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Monday 5 at a glance |
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Olympia Hall |
Attica Hall |
Kallirhoe Hall |
Conference Room I |
Conference Room II |
Conference Room III |
Conference Room IV |
Conference Room V |
| 09:00 - 10:30 |
Tutorial "Privacy Challenges and Solutions for Medical Data Sharing" |
Tutorial "Introduction to causal discovery: A Bayesian Networks approach" |
Workshop "LSHTC" |
Workshop "ITSE" |
Workshop "MUSE" |
Discovery Challenge |
Workshop MultiClust |
Workshop "DMFGP" |
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| 10:30 - 11:00 |
Coffee Break |
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Tutorial "Privacy Challenges and Solutions for Medical Data Sharing" |
Tutorial "Introduction to causal discovery: A Bayesian Networks approach" |
Workshop "LSHTC" |
Workshop "ITSE" |
Workshop "MUSE" |
Discovery Challenge |
Workshop MultiClust |
Workshop "DMFGP" |
| 11:00 - 12:30 |
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| 12:30 -14:00 |
Lunch (on your own) |
| 14:00 - 15:30 |
Tutorial "Mining complex dynamic data" |
Tutorial "Factorizing Gigantic Matrices" |
Workshop "LSHTC" |
Workshop "ITSE" |
Workshop "MUSE" |
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| 15:30 - 16:00 |
Coffee Break |
| 16:00 - 17:30 |
Tutorial "Mining complex dynamic data" |
Tutorial "Factorizing Gigantic Matrices" |
Workshop "LSHTC" |
Workshop "ITSE" |
Workshop "MUSE" |
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| 19:00 - 19:30 |
Opening & Awards Ceremony (Olympia Hall) |
| 19:30 - 20:30 |
Invited Talk by Christopher Bishop (Olympia Hall) |
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| 20:30 |
Welcome Reception (Ioannis Restaurant - Roof Garden) |
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Tuesday 6 at a glance |
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Olympia Hall |
Attica Hall |
Kallirhoe I Hall |
| 09:00 - 09:10 |
Announcements |
| 09:10 - 10:10 |
Invited Talk by Rakesh Agrawal (Olympia Hall) |
| 10:10 - 10:40 |
Coffee Break |
| 10:40 - 12:30 |
S1. Classification & Prediction |
S2. Frequent Sets and Patterns |
S3. Active & Online learning |
| 12:30 -14:00 |
Lunch |
| 14:00 - 15:50 |
S4. Classification & Bayesian Networks |
S5. Applications of Data Mining |
S6. Ensemble Learning |
| 15:50 - 16:20 |
Coffee Break |
| 16:20 - 18:10 |
S7. Clustering |
S8. Matrix and Tensor Analysis |
S9. Learning from Time Series Data |
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| 19:30 - … |
Technopolis: Poster Reception |
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Wednesday 7 at a glance |
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Olympia Hall |
Attica Hall |
Kallirhoe I Hall |
| 09:00 - 09:10 |
Announcements |
| 09:10 - 10:10 |
Invited Talk by Albert-László Barabási (Olympia Hall) |
| 10:10 - 10:40 |
Coffee Break |
| 10:40 - 12:30 |
S10. Learning from Social and Information Networks I |
S11. Spectral Clustering & Graph Mining |
S12. Data Mining Theory & Foundations |
| 12:30 -14:00 |
Lunch |
| 14:00 - 15:50 |
S13. Learning from Social and Information Networks II |
S14. Relational learning and Inductive Logic Programming |
S15. Model Selection & Statistical Learning |
| 15:50 - 16:20 |
Coffee Break |
| 16:20 - 18:10 |
S16. Graphical & Hidden Markov Models |
S17. Supervised Learning I |
S18. Unsupervised Learning & Dimensionality Reduction |
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| 19:30 - 20:00 |
10-years Award Ceremony (Olympia Hall) |
| 20:00 - 21:00 |
Invited Talk by Andrei Broder (Olympia Hall) |
| 21:00 - … |
Conference Banquet (Ioannis Restaurant - Roof Garden) |
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Thursday 8 at a glance |
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Olympia Hall |
Attica Hall |
Kallirhoe I Hall |
| 09:00 - 09:10 |
Announcements |
| 09:10 - 11:00 |
S19. Supervised Learning II |
S20.Semi-Supervised and Transductive Learning |
S21. Preference Learning and Ranking |
| 11:00 - 11:30 |
Coffee Break |
| 1130 - 12:30 |
Invited Talk by Marco Gori (Olympia Hall) |
| 12:30 - 14:00 |
Lunch |
| 14:00 - 15:50 |
S22. Feature Selection, Extraction, and Construction |
S23. Text Mining & Recommender Systems |
S24. Reinforcement learning |
| 15:50 - 16:20 |
Coffee Break |
| 16:20 - 17:20 |
Demos (Attica Hall) |
| 17:20 - 19:00 |
Community Meeting (Olympia Hall) |
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| 20:00 - … |
Guided Tour at the Acropolis Museum Farewell party |
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