dm:start
Differenze
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| Entrambe le parti precedenti la revisioneRevisione precedenteProssima revisione | Revisione precedente | ||
| dm:start [08/08/2024 alle 12:38 (7 settimane fa)] – Salvatore Ruggieri | dm:start [16/09/2024 alle 06:41 (11 giorni fa)] (versione attuale) – Riccardo Guidotti | ||
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| - | ====== Data Mining A.A. 2023/24 ====== | + | ====== Data Mining A.A. 2024/25 ====== |
| ===== DM1 - Data Mining: Foundations (6 CFU) ===== | ===== DM1 - Data Mining: Foundations (6 CFU) ===== | ||
| Linea 34: | Linea 34: | ||
| * Meeting: https:// | * Meeting: https:// | ||
| ====== News ====== | ====== News ====== | ||
| - | + | * **[02.09.2024]** Lectures will start on Monday | |
| - | * **[24.05.2024]** 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 it 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. | + | * [02.09.2024] Lectures will be in presence only. Registrations of the lectures of past years can be found at the bottom of this web page. |
| - | * [03.05.2024] Next lecture of DM2 will be as usual on Monday 06/05 from 9 to 11 in room C. | + | * [02.09.2024] Project Groups [[TODO|link]] |
| - | * [19.01.2024 DM2 Lectures will start on Mon 19/02, only for that lecture the time will be 14-16 instead of 9-11. | + | * [11.09.2023] MS Teams [[TODO|link]] |
| - | * [13.10.2023] To schedule meeting with the Teaching Assistant you can use: https:// | + | |
| - | * [20.09.2023] Recordings of the lectures can be found on the web pages of the course for the years 2020/2021 and 2021/2022 (see links at the bottom of this page) | + | |
| - | * [20.09.2023] Thursday 21 September there will be no lecture. | + | |
| - | * [11.09.2023] | + | |
| - | * [11.09.2023] Lectures will be in presence only. Registrations of the lectures of past years can be found at the bottom of this web page. | + | |
| - | * [11.09.2023] Project Groups [[https:// | + | |
| - | * [11.09.2023] MS Teams [[https:// | + | |
| ====== Learning Goals ====== | ====== Learning Goals ====== | ||
| * DM1 | * DM1 | ||
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| ^ 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 127: | 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 ====== | ||
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| ===== 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: | + | * 6th Appello: |
| ===== 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: | + | * 6th Appello: |
| **Do not forget to make the evaluation of the course!!!** | **Do not forget to make the evaluation of the course!!!** | ||
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| * **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 ** | ||
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| - 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 ** | ||
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| ====== Previous years ===== | ====== Previous years ===== | ||
| + | * [[dm_ds2023-24]] | ||
| * [[dm.2022-23ds]] | * [[dm.2022-23ds]] | ||
| * [[dm.2021-22ds]] | * [[dm.2021-22ds]] | ||
dm/start.1723120692.txt.gz · Ultima modifica: 08/08/2024 alle 12:38 (7 settimane fa) da Salvatore Ruggieri