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ORCIDPhilippe Fournier-Viger
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- 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
- 2021
[j112]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)- [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - 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. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 10(6) (2020) - [c140]Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes:
Mining Attribute Evolution Rules in Dynamic Attributed Graphs. DaWaK 2020: 167-182 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [c135]Philippe Fournier-Viger, Yanjun Yang, Peng Yang, Jerry Chun-Wei Lin, Unil Yun:
TKE: Mining Top-K Frequent Episodes. IEA/AIE 2020: 832-845 - [c134]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 - [c133]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 - [c132]Philippe Fournier-Viger, Yanjun Yang, Jerry Chun-Wei Lin, Jaroslav Frnda:
Mining Locally Trending High Utility Itemsets. PAKDD (2) 2020: 99-111 - [c131]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]José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Frequent itemset mining: A 25 years review. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 9(6) (2019) - [c130]Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, Unil Yun:
HUE-Span: Fast High Utility Episode Mining. ADMA 2019: 169-184 - [c129]Philippe Fournier-Viger, Chao Cheng, Jerry Chun-Wei Lin, Unil Yun, R. Uday Kiran:
TKG: Efficient Mining of Top-K Frequent Subgraphs. BDA 2019: 209-226 - [c128]Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
An Explicit Relationship Between Sequential Patterns and Their Concise Representations. BDA 2019: 341-361 - [c127]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Shyue-Liang Leon Wang:
Mining High-Utility Sequential Patterns from Big Datasets. BigData 2019: 2674-2680 - [c126]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. BigData 2019: 2708-2715 - [c125]Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Ahcène Bendjoudi, Philippe Fournier-Viger:
A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining. CEC 2019: 1439-1445 - [c124]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Youcef Djenouri, Philippe Fournier-Viger, Yuyu Zhang:
A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining. CEC 2019: 1461-1467 - [c123]Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi:
Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences. DaWaK 2019: 73-88 - [c122]Philippe Fournier-Viger, Chao Cheng, Zhi Cheng, Jerry Chun-Wei Lin, Nazha Selmaoui-Folcher:
Finding Strongly Correlated Trends in Dynamic Attributed Graphs. DaWaK 2019: 250-265 - [c121]Rafael Ktistakis, Philippe Fournier-Viger, Simon J. Puglisi, Rajeev Raman:
Succinct BWT-Based Sequence Prediction. DEXA (2) 2019: 91-101 - [c120]M. Saqib Nawaz, Meng Sun, Philippe Fournier-Viger:
Proof Guidance in PVS with Sequential Pattern Mining. FSEN 2019: 45-60 - [c119]Khin Nandar Win, Jianguo Chen, Guoqing Xiao, Yuedan Chen, Philippe Fournier-Viger:
A Parallel Crime Activity Clustering Algorithm Based on Apache Spark Cloud Computing Platform. HPCC/SmartCity/DSS 2019: 68-74 - [c118]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
An Efficient Chain Structure to Mine High-Utility Sequential Patterns. ICDM Workshops 2019: 1013-1019 - [c117]C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops 2019: 1020-1028 - [c116]Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read:
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. ICONIP (1) 2019: 704-716 - [c115]Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, Rage Uday Kiran:
Discovering Stable Periodic-Frequent Patterns in Transactional Data. IEA/AIE 2019: 230-244 - [c114]R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. PAKDD (2) 2019: 191-203 - [c113]Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger:
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. PRICAI (2) 2019: 419-430 - [c112]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 - [c111]R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM 2019: 49-60 - [c110]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Chun-Hao Chen, Ting Li:
A Project-based PMiner Algorithm in Uncertain Databases. TAAI 2019: 1-5 - [e1]Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy:
Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings. Lecture Notes in Computer Science 11932, Springer 2019, ISBN 978-3-030-37187-6 [contents] - [i9]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. CoRR abs/1902.09582 (2019) - [i8]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. CoRR abs/1902.09584 (2019) - [i7]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Fast Utility Mining on Complex Sequences. CoRR abs/1904.12248 (2019) - [i6]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. CoRR abs/1912.11666 (2019) - 2018
- [j68]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger:
MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns With Multiple Minimum Average-Utility Thresholds. IEEE Access 6: 7593-7609 (2018) - [j67]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger:
TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns. IEEE Access 6: 18655-18669 (2018) - [j66]Mustapha Bouakkaz, Youcef Ouinten, Sabine Loudcher, Philippe Fournier-Viger:
Efficiently mining frequent itemsets applied for textual aggregation. Appl. Intell. 48(4): 1013-1019 (2018) - [j65]Linh T. T. Nguyen, Bay Vo, Loan T. T. Nguyen, Philippe Fournier-Viger, Ali Selamat:
ETARM: an efficient top-k association rule mining algorithm. Appl. Intell. 48(5): 1148-1160 (2018) - [j64]Quang-Huy Duong, Philippe Fournier-Viger, Heri Ramampiaro, Kjetil Nørvåg, Thu-Lan Dam:
Efficient high utility itemset mining using buffered utility-lists. Appl. Intell. 48(7): 1859-1877 (2018) - [j63]Jerry Chun-Wei Lin, Yina Shao, Philippe Fournier-Viger, Youcef Djenouri, Xiangmin Guo:
Maintenance algorithm for high average-utility itemsets with transaction deletion. Appl. Intell. 48(10): 3691-3706 (2018) - [j62]Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, Van-Nam Huynh:
An efficient algorithm for mining periodic high-utility sequential patterns. Appl. Intell. 48(12): 4694-4714 (2018) - [j61]Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
A new framework for metaheuristic-based frequent itemset mining. Appl. Intell. 48(12): 4775-4791 (2018) - [j60]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) - [j59]Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger:
An efficient algorithm for Hiding High Utility Sequential Patterns. Int. J. Approx. Reason. 95: 77-92 (2018) - [j58]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) - [j57]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
Fast and effective cluster-based information retrieval using frequent closed itemsets. Inf. Sci. 453: 154-167 (2018) - [j56]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Hamido Fujita:
Mining diversified association rules in big datasets: A cluster/GPU/genetic approach. Inf. Sci. 459: 117-134 (2018) - [j55]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan, Ji Zhang:
Exploiting highly qualified pattern with frequency and weight occupancy. Knowl. Inf. Syst. 56(1): 165-196 (2018) - [j54]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger:
Extracting useful knowledge from event logs: A frequent itemset mining approach. Knowl. Based Syst. 139: 132-148 (2018) - [j53]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Hamido Fujita:
Extracting non-redundant correlated purchase behaviors by utility measure. Knowl. Based Syst. 143: 30-41 (2018) - [j52]Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg, Philippe Fournier-Viger, Thu-Lan Dam:
High utility drift detection in quantitative data streams. Knowl. Based Syst. 157: 34-51 (2018) - [j51]Majdi M. Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, Hossam Faris, Philippe Fournier-Viger, Xiaodong Li, Seyedali Mirjalili:
Binary dragonfly optimization for feature selection using time-varying transfer functions. Knowl. Based Syst. 161: 185-204 (2018) - [j50]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. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 8(2) (2018) - [c109]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Yun Sing Koh:
Discovering High Utility Change Points in Customer Transaction Data. ADMA 2018: 392-402 - [c108]Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger, Sri Devi Ravana:
Concept Drift Detector Selection for Hoeffding Adaptive Trees. Australasian Conference on Artificial Intelligence 2018: 730-736 - [c107]Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
Anonymization of Multiple and Personalized Sensitive Attributes. DaWaK 2018: 204-215 - [c106]Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita:
Discovering Periodic Patterns Common to Multiple Sequences. DaWaK 2018: 231-246 - [c105]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh:
Mining Local High Utility Itemsets. DEXA (2) 2018: 450-460 - [c104]Jerry Chun-Wei Lin, Yuyu Zhang, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
A Metaheuristic Algorithm for Hiding Sensitive Itemsets. DEXA (2) 2018: 492-498 - [c103]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger:
New Tighter Upper Bounds for Mining High Average-Utility Itemsets. ICBDE 2018: 27-32 - [c102]Hanane Amirat, Abderrahim Benslimane, Philippe Fournier-Viger, Nasreddine Lagraa:
LocRec: Rule-Based Successive Location Recommendation in LBSN. ICC 2018: 1-6 - [c101]Jerry Chun-Wei Lin, Philippe Fournier-Viger, Lintai Wu, Wensheng Gan, Youcef Djenouri, Ji Zhang:
PPSF: An Open-Source Privacy-Preserving and Security Mining Framework. ICDM Workshops 2018: 1459-1463 - [c100]Philippe Fournier-Viger, Xiang Li, Jie Yao, Jerry Chun-Wei Lin:
Interactive Discovery of Statistically Significant Itemsets. IEA/AIE 2018: 101-113 - [c99]Koffi V. C. Kevin de Souza, Jalal Almhana, Philippe Fournier-Viger:
Radio Data Transmission Reduction in Power-Constrained WSN. IWCMC 2018: 285-290 - [c98]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
Discovering Strong Meta Association Rules Using Bees Swarm Optimization. PAKDD (Workshops) 2018: 195-206 - [c97]Philippe Fournier-Viger, Tianbiao Liu, Jerry Chun-Wei Lin:
Football Pass Prediction Using Player Locations. MLSA@PKDD/ECML 2018: 152-158 - [i5]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. CoRR abs/1805.10511 (2018) - [i4]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
A Survey of Parallel Sequential Pattern Mining. CoRR abs/1805.10515 (2018) - [i3]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
HUOPM: High Utility Occupancy Pattern Mining. CoRR abs/1812.10926 (2018) - 2017
- [j49]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) - [j48]Xiaodong Zhu, Ji Zhang, Hongzhou Li, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Liang Chang:
FRIOD: A Deeply Integrated Feature-Rich Interactive System for Effective and Efficient Outlier Detection. IEEE Access 5: 25682-25695 (2017) - [j47]