dm:start
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| Entrambe le parti precedenti la revisioneRevisione precedente | |||
| dm:start [02/09/2024 alle 10:07 (2 settimane fa)] – [News] Riccardo Guidotti | dm:start [16/09/2024 alle 06:41 (3 giorni fa)] (versione attuale) – Riccardo Guidotti | ||
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| Linea 65: | Linea 65: | ||
| ^ Day of Week ^ Hour ^ Room ^ | ^ Day of Week ^ Hour ^ Room ^ | ||
| | Monday | | Monday | ||
| - | | | + | | |
| **Office hours - Ricevimento: | **Office hours - Ricevimento: | ||
| * Prof. Pedreschi | * Prof. Pedreschi | ||
| - | * Monday 16:00 - 18:00 | + | * TBD |
| * Online | * Online | ||
| * Prof. Guidotti | * Prof. Guidotti | ||
| - | * Tuesday | + | * Wednesday |
| * Room 363 Dept. of Computer Science or MS Teams | * Room 363 Dept. of Computer Science or MS Teams | ||
| Linea 120: | Linea 120: | ||
| * Didactic Data Mining [[http:// | * Didactic Data Mining [[http:// | ||
| - | ====== Class Calendar (2023/2024) ====== | + | ====== Class Calendar (2024/2025) ====== |
| ===== First Semester (DM1 - Data Mining: Foundations) ===== | ===== First Semester (DM1 - Data Mining: Foundations) ===== | ||
| ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^ | ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^ | ||
| - | |01.| 18.09.2023 | 11-13 |C1| Overview, Introduction | + | | |
| - | | | + | | |
| - | |02.| 25.09.2023 | 11-13 |C1| Lab. Introduction to Python | {{ : | + | | |
| - | |03.| 27.09.2023 | 11-13 |C1| Lab. Data Understanding | {{ : | + | | |
| - | |04.| 02.10.2023 | 11-13 |C1| Data Understanding | {{ : | + | |01.| 30.09.2024 | 11-13 |C1| Overview, Introduction |
| - | |05.| 04.10.2023 | 11-13 |C1| Data Understanding & Preparation | {{ : | + | |
| - | |06.| 09.10.2023 | 11-13 |C1| Data Preparation & Data Similarity | {{ : | + | |
| - | |07.| 11.10.2023 | 11-13 |C1| Data Similarity & Lab. Data Understanding | {{ : | + | |
| - | |08.| 16.10.2023 | 11-13 |C1| Introduction to Clustering, K-Means | {{ : | + | |
| - | |09.| 18.10.2023 | 11-13 |C1| Clustering Validation, Hierarchical Clustering | {{ : | + | |
| - | |10.| 23.10.2023 | 11-13 |C1| Density-based Clustering | {{ : | + | |
| - | |11.| 25.10.2023 | 11-13 |C1| Lab. Clustering | {{ : | + | |
| - | |12.| 30.10.2023 | 11-13 |C1| Ex. Clustering | {{ : | + | |
| - | | | 01.11.2023 | 11-13 | | No Lecture | | | + | |
| - | |13.| 06.11.2023 | 11-13 |C1| Intro Classification, | + | |
| - | |14.| 08.11.2023 | 11-13 |C1| Naive Bayes, Exercises | {{ : | + | |
| - | |15.| 13.11.2023 | 11-13 |C1| Model Evaluation | {{ : | + | |
| - | |16.| 15.11.2023 | 11-13 |C1| Model Evaluation Exercises & Lab | {{ : | + | |
| - | | | + | |
| - | |17.| 22.11.2023 | 11-13 |C1| Decision Tree Classifier | {{ : | + | |
| - | |18.| 27.11.2023 | 11-13 |C1| Decision Tree Classifier | {{ : | + | |
| - | |19.| 29.11.2023 | 11-13 |C1| Exercises and Lab. Decision Tree Classifier | {{ : | + | |
| - | |20.| 04.12.2023 | 11-13 |C1| Decision Tree Classifier, Exercises and Lab | {{ :dm:12_dm1_decision_trees_2023_24.pdf | Decision Tree}} | Pedreschi| | + | |
| - | |21.| 06.12.2023 | 11-13 |C1| Intro Regression & Lab. Regression | {{ : | + | |
| - | |22.| 11.12.2023 | 11-13 |C1| Into Pattern Mining and Apriori | {{ : | + | |
| - | |23.| 13.12.2023 | 16-18 |C1| Apriori & Lab. Pattern Mining | {{ : | + | |
| - | |24.| 18.12.2023 | 11-13 |C| FP-Growth and Exercises | {{ : | + | |
| ===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) ===== | ===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) ===== | ||
| ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^ | ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^ | ||
| |01.| 19.02.2024 | 14-16 |C| Overview, Rule-based Models | {{ : | |01.| 19.02.2024 | 14-16 |C| Overview, Rule-based Models | {{ : | ||
| - | | | 21.02.2024 | | | No Lecture | | | | + | |
| - | | | 26.02.2024 | | | No Lecture | | | | + | |
| - | |02.| 28.02.2024 | 11-13 |C| Sequential Pattern Mining | {{ : | + | |
| - | |03.| 04.03.2024 | 9-11 |C| Sequential Pattern Mining | {{ : | + | |
| - | |04.| 06.03.2024 | 11-13 |C| Transactional Clustering | {{ : | + | |
| - | |05.| 11.03.2024 | 9-11 |C| Time Series Similarity | {{ : | + | |
| - | |06.| 13.03.2024 | 11-13 |C| Time Series Approximation | {{ : | + | |
| - | |07.| 18.03.2024 | 9-11 |C| Time Series Clustering & Motifs| {{ : | + | |
| - | |08.| 20.03.2024 | 11-13 |C| Time Series Classification | {{ : | + | |
| - | |09.| 25.03.2024 | 9-11 |C| Imbalanced Learning | {{ : | + | |
