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ORCIDTzung-Pei Hong
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- affiliation: National University of Kaohsiung, Department of Computer Science and Information Engineering, Taiwan
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2020 – today
- 2023
[j270]Sajida Kousar, Sidra Arshad, Nasreen Kausar, Tzung-Pei Hong:
Construction of Nilpotent and Solvable Lie Algebra in Picture Fuzzy Environment. Int. J. Comput. Intell. Syst. 16(1): 37 (2023)- 2022
- [j269]Tzung-Pei Hong
, Chen-Chia Chiu, Ja-Hwung Su, Chun-Hao Chen:
Applicable Metamorphic Testing for Erasable-Itemset Mining. IEEE Access 10: 38545-38554 (2022) - [j268]Yi-Hsuan Chuang, Ja-Hwung Su, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Hsin-You Ou, Yi Lu, Chih-Chi Wang:
Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports. IEEE Access 10: 116273-116286 (2022) - [j267]Ja-Hwung Su, Tzung-Pei Hong, Yu-Tang Chen, Chu-Yu Chin:
High-performance content-based music retrieval via automated navigation and semantic features. Eng. Appl. Artif. Intell. 115: 105267 (2022) - [j266]Tzung-Pei Hong, Chi-Cheng Kao, Siang-Wei Chen, Chun-Hao Chen:
Mining multiplex interaction relationships from usage records in social networks. Intell. Data Anal. 26(4): 993-1005 (2022) - [j265]Yu-Po Kuo, Ya-Ju Yu, Tzung-Pei Hong, Wei Kuang Lai:
Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks. Sensors 22(19): 7147 (2022) - [c274]Chun-Hao Chen, Yu-Qi Huang, Tzung-Pei Hong:
Using GPUs to Speed Up Genetic-Fuzzy Data Mining with Evaluation on All Large Itemsets. ACIIDS (1) 2022: 17-26 - [c273]Tzung-Pei Hong, Wei-Teng Hung, Wei-Ming Huang, Yu-Chuan Tsai:
Incremental Fuzzy Utility Mining with Tree Structure. Big Data 2022: 6202-6206 - [c272]Tzung-Pei Hong, Jia-Xiang Li, Yu-Chuan Tsai, Wei-Ming Huang:
Unified Temporal Erasable Itemset Mining with a Lower-Bound Strategy. Big Data 2022: 6207-6211 - [c271]Tzung-Pei Hong, Wei-Chou Chen, Chih-Hung Wu, Bo-Wen Xiao, Bing-Yang Chiang, Zhi-Xun Shen:
Information Extraction and Analysis on Certificates and Medical Receipts. ICCE 2022: 1-4 - [c270]Tang-Kai Yin, Liang-Yue Wu, Tzung-Pei Hong:
Axial Attention Inside a U-Net for Semantic Segmentation of 3D Sparse LiDAR Point Clouds. IV 2022: 1543-1549 - [c269]Chun-Hao Chen, Wei-Hsun Lai, Kudakwashe Chideme, Tzung-Pei Hong:
GPU-based Advanced Long-Short Pair Trading Strategy Optimization Technique. SCIS/ISIS 2022: 1-4 - [e13]Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukeyev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki:
Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13757, Springer 2022, ISBN 978-3-031-21742-5 [contents] - [e12]Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukeyev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki:
Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13758, Springer 2022, ISBN 978-3-031-21966-5 [contents] - [e11]Ajith Abraham, Niketa Gandhi, Thomas Hanne, Tzung-Pei Hong, Tatiane Nogueira Rios, Weiping Ding:
Intelligent Systems Design and Applications - 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021) Held During December 13-15, 2021. Lecture Notes in Networks and Systems 418, Springer 2022, ISBN 978-3-030-96307-1 [contents] - 2021
- [j264]Tzung-Pei Hong, Wei-Ming Huang, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
A Bitmap Approach for Mining Erasable Itemsets. IEEE Access 9: 106029-106038 (2021) - [j263]Jerry Chun-Wei Lin, Usman Ahmed, Gautam Srivastava, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Youcef Djenouri:
