Dear authors, please record and upload your video presentations as soon as possible. Please find all instructions at: http://tiny.cc/icdm2020 |
The safety and well-being of all conference participants is our priority. Therefore, we decided that ICDM 2020 will take place completely virtually. All deadlines and the conference dates remain the same. Accepted papers will be published as usual. |
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 | ||||||