| - | |10.| 27.03.2024 | 11-13 |C| Dimensionality Reduction | {{ : | + | |
| - | |11.| 03.04.2024 | 11-13 |C| Outlier Detection | {{ : | + | |
| - | |12.| 08.04.2024 | 9-11 |C| Outlier Detection | {{ : | + | |
| - | |13.| 10.04.2024 | 11-13 |C| Outlier Detection | {{ : | + | |
| - | |14.| 15.04.2024 | 14-16 |C| Gradient Descend, MLE | {{ : | + | |
| - | |15.| 17.04.2024 | 11-13 |C| Odds, LogOdds, Logistic Regression| {{ : | + | |
| - | |16.| 22.04.2024 | 9-11 |C| Support Vector Machine | {{ : | + | |
| - | |17.| 24.04.2024 | 11-13 |C| Perceptron, Neural Networks| {{ : | + | |
| - | |18.| 29.04.2024 | 9-11 |C| Deep Neural Networks | {{ : | + | |
| - | |19.| 06.05.2024 | 9-11 |C| CNN, RNN, DL-TS, Ensemble Intro | {{ : | + | |
| - | |20.| 08.05.2024 | 11-13 |C| Ensemble, Boosting, Adaboost | {{ : | + | |
| - | |21.| 13.05.2024 | 9-11 |C| Ensemble-TS, | + | |
| - | |22.| 15.05.2024 | 11-13 |C| Extreme Gradient Boosting | {{ : | + | |
| - | |23.| 20.05.2024 | 9-11 |C1| eXplainable Artificial Intelligence | {{ : | + | |
| - | |24.| 22.05.2024 | 11-13 |C1| eXplainable Artificial Intelligence | {{ : | + | |
| ====== Exams ====== | ====== Exams ====== | ||
| Linea 207: | Linea 162: | ||
| ===== Exam Booking Periods ===== | ===== Exam Booking Periods ===== | ||
| * Exam portal link: [[https:// | * Exam portal link: [[https:// | ||
| - | * 1st Appello: from 09/ | + | * 1st Appello: from TBD to TBD |
| - | * 2nd Appello: from 01/ | + | * 2nd Appello: from TBD to TBD |
| - | * 3rd Appello: from 05/ | + | * 3rd Appello: from TBD to TBD |
| - | * 4th Appello: from 02/ | + | * 4th Appello: from TBD to TBD |
| - | * 5th Appello: from 19/ | + | * 5th Appello: from TBD to TBD |
| - | * 6th Appello: from 10/ | + | * 6th Appello: from TBD to TBD |
| ===== Exam Booking Agenda ===== | ===== Exam Booking Agenda ===== | ||
| When registering for the oral exam please specify in the notes DM1 if you do not want to do DM2 (that is assumed by default). After having booked for DM1 please contact Prof. Pedreschi to agree on the exam date (put Prof. Guidotti and Andrea Fedele in cc). There will be no agenda for DM1. | When registering for the oral exam please specify in the notes DM1 if you do not want to do DM2 (that is assumed by default). After having booked for DM1 please contact Prof. Pedreschi to agree on the exam date (put Prof. Guidotti and Andrea Fedele in cc). There will be no agenda for DM1. | ||
| - | * 1st Appello - DM1: https:// | + | * 1st Appello - DM1 & DM2: from TBD to TBD (deliver project by TBD) |
| - | * 2nd Appello - DM1: https:// | + | * 2nd Appello - DM1 & DM2: from TBD to TBD (deliver project by TBD) |
| - | * 3rd Appello: - DM1 & DM2: from 04/ | + | * 3rd Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD) |
| - | * 4th Appello: - DM1 & DM2: from 02/ | + | * 4th Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD) |
| - | * 5th Appello: - DM1 & DM2: from 22/ | + | * 5th Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD) |
| - | * 6th Appello: - DM1: to be agreed with Prof. Pedreschi, DM2: 16/ | + | * 6th Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD) |
| **Do not forget to make the evaluation of the course!!!** | **Do not forget to make the evaluation of the course!!!** | ||
| Linea 234: | Linea 190: | ||
| * **Dataset** | * **Dataset** | ||
| - | - Assigned: | + | - Assigned: |
| - | - MidTerm Submission: 15/11/2023 (+0.5) (half project required, i.e., Data Understanding & Preparation and Clustering) | + | - MidTerm Submission: 15/11/2024 (+0.5) (half project required, i.e., Data Understanding & Preparation and Clustering) |
| - | - Final Submission: 31/12/2023 (+0.5) one week before the oral exam (complete project required). | + | - Final Submission: 31/12/2024 (+0.5) one week before the oral exam (complete project required). |
| - | - Dataset: | + | - Dataset: |
| ** DM1 Project Guidelines ** | ** DM1 Project Guidelines ** | ||
| Linea 258: | Linea 214: | ||
| - MidTerm Submission: 07/05/2024 (Modules 1 and 2 (for TS classification non DL-based models)) | - MidTerm Submission: 07/05/2024 (Modules 1 and 2 (for TS classification non DL-based models)) | ||
| - Final Submission: one week before the oral exam (complete project required, also with DL-based models for TS classification). | - Final Submission: one week before the oral exam (complete project required, also with DL-based models for TS classification). | ||
| - | - Dataset: | + | - Dataset: |
| ** DM2 Project Guidelines ** | ** DM2 Project Guidelines ** | ||
dm/start.txt · Ultima modifica: 16/09/2024 alle 06:41 (3 giorni fa) da Riccardo Guidotti