequence Deletion based on Prelarge Concept,” The Multidisciplinary International Social Networks Conference, pp. 417-426, 2014. (MISNC 2014, EI)
    • Chun-Wei Lin, Tsu-Yang Wu, Guo Lin, and Tzung-Pei Hong, “Maintenance Algorithm for Updating the Discovered Multiple Fuzzy Frequent Itemsets for Transaction Deletion,” The International Conference on Machine Learning and Cybernetics, pp. 475-480, 2014. (ICMLC 2014, EI)
    • Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong and Chien-Ming Chen, “Maintaining High-Utility Itemsets in Dynamic Databases,” The International Conference on Machine Learning and Cybernetics, pp. 469-474, 2014. (ICMLC 2014, EI)
    • Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong and Raylin Tso, “An Incremental Algorithm for Maintaining the built FUSP Trees based on the Pre-large Concepts,” The Euro-China Conference on Intelligent Data Analysis and Applications, pp. 135-144, 2014. (ECC 2014, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, and Hung-Chuan Hsu, “Hiding Sensitive Itemsets with Minimal Side Effects in Privacy Preserving Data Mining,” The Euro-China Conference on Intelligent Data Analysis and Applications, pp. 87-95, 2014. (ECC 2014, EI)

2013 (13 EI)

    • Chun-Wei Lin, Tzung-Pei Hong, and Hung-Chuan Hsu, “Evaluating Side Effects to Hide Sensitive Itemsets through Transaction Deletion,” International Conference on Intelligent Systems and Knowledge Engineering, pp. 107-116, 2014. (ISKE 2013, EI)
    • Peng Cheng, Jeng-Shyang Pan and Chun-Wei Lin, “Privacy Preserving Association Rule Mining Using Binary Encoded NSGA-II,” Pacific-Asia Conference on Knowledge Discovery and Data Mining, Workshop on Biologically Inspired Techniques for Data Mining, pp. 87-99, 2014. (PAKDD Workshop 2014, LNCS, EI)
    • Peng Cheng, Shu-Chuan Chu, Chun-Wei Lin and John F. Roddick, “Distortion-based Heuristic Sensitive rule Hiding Method – the Greedy Way,” The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 301-310, 2014. (IEA/AIE 2014, LNCS, EI)
    • Ci-Rong Li, Chun-Wei Lin*, Wensheng Gan, and Tzung-Pei Hong, “A Modified Maintenance Algorithm for Updating FUSP tree in Dynamic Database,” The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 301-310, 2014. (IEA/AIE 2014, LNCS, EI)
    • 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,” The International Conference on Innovative, Computing, Information and Control, pp. 535-540, 2014. (ICICIC 2013, EI)
    • Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong and Linping Kong, “Mining High Utility Itemsets Based on Transaction Deletion”, The International Conference on Embedded and Multimedia Computing, pp. 983-990, 2014. (EMC 2013, LNEE, EI)
    • Wei Kan, Tsu-Yang Wu, Tao Han, Chun-Wei Lin, Chien-Ming Chen, and Jeng-Shyang Pan, “An Efficient Detecting Mechanism for Cross-Site Script Attacks in the Cloud,” The International Conference on Embedded and Multimedia Computing, pp. 663-672, 2014. (EMC 2013, LNEE, EI)
    • Yun-Yao Chen, Yueh-Yun Wang, and Chun-Wei Lin*, “MABLIPS: Development of Agent-based Vehicle Location Tracking System,” The International Conference on Embedded and Multimedia Computing, pp. 1159-1166, 2014. (EMC 2013, LNEE, EI)
    • Lingping Kong, Chien-Ming Chen, Hong-Chi Shih, Chun-Wei Lin, and Jeng-Shyang Pan, “An Energy-Aware Routing Protocol Using Cat Swarm Optimization for Wireless Sensor Networks,” The International Conference on Embedded and Multimedia Computing, pp. 311-318, 2014. (EMC 2013, LNEE, EI)
    • Ming Zhao, Jeng-Shyang Pan, Chun-Wei Lin, and Lijun Yan, “Quantification-Based Ant Colony System for TSP,” The International Conference on Genetic and Evolutionary Computing, Vol. 238, pp 331-339, 2014. (ICGEC 2013, EI)
    • Chun-Wei Lin, Tzung-Pei Hong*, Jia-Wei Wong and Guo-Cheng Lan, “Privacy Preserving High Utility Mining based on Genetic Algorithms,” IEEE International Conference on Granular Computing, pp. 191-195, 2013. (IEEE GrC 2013, EI)
    • Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, and Chun-Wei Lin, “Mining Weighted Frequent Itemsets,” The Workshop on Combinatorial Mathematics and Computation Theory, pp. 85-89, 2013.
    • Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, and Wen-Yang Lin, “A Decremental Utility Mining Algorithm Based on the Pre-large Concept,” The Annual Conference of Japanese Society for AI, 2013.
    • Bay Vo, Chun-Wei Lin, Tzung-Pei Hong, Vinh V. Vu, Minh Q. Nguyen, and Bac Le, “An Efficient Method for Hiding High Utility Itemsets,” The International KES Conference on Agents and Multi-agent Systems-Technologies and Applications, pp. 356-363, 2013. (EI)
    • 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,” International Computer Symposium Workshop on Artificial Intelligence and Fuzzy Systems, pp. 243-250, 2013. (EI)