Linguistic frequent pattern mining using a compressed structure. Appl. Intell. 51(7): 4806-4823 (2021) - [j262]Tuong Le, Thanh-Long Nguyen, Bao Huynh, Hung Nguyen, Tzung-Pei Hong, Václav Snásel:
Mining colossal patterns with length constraints. Appl. Intell. 51(12): 8629-8640 (2021) - [j261]Tram Nguyen, Toan Bui, Hamido Fujita, Tzung-Pei Hong, Ho Dac Loc, Václav Snásel, Bay Vo:
Multiple-objective optimization applied in extracting multiple-choice tests. Eng. Appl. Artif. Intell. 105: 104439 (2021) - [j260]Dominik Slezak, Tzung-Pei Hong, Leon S. L. Wang:
Preface: Information Granulation in Data Science and Scalable Computing. Fundam. Informaticae 182(2) (2021) - [j259]S. R. Kannan, Rajesh Kumar Mohapatra, Tzung-Pei Hong:
The invention of new sequences through classifying and counting fuzzy matrices. Soft Comput. 25(15): 9663-9676 (2021) - [j258]S. R. Kannan, Esha Kashyap, Mark Last, Tzung-Pei Hong:
Penalty term based suitable fuzzy intuitionistic possibilistic clustering: analyzing high dimensional gene expression cancer database. Soft Comput. 25(15): 9839-9857 (2021) - [j257]Quang-Thinh Bui, Bay Vo, Václav Snásel, Witold Pedrycz, Tzung-Pei Hong, Ngoc Thanh Nguyen, Mu-Yen Chen:
SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data. IEEE Trans. Fuzzy Syst. 29(1): 75-89 (2021) - [c268]Chun-Hao Chen, Chong-You Ye, Yeong-Chyi Lee, Tzung-Pei Hong:
A SPEA-Based Group Trading Strategy Portfolio Optimization Algorithm. ACIIDS 2021: 583-592 - [c267]Tzung-Pei Hong, Hsiu-Wei Chiu, Shih-Feng Huang, Yi-Ting Chen:
Deep-learning-based Extraction of Electronic Component Parameters from Datasheets. IEEE BigData 2021: 5501-5506 - [c266]Chun-Hao Chen, Wei-Hsun Lai, Tzung-Pei Hong:
An Effective Correlation-Based Pair Trading Strategy Using Genetic Algorithms. ICCCI 2021: 255-263 - [c265]Tzung-Pei Hong, Meng-Ping Ku, Hsiu-Wei Chiu, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin:
A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets. IEA/AIE (1) 2021: 66-72 - [c264]Tzung-Pei Hong, Hao Chang, Shu-Min Li, Yu-Chuan Tsai:
A Dedicated Temporal Erasable-Itemset Mining Algorithm. ISDA 2021: 977-985 - [c263]Tzung-Pei Hong, Wei-Chun Peng, Ja-Hwung Su, Shyue-Liang Wang:
Fuzzy Adaptive Focal Loss for Imbalanced Datasets. IST 2021: 1-5 - [c262]Been-Chian Chien, Yueh-Chia Hsu, Tzung-Pei Hong:
An Efficient Class-incremental Learning Strategy with Frozen Weights and Pseudo Exemplars. MISNC 2021: 86-90 - [c261]Tzung-Pei Hong, Hao Chang, Shu-Min Li, Yu-Chuan Tsai:
A Unified Temporal Erasable Itemset Mining Approach. TAAI 2021: 194-198 - [e10]Tzung-Pei Hong, Krystian Wojtkiewicz, Rathachai Chawuthai, Pawel Sitek:
Recent Challenges in Intelligent Information and Database Systems - 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings. Communications in Computer and Information Science 1371, Springer 2021, ISBN 978-981-16-1684-6 [contents] - [e9]Ajith Abraham, Thomas Hanne, Oscar Castillo, Niketa Gandhi, Tatiane Nogueira Rios, Tzung-Pei Hong:
Hybrid Intelligent Systems - 20th International Conference on Hybrid Intelligent Systems (HIS 2020), Virtual Event, India, December 14-16, 2020. Advances in Intelligent Systems and Computing 1375, Springer 2021, ISBN 978-3-030-73049-9 [contents] - 2020
- [j256]Bay Vo, Loan T. T. Nguyen, Nguyen Bui, Trinh D. D. Nguyen, Van-Nam Huynh, Tzung-Pei Hong:
An Efficient Method for Mining Closed Potential High-Utility Itemsets. IEEE Access 8: 31813-31822 (2020) - [j255]Bay Vo, Le V. Nguyen, Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Loan T. T. Nguyen, Tzung-Pei Hong:
Mining Correlated High Utility Itemsets in One Phase. IEEE Access 8: 90465-90477 (2020) - [j254]Thi-Thiet Pham, Tung Do, Anh Nguyen, Bay Vo, Tzung-Pei Hong:
An Efficient Method for Mining Top-K Closed Sequential Patterns. IEEE Access 8: 118156-118163 (2020) - [j253]Chun-Hao Chen, Hsiang Chou, Tzung-Pei Hong, Yusuke Nojima:
Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules. IEEE Access 8: 123996-124006 (2020) - [j252]Aman Singh, Pinku Nath, Vivek Singhal, Divya Anand, Kavita, Sahil Verma, Tzung-Pei Hong:
A New Clinical Spectrum for the Assessment of Nonalcoholic Fatty Liver Disease Using Intelligent Methods. IEEE Access 8: 138470-138480 (2020) - [j251]Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Katherine Shu-Min Li, Shyue-Liang Leon Wang, Jerry Chun-Wei Lin:
Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets. IEEE Access 8: 153692-153706 (2020) - [j250]Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Unil Yun, Zuzana Komínková Oplatková, Tzung-Pei Hong:
Efficient algorithms for mining clickstream patterns using pseudo-IDLists. Future Gener. Comput. Syst. 107: 18-30 (2020) - [j249]Thang Mai, Loan T. T. Nguyen, Bay Vo, Unil Yun, Tzung-Pei Hong:
Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules. Sensors 20(4): 1078 (2020) - [j248]Toan Bui, Tram Nguyen, Huy Minh Huynh, Bay Vo, Jerry Chun-Wei Lin, Tzung-Pei Hong:
Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests. Sci. Program. 2020: 7081653:1-7081653:15 (2020) - [j247]Yu-Chuan Tsai, Shyue-Liang Wang, I-Hsien Ting, Tzung-Pei Hong:
Flexible sensitive K-anonymization on transactions. World Wide Web 23(4): 2391-2406 (2020) - [c260]Ja-Hwung Su, Tzung-Pei Hong, Hsuan-Hao Yeh:
Music Classification by Automated Relevance Feedbacks. ACIIDS (Companion) 2020: 25-34 - [c259]Pei-Yu Huang, Chih-Sheng Hsu, Tzung-Pei Hong, Yan-Zhih Wang, Shin-Feng Huang, Shu-Min Li:
Automatic Parameter Setting in Hough Circle Transform. ACIIDS (1) 2020: 527-535 - [c258]Chun-Hao Chen, Che-Kai Fan, Tzung-Pei Hong:
Construction of an Intelligent Tennis Coach Based on Kinect and a Sensor-Based Tennis Racket. ACIIDS (1) 2020: 536-544 - [c257]Tzung-Pei Hong, Ming-Jhe Hu, Tank-Kai Yin, Shyue-Liang Wang:
Extracting Multi-Scale Rotation-Invariant Features in Convolution Neural Networks. IEEE BigData 2020: 5360-5365 - [c256]Jerry Chun-Wei Lin, Gautam Srivastava, Yuanfa Li, Tzung-Pei Hong, Shyue-Liang Wang:
Mining High-Utility Sequential Patterns in Uncertain Databases. IEEE BigData 2020: 5373-5380 - [c255]Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
One-Phase Temporal Fuzzy Utility Mining. FUZZ-IEEE 2020: 1-5 - [c254]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Youcef Djenouri, Gautam Srivastava, Tzung-Pei Hong:
Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures. FUZZ-IEEE 2020: 1-8 - [c253]Tzung-Pei Hong, Meng-Ping Ku, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin:
A Tree-based Fuzzy Average-Utility Mining Algorithm. ICDM (Workshops) 2020: 669-672 - [c252]Chen-Sen Ouyang, Ming-Hsu Wu, Tzung-Pei Hong:
An Automatic Labeling Approach for Stable and Unstable Human Gait Classification in Videos. MISNC/IEMT 2020: 13:1-13:4 - [c251]Ja-Hwung Su, Tzung-Pei Hong, Yao-Hong Hsieh, Shu-Min Li:
Effective Music Emotion Recognition by Segment-based Progressive Learning. SMC 2020: 3072-3076
2010 – 2019
- 2019
- [j246]Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong, Subbaiya Rammohan Kannan:
Post-Analysis Framework for Mining Actionable Patterns Using Clustering and Genetic Algorithms. IEEE Access 7: 108101-108115 (2019) - [j245]Chun-Hao Chen, Cheng-Yu Lu, Tzung-Pei Hong, Jerry Chun-Wei Lin, Matteo Gaeta:
An Effective Approach for the Diverse Group Stock Portfolio Optimization Using Grouping Genetic Algorithm. IEEE Access 7: 155871-155884 (2019) - [j244]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining of skyline patterns by considering both frequent and utility constraints. Eng. Appl. Artif. Intell. 77: 229-238 (2019) - [j243]Wei-Ming Huang, Tzung-Pei Hong, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining. Int. J. Comput. Intell. Syst. 12(2): 613-626 (2019) - [j242]Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong, Ding-Chau Wang, Jerry Chun-Wei Lin, Munkhjargal Gankhuyag:
A fuzzy GGA-based approach to speed up the evolutionary process for diverse group stock portfolio optimization. J. Intell. Fuzzy Syst. 37(6): 7465-7479 (2019) - [c250]Ja-Hwung Su, Chu-Yu Chin, Tzung-Pei Hong, Jung-Jui Su:
Content-Based Music Classification by Advanced Features and Progressive Learning. ACIIDS (2) 2019: 117-130 - [c249]Tzung-Pei Hong, Yu-Chiao Yang, Ja-Hwung Su, Chun-Hao Chen:
Content-Based Motorcycle Counting for Traffic Management by Image Recognition. ACIIDS (2) 2019: 180-188 - [c248]Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
Mining Temporal Fuzzy Utility Itemsets by Tree Structure. IEEE BigData 2019: 2659-2663 - [c247]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Tomasz Wiktorski, Tzung-Pei Hong, Matin Pirouz:
A GA-based Framework for Mining High Fuzzy Utility Itemsets. IEEE BigData 2019: 2708-2715 - [c246]Chun-Hao Chen, Wan-Yi Shen, Mu-En Wu, Tzung-Pei Hong:
A Divide-and-Conquer-based Approach for Diverse Group Stock Portfolio Optimization Using Island-based Genetic Algorithms. CEC 2019: 1473-1471 - [c245]Tzung-Pei Hong, Ping-Hung Chiang, Wei-Ming Huang, Jerry Chun-Wei Lin:
Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights. ICDM Workshops 2019: 982-986 - [c244]Chun-Hao Chen, Munkhjargal Gankhuyag, Tzung-Pei Hong, Mu-En Wu, Jimmy Ming-Tai Wu:
A Multiobjective-Based Group Trading Strategy Portfolio Optimization Technique. ICGEC 2019: 87-93 - [c243]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Tzung-Pei Hong, Ting Li:
Efficient Mining of High Average-Utility Sequential Patterns from Uncertain Databases. SMC 2019: 1989-1994 - [c242]Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Zuzana Komínková Oplatková, Tzung-Pei Hong:
Mining Clickstream Patterns Using IDLists. SMC 2019: 2007-2012 - [c241]Chun-Hao Chen, Chia-Yuan Cheng, Tzung-Pei Hong, Mu-En Wu, Kawuu W. Lin, Jerry Chun-Wei Lin:
An Evolutionary-based Algorithm for Multi-Period Grouping Stock Portfolio Optimization. SMC 2019: 2530-2534 - [c240]Tzung-Pei Hong, Hsiang-Wei Chen, Wei-Ming Huang, Chun-Hao Chen:
Erasable Pattern Mining with Quantitative Information. TAAI 2019: 1-4 - [e8]Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawinski:
Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11431, Springer 2019, ISBN 978-3-030-14798-3 [contents] - [e7]Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawinski:
Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11432, Springer 2019, ISBN 978-3-030-14801-0 [contents] - 2018
