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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
- 2023
[j160]Hanane Amirat
, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten, Mohammed Lamine Kherfi, Younes Guellouma:
Incremental tree-based successive POI recommendation in location-based social networks. Appl. Intell. 53(7): 7562-7598 (2023)- [j159]Usman Ahmed, Jerry Chun-Wei Lin, Philippe Fournier-Viger:
Federated deep active learning for attention-based transaction classification. Appl. Intell. 53(8): 8631-8643 (2023) - [j158]M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He, Qin Zhang:
PSAC-PDB: Analysis and classification of protein structures. Comput. Biol. Medicine 158: 106814 (2023) - [j157]José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura:
Efficient mining of top-k high utility itemsets through genetic algorithms. Inf. Sci. 624: 529-553 (2023) - [j156]Xuan Ye, Yulin He, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel correlation Gaussian process regression-based extreme learning machine. Knowl. Inf. Syst. 65(5): 2017-2042 (2023) - [j155]Guangning Xu, Di Xian, Philippe Fournier-Viger, Xutao Li, Yunming Ye, Xiuqing Hu:
Correction to: AM-ConvGRU: a spatio-temporal model for typhoon path prediction. Neural Comput. Appl. 35(16): 12235 (2023) - [j154]Yulin He, Xuan Ye, De-Fa Huang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets. IEEE Trans. Artif. Intell. 4(1): 182-196 (2023) - [j153]Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Trans. Netw. Sci. Eng. 10(3): 1283-1296 (2023) - [e7]Philippe Fournier-Viger, Ahmed Hassan Yousef, Ladjel Bellatreche:
Model and Data Engineering: 11th International Conference, MEDI 2022, Cairo, Egypt, November 21-24, 2022, Proceedings. Lecture Notes in Computer Science 13761, Springer 2023, ISBN 978-3-031-21595-7 [contents] - [i17]Tai Dinh, Philippe Fournier-Viger, Huynh Van Hong:
Mining compact high utility sequential patterns. CoRR abs/2302.11426 (2023) - [i16]Shan Huang, Wensheng Gan, Jinbao Miao, Xuming Han, Philippe Fournier-Viger:
Targeted Mining of Top-k High Utility Itemsets. CoRR abs/2303.14510 (2023) - [i15]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Xudong Dai:
Image-text Retrieval via Preserving Main Semantics of Vision. CoRR abs/2304.10254 (2023) - 2022
- [j152]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) - [j151]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) - [j150]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) - [j149]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) - [j148]Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Philippe Fournier-Viger:
Efficient evolutionary computation model of closed high-utility itemset mining. Appl. Intell. 52(9): 10604-10616 (2022) - [j147]Wei Song, Wei Ye, Philippe Fournier-Viger:
Mining sequential patterns with flexible constraints from MOOC data. Appl. Intell. 52(14): 16458-16474 (2022) - [j146]Hamido Fujita, Philippe Fournier-Viger, Moonis Ali:
Editorial of special issue on emerging topics in applied intelligence. Appl. Intell. 52(15): 16991-16992 (2022) - [j145]Xinzheng Niu, Yunhong Zheng, Philippe Fournier-Viger, Bing Wang:
Parallel grid-based density peak clustering of big trajectory data. Appl. Intell. 52(15): 17042-17057 (2022) - [j144]M. Saqib Nawaz, Philippe Fournier-Viger, Muhammad Zohaib Nawaz, Guoting Chen, Youxi Wu:
MalSPM: Metamorphic malware behavior analysis and classification using sequential pattern mining. Comput. Secur. 118: 102741 (2022) - [j143]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) - [j142]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) - [j141]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) - [j140]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) - [j139]Shimin Wang, Xinzheng Niu, Philippe Fournier-Viger, Dongmei Zhou, Fan Min:
A graph based approach for mining significant places in trajectory data. Inf. Sci. 609: 172-194 (2022) - [j138]Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Ganghuan He, Mourad Nouioua:
CSPM: Discovering compressing stars in attributed graphs. Inf. Sci. 611: 126-158 (2022) - [j137]Bac Le, Tin C. Truong, Hai V. Duong, Philippe Fournier-Viger, Hamido Fujita:
H-FHAUI: Hiding frequent high average utility itemsets. Inf. Sci. 611: 408-431 (2022) - [j136]Xiaojie Zhang, Yanlin Qi, Guoting Chen, Wensheng Gan, Philippe Fournier-Viger:
Fuzzy-driven periodic frequent pattern mining. Inf. Sci. 618: 253-269 (2022) - [j135]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) - [j134]Peng Wu, Xinzheng Niu, Philippe Fournier-Viger, Cheng Huang, Bing Wang:
UBP-Miner: An efficient bit based high utility itemset mining algorithm. Knowl. Based Syst. 248: 108865 (2022) - [j133]Hai V. Duong, Ngan T. H. Le, Thong Tran, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Efficient algorithms for mining closed and maximal high utility itemsets. Knowl. Based Syst. 257: 109921 (2022) - [j132]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) - [j131]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) - [j130]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) - [j129]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) - [c181]M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He:
S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures. BIBM 2022: 2259-2265 - [c180]Philippe Fournier-Viger, Yuechun Li, M. Saqib Nawaz, Yulin He:
FastTIRP: Efficient Discovery of Time-Interval Related Patterns. BDA 2022: 185-199 - [c179]Khaled Belghith, Philippe Fournier-Viger, Jassem Jawadi:
Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets. BDA 2022: 211-224 - [c178]Philippe Fournier-Viger, Wensheng Gan, Youxi Wu, Mourad Nouioua, Wei Song, Tin C. Truong, Hai Van Duong:
Pattern Mining: Current Challenges and Opportunities. DASFAA (Workshops) 2022: 34-49 - [c177]Zhaowen Yin, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philippe Fournier-Viger:
Constraint-based Sequential Rule Mining. DSAA 2022: 1-10 - [c176]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. ICDE 2022: 68-80 - [c175]Naji Alhusaini, Jing Li, Philippe Fournier-Viger, Ammar Hawbani, Guilin Chen:
Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation. ICDM (Workshops) 2022: 490-496 - [c174]Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. ICDM 2022: 703-712 - [c173]Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger:
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2022: 182-194 - [c172]Xueqin Du, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
DenMG: Density-Based Member Generation for Ensemble Clustering. ICPP Workshops 2022: 24:1-24:7 - [c171]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Bing Wang:
Two-Stage Traffic Clustering Based on HNSW. IEA/AIE 2022: 609-620 - [c170]Gaojuan Fan, Huaiyuan Xiao, Chongsheng Zhang, George Almpanidis, Philippe Fournier-Viger, Hamido Fujita:
Parallel High Utility Itemset Mining. IEA/AIE 2022: 819-830 - [c169]Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. IJCNN 2022: 1-8 - [c168]Di Zhao, Yun Sing Koh, Philippe Fournier-Viger:
Measuring Drift Severity by Tree Structure Classifiers. IJCNN 2022: 1-8 - [c167]M. Saqib Nawaz, Philippe Fournier-Viger, Naji Alhusaini, Yulin He, Youxi Wu, Debdatta Bhattacharya:
LCIM: Mining Low Cost High Utility Itemsets. MIWAI 2022: 73-85 - [c166]Philippe Fournier-Viger, M. Saqib Nawaz, Yulin He, Youxi Wu, Farid Nouioua, Unil Yun:
MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences. MIWAI 2022: 86-98 - [c165]M. Saqib Nawaz, Muhammad Zohaib Nawaz, Osman Hasan, Philippe Fournier-Viger:
Metaheuristic Algorithms for Proof Searching in HOL4. SEKE 2022: 376-381 - [c164]M. Saqib Nawaz, Saleha Noor, Philippe Fournier-Viger:
Reasoning About Order Crossover in Genetic Algorithms. ICSI (1) 2022: 261-271 - [e6]Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang:
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19-22, 2022, Proceedings. Lecture Notes in Computer Science 13343, Springer 2022, ISBN 978-3-031-08529-1 [contents] - [e5]Philippe Fournier-Viger, Ahmed Hassan Yousef, Ladjel Bellatreche, Ahmed Awad, Abderrahim Ait Wakrime, Yassine Ouhammou, Idir Aït-Sadoune:
Advances in Model and Data Engineering in the Digitalization Era - MEDI 2022 Short Papers and DETECT 2022 Workshop Papers, Cairo, Egypt, November 21-24, 2022, Proceedings. Communications in Computer and Information Science 1751, Springer 2022, ISBN 978-3-031-23118-6 [contents] - [i14]Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger:
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. CoRR abs/2201.08554 (2022) - [i13]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) - [i12]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) - [i11]Jinbao Miao, Wensheng Gan, Shicheng Wan, Yongdong Wu, Philippe Fournier-Viger:
Towards Target High-Utility Itemsets. CoRR abs/2206.06157 (2022) - [i10]Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
OPR-Miner: Order-preserving rule mining for time series. CoRR abs/2209.08932 (2022) - 2021
- [j128]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) - [j127]Hamido Fujita, Philippe Fournier-Viger, Jun Sasaki, Moonis Ali:
Advances in Theory and Applications of Artificial Intelligence. AI Mag. 42(1): 86-87 (2021) - [j126]M. Saqib Nawaz, Muhammad 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) - [j125]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) - [j124]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) - [j123]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) - [j122]M. Saqib Nawaz, Muhammad 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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. Trans. Data Sci. 2(4): 42:1-42:21 (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, Muhammad 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]