2012 (4 EI)

    • Chun-Wei Lin, Tzung-Pei Hong, Chia-Ching Chang and Shyue-Liang Wang, “A GA-based Approach for Hiding Sensitive Itemsets by Transaction Insertion,” The International Conference on Theoretical and Mathematical Foundations of Computer Science, Vol. 38, pp. 3-9, 2012. (TMFCS 2012)
    • Tzung-Pei Hong, Shin-Dai Li, Yeong-Chyi Lee and Chun-Wei Lin, “Dynamic Scheduling with Mold Constraints,” International Conference on Innovative Computing, Information and Control, pp. 1233-1238, 2012. (ICICIC 2012, EI)
    • Chanh-Truc Tran, Bay Vo, Tzung-Pei Hong, Chun-Wei Lin and Bac Le, “An Enhanced FUFP-tree Maintenance Approach for Transaction Deletion,” The International Conference on Innovations in Bio-Inspired Computing and Applications, pp. 45-50, 2012. (IBICA 2012, EI)
    • Tzung-Pei Hong, Chun-Wei Lin*, Tsung-Ching Lin, and Shyue-Liang Wang, “Incremental Multiple Fuzzy Frequent Pattern Tree,” IEEE International Conference on Fuzzy Systems, pp. 2051-2055, 2012. (FUZZ-IEEE 2012, IEEE, EI)
    • Tzung-Pei Hong, Chun-Wei Lin*, Bo-Yan Chen, Yi-Fan Chen, and Pei-Yung Hsiao, “An Incremental HAUP-tree Mining Algorithm,” The International Conference on Advanced Information Technologies and The Second National Conference on Web Intelligence and Applications, pp. 2012.(AIT/WIC 2012)
    • Tzung-Pei Hong, Chun-Wei Lin*, Tsung-Ching Lin, Yi-Fan Chen, and Shing-Tai Pan, “Integration of Multiple Fuzzy FP-trees,” The Asian Conference on Intelligent Information and Database Systems, pp. 19-21, 2012. (ACIIDS 2012, LNCS, EI)

2011 (7 EI)