- [j241]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Jeng-Shyang Pan, Tzung-Pei Hong:
Efficiently updating the discovered high average-utility itemsets with transaction insertion. Eng. Appl. Artif. Intell. 72: 136-149 (2018) - [j240]Huong Bui, Bay Vo, Ham Nguyen, Tu-Anh Nguyen-Hoang, Tzung-Pei Hong:
A weighted N-list-based method for mining frequent weighted itemsets. Expert Syst. Appl. 96: 388-405 (2018) - [j239]Kit Yan Chan, Mehmet Emin Aydin, Huseyin Seker, Vasile Palade, Tzung-Pei Hong:
Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data. Int. J. Fuzzy Syst. 20(4): 1203-1204 (2018) - [j238]Jerry Chun-Wei Lin, Yuyu Zhang, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion. Int. J. Fuzzy Syst. 20(8): 2440-2457 (2018) - [j237]Tzung-Pei Hong, Jimmy Ming-Tai Wu, Yan-Kang Li, Chun-Hao Chen:
Generalizing Concept-Drift Patterns for Fuzzy Association Rules. J. Netw. Intell. 3(2): 126-137 (2018) - [j236]Chuan-Kang Ting, Rung-Tzuo Liaw, Ting-Chen Wang, Tzung-Pei Hong:
Mining fuzzy association rules using a memetic algorithm based on structure representation. Memetic Comput. 10(1): 15-28 (2018) - [j235]Giuseppe D'Aniello, Matteo Gaeta, Tzung-Pei Hong:
Effective Quality-Aware Sensor Data Management. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 65-77 (2018) - [j234]Ja-Hwung Su, Tzung-Pei Hong, Chu-Yu Chin, Zhi-Feng Liao, Shyr-Yuan Cheng:
Mining and applications of repeating patterns. Vietnam. J. Comput. Sci. 5(3-4): 251-261 (2018) - [j233]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Tzung-Pei Hong, Hamido Fujita:
A survey of incremental high-utility itemset mining. WIREs Data Mining Knowl. Discov. 8(2) (2018) - [c239]Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong, Ding-Chau Wang, Jerry Chun-Wei Lin:
An Approach for Diverse Group Stock Portfolio Optimization Using the Fuzzy Grouping Genetic Algorithm. ACIIDS (1) 2018: 510-518 - [c238]Yu-Chuan Tsai, Shyue-Liang Wang, I-Hsien Ting, Tzung-Pei Hong:
Flexible Anonymization of Transactions with Sensitive Items. BESC 2018: 201-206 - [c237]Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong:
An Approach for Optimizing Group Stock Portfolio Using Multi-Objective Genetic Algorithm. BESC 2018: 213-215 - [c236]Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Tzung-Pei Hong, Philip S. Yu:
CoUPM: Correlated Utility-based Pattern Mining. IEEE BigData 2018: 2607-2616 - [c235]Tzung-Pei Hong, Chia-Che Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
Reducing Database Scan in Maintaining Erasable Itemsets from Product Deletion. IEEE BigData 2018: 2627-2632 - [c234]Tzung-Pei Hong, Yu-Chiao Yang, Ja-Hwung Su, Shyue-Liang Wang:
Recognition and Counting of Motorcycles by Fusing Support Vector Machine and Deep Learning. ICS 2018: 157-162 - [c233]Tzung-Pei Hong, Chia-Che Li, Shyue-Liang Wang, Chun-Wei Lin:
Maintenance of Erasable Itemsets for Product Deletion. MISNC 2018: 18:1-18:4 - [c232]Chun-Hao Chen, Yu-Hsuan Chen, Mu-En Wu, Tzung-Pei Hong:
A Sophisticated Optimization Algorithm for Obtaining a Group Trading Strategy Portfolio and Its Stop-Loss and Take-Profit Points. SMC 2018: 3417-3420 - [c231]Jerry Chun-Wei Lin, Yuyu Zhang, Chun-Hao Chen, Jimmy Ming-Tai Wu, Chien-Ming Chen, Tzung-Pei Hong:
A Multiple Objective PSO-Based Approach for Data Sanitization. TAAI 2018: 148-151 - [c230]Ja-Hwung Su, Tzung-Pei Hong, Jyun-Yu Li, Jung-Jui Su:
Personalized Content-Based Music Retrieval by User-Filtering and Query-Refinement. TAAI 2018: 177-180 - [e6]Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawinski:
Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10751, Springer 2018, ISBN 978-3-319-75416-1 [contents] - [e5]Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawinski:
Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10752, Springer 2018, ISBN 978-3-319-75419-2 [contents] - 2017
- [j232]Bay Vo, Tuong Le, Giang Nguyen, Tzung-Pei Hong:
Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets. IEEE Access 5: 3111-3120 (2017) - [j231]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong:
EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds. IEEE Access 5: 12927-12940 (2017) - [j230]Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Temporal-Based Fuzzy Utility Mining. IEEE Access 5: 26639-26652 (2017) - [j229]Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong, Ji Zhang:
A two-phase approach to mine short-period high-utility itemsets in transactional databases. Adv. Eng. Informatics 33: 29-43 (2017) - [j228]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su, Bay Vo:
A fast algorithm for mining high average-utility itemsets. Appl. Intell. 47(2): 331-346 (2017) - [j227]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Han-Chieh Chao, Tzung-Pei Hong:
Efficiently mining frequent itemsets with weight and recency constraints. Appl. Intell. 47(3): 769-792 (2017) - [j226]Jheng-Nan Huang, Tzung-Pei Hong, Ming-Chao Chiang:
An effective method for approximate representation of frequent itemsets. Intell. Data Anal. 21(3): 597-616 (2017) - [j225]Jeng-Shyang Pan, Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently mining of skyline frequent-utility patterns. Intell. Data Anal. 21(6): 1407-1423 (2017) - [j224]Tzung-Pei Hong, Been-Chian Chien, Wen-Yang Lin, Shyue-Liang Wang:
Editorial. Intell. Data Anal. 21(S1): S1-S3 (2017) - [j223]Shyue-Liang Wang, Min-Jye Hsiu, Yu-Chuan Tsai, I-Hsien Ting, Tzung-Pei Hong:
Analysis of privacy and utility tradeoffs in anonymized mobile context streams. Intell. Data Anal. 21(S1): S21-S39 (2017) - [j222]Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Jimmy Ming-Tai Wu, Justin Zhan:
Efficient Mining of Multiple Fuzzy Frequent Itemsets. Int. J. Fuzzy Syst. 19(4): 1032-1040 (2017) - [j221]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Han-Chieh Chao:
Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases. Int. J. Inf. Technol. Decis. Mak. 16(6): 1549-1580 (2017) - [j220]Jerry Chun-Wei Lin, Tzung-Pei Hong, Philippe Fournier-Viger, Qiankun Liu, Jia-Wei Wong, Justin Zhan:
Efficient hiding of confidential high-utility itemsets with minimal side effects. J. Exp. Theor. Artif. Intell. 29(6): 1225-1245 (2017) - [j219]Tzung-Pei Hong, Yuan-Ching Peng, Wen-Yang Lin, Shyue-Liang Wang:
Empirical comparison of level-wise hierarchical multi-population genetic algorithm. J. Inf. Telecommun. 1(1): 66-78 (2017) - [j218]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Han-Chieh Chao:
FDHUP: Fast algorithm for mining discriminative high utility patterns. Knowl. Inf. Syst. 51(3): 873-909 (2017) - [j217]Min-Thai Wu, Tzung-Pei Hong, Chung-Nan Lee:
A dynamic-edge ACS algorithm for continuous variables problems. Nat. Comput. 16(2): 339-352 (2017) - [j216]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently mining uncertain high-utility itemsets. Soft Comput. 21(11): 2801-2820 (2017) - [j215]