20th IEEE International Conference on Data Mining
ICDM 2020
Virtual Event, Sorrento, Italy
November 17-20, 2020
Program at a Glance
(CET Time)
November 17, 2020 (Workshops Day) |
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01:00PM- 02:00PM | NeuRec Invited Talk | DMS | BigData4SmartEnergy Keynote | LITSA Keynote | DDIF Keynote | DL-IoT Keynote | Contest Session: “Knowle dge Graphs” |
02:00PM- 03:00PM | NeuRec Invited Talk | SENTIRE Keynote | BigData4SmartEnergy | LITSA | DDIF | BSDM | Contest Session: “Knowle dge Graphs” |
03:00PM- 04:00PM | NeuRec | SENTIRE | BigData4SmartEnergy | CLEATED | DDIF | DLKT | |
04:00PM- 05:00PM | NeuRec Invited Keynote | SENTIRE | HDM | IncrLearn Keynote | MLLD Keynote | DLC | |
05:00PM- 06:00PM | NeuRec | UDML | SSTDM | IncrLearn | MLLD | DL-CTI | |
06:00PM- 07:00PM | NeuRec Invited Keynote | MSDM | IncrLearn | DMBIH | DL-IoT | ||
07:00PM- 08:00PM | NeuRec | ||||||
November 18, 2020 (Conference Day) |
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01:00PM- 01:15PM | Conference Opening | ||||||
01:15PM- 02:30PM | Keynote: Sepp Hochreiter, “Modern Hopfield Networks” | ||||||
02:30PM- 03:30PM | Session 1: Graph Mining I | Session 2: Mining Spatial and Temporal Data I | Session 3: Recommender Systems I | Session 4: Deep Learning I | Session 5: Unsupervised Learning | Tutorial 1 – part A: “Online Multimodal Knowledge Discovery” | Tutorial 2 – part A: “Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications” |
03:30PM- 04:30PM | Session 6: Social Networks | Session 7: Time Series I | Session 8: Recommender Systems II | Session 9: Deep Learning II | Session 10: Textual and Unstructured Data I | Tutorial 1 – part B: “Online Multimodal Knowledge Discovery” | Tutorial 2 – part B: “Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications” |
04:30PM- 05:45PM | Keynote: Xuedong Huang, “XYZ-Code – A Holistic Representation to Advance Integrative AI” | ||||||
November 19, 2020 (Conference Day) |
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01:00PM- 02:15PM | Keynote: Diane Cook, “Constructing a Human Digital Twin” | ||||||
02:15PM- 03:15PM | Session 11: Graph Mining II | Session 12: Mining Spatial and Temporal Data II | Session 13: E-Learning and E-Commerce | Session 14: Reinforcement Learning | Session 15: Textual and Unstructured Data II | Tutorial 3 – part A: “Data Asset and Governance: Opportunitie s and Challenges at the Frontier” | Tutorial 4 – part A: “Bias in Personalized Rankings: Concepts to Code” |
03:15PM- 04:15PM | Awards Ceremony | ||||||
04:15PM- 05:15PM | Session 16: Graph Embedding and Representation Learning I | Session 17: Time Series II | Session 18: Generative Methods | Session 19: Mining Medical Data | Session 20: Security and Privacy | Tutorial 3 – part B: “Data Asset and Governance: Opportunitie s and Challenges at the Frontier” | Tutorial 4 – part B: “Bias in Personalized Rankings: Concepts to Code” |
November 20, 2020 (Conference Day) |
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01:00PM- 02:30PM | Panel: “20 Years of IEEE ICDM: Retrospect and Prospect” | ||||||
02:30PM- 03:30PM | Session 21: Graph Embedding and Representation Learning II | Session 22: Supervised Learning I | Session 23: Outliers and Anomaly Detection | Session 24: Stream, Parallel and High- Performance Data Mining | Session 25: Semi- Supervised Learning | Tutorial 3 – part C: “Data Asset and Governance: Opportunitie s and Challenges at the Frontier” | Tutorial 4 – part C: “Bias in Personalized Rankings: Concepts to Code” |
03:30PM- 04:30PM | Session 26: Supervised Learning II | Session 27: Clustering | Session 28: Mining Traffic and Transport Data | Session 29: Imbalance, Fairness and Human Aspects | Tutorial 3 – part D: “Data Asset and Governance: Opportunitie s and Challenges at the Frontier” | Tutorial 4 – part D: “Bias in Personalized Rankings: Concepts to Code” |
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04:30PM- 04:45PM | Conference Closing | ||||||