    • Chun-Wei Lin, Tzung-Pei Hong, Hong-Yu Lee, and Shyue-Liang Wang, “Maintenance of Pre-large FUSP Trees in Dynamic Databases,” The International Conference on Innovations in Bio-inspired Computing and Applications, pp. 199-202, 2011. (IBICA 2011, EI)
    • Tzung-Pei Hong, Chun-Wei Lin*, Chia-Ching Chang, and Shyue-Liang Wang, “Hiding Sensitive Itemsets by Inserting Dummy Transactions,” IEEE International Conference on Granular Computing, pp. 2325-2329, 2011. (IEEE GrC 2011, IEEE, EI)
    • Tzung-Pei Hong, Chun-Wei Lin*, Kuo-Tung Yang and Shyue-Liang Wang, “A Lattice-based Data Sanitization Approach,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 2325-2329, 2011. (IEEE SMC 2011, IEEE, EI)
    • Tzung-Pei Hong, Chun-Wei Lin*, Tsung-Ching Lin and Shing-Tai Pan, “Upper-Bound Multiple Fuzzy Frequent-Pattern Trees,” IEEE International Conference on Fuzzy Systems, pp. 218-222, 2011. (FUZZ-IEEE 2011, IEEE, EI)
    • Guo-Cheng Lan, Tzung-Pei Hong, Chun-Wei Lin and Vincent S. Tseng, “Mining High Average-Utility Itemsets with an Indexed Projection Technique,” The National Conference on Web Intelligence and Applications, pp. 334-338, 2011. (NCWIA 2011)
    • Tzung-Pei Hong, Chun-Wei Lin*, Kuo-Tung Yang and Shyue-Liang Wang, “A Heuristic Data-Sanitization Approach Based on TF-IDF,” The International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, pp. 156-164, 2011. (IEA/AIE 2011, LNCS, EI)
    • Guo-Cheng Lan, Chun-Wei Lin, Tzung-Pei Hong and Vincent S. Tseng, “Updating High Average-Utility Itemsets in Dynamic Databases,” The World Congress on Intelligent Control and Automation, pp. 281-285, 2011. (WCCI 2011, EI)
    • Yun-Yao Chen, Yueh-Yun Wang, and Chun-Wei Lin*, “A Framework of Mobile Agent-based Bike Location and Information Pushing System,” The International Conference on Computers, Communication, Control and Automation, vol. 1, pp. 539-542, 2011. (ICICIC 2011, EI)

2010 (8 EI)

    • Tzung-Pei Hong, Chun-Wei Lin* and Tsung-Ching Lin, “The Compressed Multiple Fuzzy-Term Frequent Pattern Tree,” The National Conference on Fuzzy Theory and Its Applications, pp. 164-168, 2010. (iFuzzy 2010)
    • Tzung-Pei Hong, Ting-I Chien, Yu-Lung Wu and Chun-Wei Lin, “Evolutionary Computation for Good Makespans of Scheduling Problems with Mold Constraints,” The International Conference on Innovative Computing, Information and Control, Vol. 5, No. 6, pp. 1893-1898, 2010. (ICICIC 2010, EI)
    • Tzung-Pei Hong, Chun-Wei Lin* and Tsung-Ching Lin, “Mining Complete Fuzzy Frequent Itemsets by Tree Structures,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 563-567, 2010. (IEEE SMC 2010, IEEE, EI)
    • Tzung-Pei Hong, Tung-Kuo Yang, Chun-Wei Lin and Shyue-Liang Wang, “Evolutionary Privacy-Preserving Data Mining,” The World Automation Congress, pp. 1-7, 2010. (WAC 2010, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Hsin-Yi Chen and Hung-Yu Gao, “Incrementally Mining High Utility Itemsets in Dynamic Databases,” IEEE International Conference on Granular Computing, pp. 303-307, 2010. (IEEE GrC 2010, EI)
    • Tzung-Pei Hong, Chun-Wei Lin, Guo-Cheng Lan and Cho-Han Lee, “Maintenance of High Average-Utility Itemsets for Record Deletion,” The International Conference of System Science and Engineering, pp. 75-79, 2010. (ICSSE 2010, EI)
    • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “A Two-Phase Fuzzy Mining Approach,” IEEE International Conference on Fuzzy Systems, pp. 494-498, 2010. (FUZZ-IEEE 2010, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Maintaining High Utility Pattern Trees in Dynamic Databases,” The International Conference on Computer Engineering and Applications, pp. 304-308, 2010. (ICCEA 2010, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Efficiently Mining High Average Utility Itemsets with a Tree Structure,” The Asian Conference on Intelligent Information and Database Systems, pp. 131-139, 2010. (ACIIDS 2010, LNCS, EI)

2009 (4 EI)

