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ORCIDPhilippe Fournier-Viger
Person information
- affiliation: Harbin Institute of Technology, School of Natural Sciences and Humanities, Shenzhen, China
- affiliation: University of Quebec in Montreal, Department of Computer Sciences, QC, Canada
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2020 – today
- 2022
[j140]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies. Appl. Intell. 52(6): 6106-6128 (2022)- [j139]Yuehua Wang, Youxi Wu
, Yan Li, Fang Yao, Philippe Fournier-Viger, Xindong Wu:
Self-adaptive nonoverlapping sequential pattern mining. Appl. Intell. 52(6): 6646-6661 (2022) - [j138]Philippe Fournier-Viger, Ying Wang, Peng Yang, Jerry Chun-Wei Lin, Unil Yun, Rage Uday Kiran:
TSPIN: mining top-k stable periodic patterns. Appl. Intell. 52(6): 6917-6938 (2022) - [j137]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Mining interesting sequences with low average cost and high average utility. Appl. Intell. 52(7): 7136-7157 (2022) - [j136]Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199: 116782 (2022) - [j135]Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Zuzana Komínková Oplatková, Philippe Fournier-Viger, Unil Yun:
An efficient parallel algorithm for mining weighted clickstream patterns. Inf. Sci. 582: 349-368 (2022) - [j134]N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Philippe Fournier-Viger, Ngoc Thanh Nguyen, Bay Vo:
Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases. Inf. Sci. 587: 41-62 (2022) - [j133]Youxi Wu, Zhu Yuan, Yan Li, Lei Guo, Philippe Fournier-Viger, Xindong Wu:
NWP-Miner: Nonoverlapping weak-gap sequential pattern mining. Inf. Sci. 588: 124-141 (2022) - [j132]Ham Nguyen, Tuong Le, Minh Nguyen, Philippe Fournier-Viger, Vincent S. Tseng, Bay Vo:
Mining frequent weighted utility itemsets in hierarchical quantitative databases. Knowl. Based Syst. 237: 107709 (2022) - [j131]Guangning Xu, Di Xian, Philippe Fournier-Viger, Xutao Li, Yunming Ye, Xiuqing Hu:
AM-ConvGRU: a spatio-temporal model for typhoon path prediction. Neural Comput. Appl. 34(8): 5905-5921 (2022) - [j130]Yulin He, Xuan Ye, Joshua Zhexue Huang, Philippe Fournier-Viger:
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression. ACM Trans. Intell. Syst. Technol. 13(2): 30:1-30:26 (2022) - [j129]Youxi Wu, Lanfang Luo, Yan Li, Lei Guo, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 16(3): 51:1-51:21 (2022) - [j128]M. Saqib Nawaz, Philippe Fournier-Viger, Unil Yun, Youxi Wu, Wei Song:
Mining High Utility Itemsets with Hill Climbing and Simulated Annealing. ACM Trans. Manag. Inf. Syst. 13(1): 4:1-4:22 (2022) - [i12]Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger:
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. CoRR abs/2201.08554 (2022) - [i11]Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. CoRR abs/2202.13041 (2022) - [i10]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. CoRR abs/2204.12704 (2022) - 2021
- [j127]Jerry Chun-Wei Lin, Philippe Fournier-Viger, Vincent S. Tseng, Philip S. Yu:
IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications. IEEE Access 9: 16604-16607 (2021) - [j126]Hamido Fujita, Philippe Fournier-Viger, Jun Sasaki, Moonis Ali:
Advances in Theory and Applications of Artificial Intelligence. AI Mag. 42(1): 86-87 (2021) - [j125]M. Saqib Nawaz, M. Zohaib Nawaz, Osman Hasan, Philippe Fournier-Viger, Meng Sun:
Proof searching and prediction in HOL4 with evolutionary/heuristic and deep learning techniques. Appl. Intell. 51(3): 1580-1601 (2021) - [j124]Xiangyu Liu, Xinzheng Niu, Philippe Fournier-Viger:
Fast Top-K association rule mining using rule generation property pruning. Appl. Intell. 51(4): 2077-2093 (2021) - [j123]M. Saqib Nawaz, Philippe Fournier-Viger, Abbas Shojaee, Hamido Fujita:
Using artificial intelligence techniques for COVID-19 genome analysis. Appl. Intell. 51(5): 3086-3103 (2021) - [j122]Mourad Nouioua, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Wensheng Gan:
FHUQI-Miner: Fast high utility quantitative itemset mining. Appl. Intell. 51(10): 6785-6809 (2021) - [j121]M. Saqib Nawaz, M. Zohaib Nawaz, Osman Hasan, Philippe Fournier-Viger, Meng Sun:
An evolutionary/heuristic-based proof searching framework for interactive theorem prover. Appl. Soft Comput. 104: 107200 (2021) - [j120]Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Unil Yun, Philippe Fournier-Viger:
A predictive GA-based model for closed high-utility itemset mining. Appl. Soft Comput. 108: 107422 (2021) - [j119]Mustapha Bouakkaz, Youcef Ouinten, Sabine Loudcher, Philippe Fournier-Viger:
Enhancing link prediction in dynamic networks using content aggregation. Clust. Comput. 24(4): 3055-3063 (2021) - [j118]Jimmy Ming-Tai Wu, Gautam Srivastava, Alireza Jolfaei, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
Hiding sensitive information in eHealth datasets. Future Gener. Comput. Syst. 117: 169-180 (2021) - [j117]Jaroslav Frnda, Michal Pavlicko, Marek Durica, Lukas Sevcik, Miroslav Voznák, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
A new perceptual evaluation method of video quality based on neural network. Intell. Data Anal. 25(3): 571-587 (2021) - [j116]Jongseong Kim, Unil Yun, Hyunsoo Kim, Taewoong Ryu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Witold Pedrycz:
Average utility driven data analytics on damped windows for intelligent systems with data streams. Int. J. Intell. Syst. 36(10): 5741-5769 (2021) - [j115]Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna:
Mining local periodic patterns in a discrete sequence. Inf. Sci. 544: 519-548 (2021) - [j114]Lior Shabtay, Philippe Fournier-Viger, Rami Yaari, Itai Dattner:
A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data. Inf. Sci. 553: 353-375 (2021) - [j113]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun, Hamido Fujita:
Efficient algorithms for mining frequent high utility sequences with constraints. Inf. Sci. 568: 239-264 (2021) - [j112]Heonho Kim, Unil Yun, Yoonji Baek, Hyunsoo Kim, Hyoju Nam, Jerry Chun-Wei Lin, Philippe Fournier-Viger:
Damped sliding based utility oriented pattern mining over stream data. Knowl. Based Syst. 213: 106653 (2021) - [j111]Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
HANP-Miner: High average utility nonoverlapping sequential pattern mining. Knowl. Based Syst. 229: 107361 (2021) - [j110]Saleha Noor, Yi Guo, Syed Hamad Hassan Shah, Philippe Fournier-Viger, M. Saqib Nawaz:
Analysis of public reactions to the novel Coronavirus (COVID-19) outbreak on Twitter. Kybernetes 50(5): 1633-1653 (2021) - [j109]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Fast Utility Mining on Sequence Data. IEEE Trans. Cybern. 51(2): 487-500 (2021) - [j108]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. ACM Trans. Knowl. Discov. Data 15(5): 82:1-82:24 (2021) - [j107]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1306-1327 (2021) - [j106]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility. ACM Trans. Internet Techn. 21(1): 3:1-3:32 (2021) - [c163]Philippe Fournier-Viger, Yangming Chen, Farid Nouioua, Jerry Chun-Wei Lin:
Mining Partially-Ordered Episode Rules in an Event Sequence. ACIIDS 2021: 3-15 - [c162]M. Saqib Nawaz, Philippe Fournier-Viger, Wei Song, Jerry Chun-Wei Lin, Bernd Noack:
Investigating Crossover Operators in Genetic Algorithms for High-Utility Itemset Mining. ACIIDS 2021: 16-28 - [c161]Mourad Nouioua, Philippe Fournier-Viger, Wensheng Gan, Youxi Wu, Jerry Chun-Wei Lin, Farid Nouioua:
TKQ: Top-K Quantitative High Utility Itemset Mining. ADMA 2021: 16-28 - [c160]R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy:
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. IEEE BigData 2021: 252-262 - [c159]Yangming Chen, Philippe Fournier-Viger, Farid Nouioua, Youxi Wu:
Mining Partially-Ordered Episode Rules with the Head Support. DaWaK 2021: 266-271 - [c158]Md. Motaher Hossain, Youxi Wu, Philippe Fournier-Viger, Zhao Li, Lei Guo, Yan Li:
HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining. ICBK 2021: 70-77 - [c157]Oualid Ouarem, Farid Nouioua, Philippe Fournier-Viger:
Mining Episode Rules from Event Sequences Under Non-overlapping Frequency. IEA/AIE (1) 2021: 73-85 - [c156]M. Saqib Nawaz, Philippe Fournier-Viger, Xinzheng Niu, Youxi Wu, Jerry Chun-Wei Lin:
COVID-19 Genome Analysis Using Alignment-Free Methods. IEA/AIE (1) 2021: 316-328 - [c155]Dongzi Chen, Xinzheng Niu, Philippe Fournier-Viger, Wenxin Wu, Bing Wang:
Map-Matching Based on HMM for Urban Traffic. IEA/AIE (2) 2021: 462-473 - [c154]Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, Philippe Fournier-Viger:
A Transaction Classification Model of Federated Learning. IEA/AIE (1) 2021: 509-518 - [c153]Acquah Hackman, Yu Huang, Philippe Fournier-Viger, Vincent S. Tseng:
Stable High Utility Itemset Mining. iiWAS 2021: 296-302 - [c152]Yangming Chen, Philippe Fournier-Viger, Farid Nouioua, Youxi Wu:
Sequence Prediction using Partially-Ordered Episode Rules. ICDM (Workshops) 2021: 574-580 - [c151]Mourad Nouioua, Philippe Fournier-Viger, Jun-Feng Qu, Jerry Chun-Wei Lin, Wensheng Gan, Wei Song:
CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets. ICDM (Workshops) 2021: 599-606 - [c150]Usman Ahmed, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Chien-Fu Cheng:
Privacy-Preserving Periodic Frequent Pattern Model in AIoT Applications. ISPACS 2021: 1-2 - [c149]Hanh-Thong Huynh, Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Mining High Utility Sequences with a Novel Utility Function. KSE 2021: 1-6 - [c148]M. Saqib Nawaz, Philippe Fournier-Viger, M. Zohaib Nawaz, Guoting Chen, Youxi Wu:
Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining. PKDD/ECML Workshops (2) 2021: 90-103 - [c147]Philippe Fournier-Viger, M. Saqib Nawaz, Wei Song, Wensheng Gan:
Machine Learning for Intelligent Industrial Design. PKDD/ECML Workshops (2) 2021: 158-172 - [c146]Wei Song, Chuanlong Zheng, Philippe Fournier-Viger:
Mining Skyline Frequent-Utility Itemsets with Utility Filtering. PRICAI (1) 2021: 411-424 - [c145]M. Saqib Nawaz, Meng Sun, Philippe Fournier-Viger:
Proof Searching in PVS Theorem Prover Using Simulated Annealing. ICSI (2) 2021: 253-262 - [e4]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e3]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [j105]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
Efficient Chain Structure for High-Utility Sequential Pattern Mining. IEEE Access 8: 40714-40722 (2020) - [j104]Bay Vo, Loan T. T. Nguyen, Trinh D. D. Nguyen, Philippe Fournier-Viger, Unil Yun:
A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases. IEEE Access 8: 85890-85899 (2020) - [j103]M. Saqib Nawaz, Philippe Fournier-Viger, Ji Zhang:
Proof Learning in PVS With Utility Pattern Mining. IEEE Access 8: 119806-119818 (2020) - [j102]José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records. IEEE Access 8: 134782-134799 (2020) - [j101]Xiang Li, Jiaxuan Li, Philippe Fournier-Viger, M. Saqib Nawaz, Jie Yao, Jerry Chun-Wei Lin:
Mining Productive Itemsets in Dynamic Databases. IEEE Access 8: 140122-140144 (2020) - [j100]Philippe Fournier-Viger, Peng Yang, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran:
Discovering rare correlated periodic patterns in multiple sequences. Data Knowl. Eng. 126: 101733 (2020) - [j99]Khin Nandar Win, Kenli Li, Jianguo Chen, Philippe Fournier-Viger, Keqin Li:
Fingerprint classification and identification algorithms for criminal investigation: A survey. Future Gener. Comput. Syst. 110: 758-771 (2020) - [j98]Jongseong Kim, Unil Yun, Eunchul Yoon, Jerry Chun-Wei Lin, Philippe Fournier-Viger:
One scan based high average-utility pattern mining in static and dynamic databases. Future Gener. Comput. Syst. 111: 143-158 (2020) - [j97]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Duy-Tai Dinh, Hoai Bac Le:
Mining correlated high-utility itemsets using various measures. Log. J. IGPL 28(1): 19-32 (2020) - [j96]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
EHAUSM: An efficient algorithm for high average utility sequence mining. Inf. Sci. 515: 302-323 (2020) - [j95]Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten:
NextRoute: a lossless model for accurate mobility prediction. J. Ambient Intell. Humaniz. Comput. 11(7): 2661-2681 (2020) - [j94]Jerry Chun-Wei Lin, Ting Li, Matin Pirouz, Ji Zhang, Philippe Fournier-Viger:
High average-utility sequential pattern mining based on uncertain databases. Knowl. Inf. Syst. 62(3): 1199-1228 (2020) - [j93]Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi, R. Uday Kiran:
Mining cost-effective patterns in event logs. Knowl. Based Syst. 191: 105241 (2020) - [j92]Jun-Feng Qu, Philippe Fournier-Viger, Mengchi Liu, Bo Hang, Feng Wang:
Mining high utility itemsets using extended chain structure and utility machine. Knowl. Based Syst. 208: 106457 (2020) - [j91]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
HUOPM: High-Utility Occupancy Pattern Mining. IEEE Trans. Cybern. 50(3): 1195-1208 (2020) - [j90]Yoonji Baek, Unil Yun, Eunchul Yoon, Philippe Fournier-Viger:
Uncertainty-Based Pattern Mining for Maximizing Profit of Manufacturing Plants With List Structure. IEEE Trans. Ind. Electron. 67(11): 9914-9926 (2020) - [j89]Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philippe Fournier-Viger, Xuan Wang, Philip S. Yu:
Utility-Driven Mining of Trend Information for Intelligent System. ACM Trans. Manag. Inf. Syst. 11(3): 14:1-14:28 (2020) - [j88]Philippe Fournier-Viger, Ganghuan He, Chao Cheng, Jiaxuan Li, Min Zhou, Jerry Chun-Wei Lin, Unil Yun:
A survey of pattern mining in dynamic graphs. WIREs Data Mining Knowl. Discov. 10(6) (2020) - [c144]Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes:
Mining Attribute Evolution Rules in Dynamic Attributed Graphs. DaWaK 2020: 167-182 - [c143]R. Uday Kiran, Sourabh Shrivastava, Philippe Fournier-Viger, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases. SIGSPATIAL/GIS 2020: 445-448 - [c142]Mourad Nouioua, Ying Wang, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu:
TKC: Mining Top-K Cross-Level High Utility Itemsets. ICDM (Workshops) 2020: 673-682 - [c141]Philippe Fournier-Viger, Ganghuan He, Min Zhou, Mourad Nouioua, Jiahong Liu:
Discovering Alarm Correlation Rules for Network Fault Management. ICSOC Workshops 2020: 228-239 - [c140]Khin Nandar Win, Jianguo Chen, Mingxing Duan, Guoqing Xiao, Kenli Li, Philippe Fournier-Viger, Keqin Li:
A Decision Support System to Provide Criminal Pattern Based Suggestions to Travelers. IEA/AIE 2020: 582-587 - [c139]Yunhong Zheng, Xinzheng Niu, Philippe Fournier-Viger, Fan Li, Lin Gao:
Distributed Density Peak Clustering of Trajectory Data on Spark. IEA/AIE 2020: 792-804 - [c138]Philippe Fournier-Viger, Yanjun Yang, Peng Yang, Jerry Chun-Wei Lin, Unil Yun:
TKE: Mining Top-K Frequent Episodes. IEA/AIE 2020: 832-845 - [c137]Philippe Fournier-Viger, Ying Wang, Jerry Chun-Wei Lin, José María Luna, Sebastián Ventura:
Mining Cross-Level High Utility Itemsets. IEA/AIE 2020: 858-871 - [c136]Jimmy Ming-Tai Wu, Qian Teng, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Chien-Fu Cheng:
Maintenance of Prelarge High Average-Utility Patterns in Incremental Databases. IEA/AIE 2020: 884-895 - [c135]Philippe Fournier-Viger, Yanjun Yang, Jerry Chun-Wei Lin, Jaroslav Frnda:
Mining Locally Trending High Utility Itemsets. PAKDD (2) 2020: 99-111 - [c134]M. Zohaib Nawaz, Osman Hasan, M. Saqib Nawaz, Philippe Fournier-Viger, Meng Sun:
Proof searching in HOL4 with genetic algorithm. SAC 2020: 513-520 - [e2]Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki:
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings. Lecture Notes in Computer Science 12144, Springer 2020, ISBN 978-3-030-55788-1 [contents]
2010 – 2019
- 2019
- [j87]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Youcef Djenouri, Chun-Hao Chen, Yuyu Zhang:
A Sanitization Approach to Secure Shared Data in an IoT Environment. IEEE Access 7: 25359-25368 (2019) - [j86]Tuong Le, Bay Vo, Philippe Fournier-Viger, Mi Young Lee, Sung Wook Baik:
SPPC: a new tree structure for mining erasable patterns in data streams. Appl. Intell. 49(2): 478-495 (2019) - [j85]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) - [j84]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences. Eng. Appl. Artif. Intell. 85: 1-20 (2019) - [j83]Thu-Lan Dam, Kenli Li, Philippe Fournier-Viger, Quang-Huy Duong:
CLS-Miner: efficient and effective closed high-utility itemset mining. Frontiers Comput. Sci. 13(2): 357-381 (2019) - [j82]Youcef Djenouri, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Djamel Djenouri, Asma Belhadi:
GPU-based swarm intelligence for Association Rule Mining in big databases. Intell. Data Anal. 23(1): 57-76 (2019) - [j81]Khin Nandar Win, Jianguo Chen, Yuedan Chen, Philippe Fournier-Viger:
PCPD: A Parallel Crime Pattern Discovery System for Large-Scale Spatiotemporal Data Based on Fuzzy Clustering. Int. J. Fuzzy Syst. 21(6): 1961-1974 (2019) - [j80]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh:
Mining local and peak high utility itemsets. Inf. Sci. 481: 344-367 (2019) - [j79]Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita:
Efficient algorithms to identify periodic patterns in multiple sequences. Inf. Sci. 489: 205-226 (2019) - [j78]Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Hamido Fujita:
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction. Inf. Sci. 496: 53-64 (2019) - [j77]Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Ahcène Bendjoudi:
Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases. Inf. Sci. 496: 326-342 (2019) - [j76]Loan T. T. Nguyen, Phuc Nguyen, Trinh D. D. Nguyen, Bay Vo, Philippe Fournier-Viger, Vincent S. Tseng:
Mining high-utility itemsets in dynamic profit databases. Knowl. Based Syst. 175: 130-144 (2019) - [j75]Philippe Fournier-Viger, Chao Cheng, Zhi Cheng, Jerry Chun-Wei Lin, Nazha Selmaoui-Folcher:
Mining significant trend sequences in dynamic attributed graphs. Knowl. Based Syst. 182 (2019) - [j74]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Efficient high average-utility itemset mining using novel vertical weak upper-bounds. Knowl. Based Syst. 183 (2019) - [j73]Youcef Djenouri, Zineb Habbas, Djamel Djenouri, Philippe Fournier-Viger:
Bee swarm optimization for solving the MAXSAT problem using prior knowledge. Soft Comput. 23(9): 3095-3112 (2019) - [j72]Jerry Chun-Wei Lin, Yuyu Zhang, Binbin Zhang, Philippe Fournier-Viger, Youcef Djenouri:
Hiding sensitive itemsets with multiple objective optimization. Soft Comput. 23(23): 12779-12797 (2019) - [j71]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
A Survey of Parallel Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 13(3): 25:1-25:34 (2019) - [j70]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds. IEEE Trans. Knowl. Data Eng. 31(2): 301-314 (2019) - [j69]