    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “High Utility Pattern Trees,” The Workshop on Object-Oriented Technology and Applications, 2009.
    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “A New Tree Structure for Mining Frequent Itemsets from Uncertain Databases,” The National Conference on Fuzzy Theory and Its Applications, pp. 575-579, 2009. (iFuzzy 2009)
    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Mining Up-to-Date Knowledge Based on Tree Structures,” The International Conference on Soft Computing and Pattern Recognition, pp. 123-127, 2009. (SoCPAR 2009, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “An Efficient FUSP-Tree Update Algorithm for Deleted Data in Customer Sequences,” The International Conference on Innovative Computing, Information and Control, 2009. (ICICIC 2009, EI)
    • Tzung-Pei Hong, Hsin-Yi Chen, Chun-Wei Lin and Sheng-Tun Li, “Maintaining the Pre-large FUSP trees for Record Deletion,” The International Conference on New Trends in Information and Service Science, pp.948-953, 2009. (NISS 2009, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Fuzzy Data Mining Based on the Compressed Fuzzy FP-trees,” IEEE International Conference on Fuzzy Systems, pp. 1068-1072, 2009. (FUZZ-IEEE 2009, IEEE, EI)

2008 (5 EI)

    • Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Mining Fuzzy Association Rules Based on Fuzzy FP-trees,” The National Conference on Fuzzy Theory and Its Applications, pp. 11-16, 2008. (iFuzzy 2008)
    • Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, and Hsin-Yi Chen, “An FUSP-Tree Maintenance Algorithm for Record Modification,” IEEE International Conference on Data Mining, Foundation of Data Mining Workshop, pp. 649-653, 2008. (ICDM 2008, IEEE, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu and Wen-Yang Lin, “An Incremental FUSP-Tree Maintenance Algorithm,” The International Conference on Intelligent System Design and Applications, Vol. 1, pp. 445 – 449, 2008. (ISDA 2008, EI)
    • Tzung-Pei Hong, Hsin-Yi Chen, Chun-Wei Lin and Sheng-Tun Li, “Incrementally Fast Updated Sequential Pattern Trees,” The International Conference on Machine Learning and Cybernetics, Vol. 7, pp. 3991-3996, 2008. (ICMLC 2008, EI)
    • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Mining with Prelarge Trees for Record Modification,” The International Conference on Innovative Computing, Information and Control, pp. 328-328, 2008. (ICICIC 2008, EI)
    • Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu and Been-Chian Chien, “Incremental Mining with Prelarge Trees,” The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 169-178, 2008. (IEA/AIE 2008, LNCS, EI)

2007 (3 EI)

    • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Maintenance of the Prelarge Trees for Record Deletion,” WSEAS International Conference on Applied Mathematics, pp.105-110, 2007.
    • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Maintaining the Fast Updated FP-tree from Modified Records Based on Pre-large Itemsets,” The International Conference on Innovative Computing, Information and Control, pp. 301-305, 2007. (ICICIC 2007, EI, Best Paper Award)
    • C. Rosa Yeh, Yu-Hui Tao, Tzung-Pei Hong, Wen-Yang Lin, Pi-Chi Chen, Chun-Hsin Wu, Jerry Lin, “Adapting Monopoly as an Intelligent Learning Game for Teaching Dynamic Competitive Strategy,” The International joint Conference on e-Commerce, e-Administration, e-Society, and e-Education, 2007.
    • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining,” IEEE Symposium on Computational Intelligence and Data Mining, pp. 598-603, 2007. (IEEE CIDM 2007, IEEE, EI)
    • Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts,” The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 675-684, 2007. (IEA/AIE 2007, LNCS, EI)

2006 (2 EI)

    • Tzung-Pei Hong, Jun-Wei Lin and Yu-Lung Wu, “A Fast Updated Frequent Pattern Tree,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 2267-2272, 2006. (IEEE SMC 2006, IEEE, EI)
    • Tzung-Pei Hong, Jun-Wei Lin and Yu-Lung Wu, “Maintenance of Fast Updated Frequent Pattern Trees for Record Modification,” The International Conference on Innovative Computing, Information and Control, pp. 570-573, 2006. (ICICIC 2006, EI)
    • Tzung-Pei Hong, Jun-Wei Lin and Yu-Lung Wu, “A Fast Updated Frequent Pattern Tree for Deletion of Records,” The International Conference on Information Management, pp. 171, 2006. (ICIM 2006)

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