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--- dm:start [19/05/2025 alle 09:04 (3 mesi fa)] – [Second Semester (DM2 - Data Mining: Advanced Topics and Applications)] Riccardo Guidotti
+++ dm:start [28/07/2025 alle 08:22 (3 settimane fa)] (versione attuale) – Riccardo Guidotti
@@ Linea 1: / Linea 1: @@
-====== Data Mining A.A. 2024/25 ======
+====== Data Mining A.A. 2025/26 ======
 ===== DM1 - Data Mining: Foundations (6 CFU) =====
@@ Linea 15: / Linea 15: @@
 Teaching Assistant
-  * **Andrea Fedele**
+  * **Alessio Cascione**
     * KDDLab, Università di Pisa
-    * [[https://www.linkedin.com/in/andrea-fedele/?originalSubdomain=it]]
+    * [[https://www.linkedin.com/in/alessio-cascione-a77224159/?originalSubdomain=it]]
-    * [[andrea.fedele@phd.unipi.it]]
+    * [[alessio.cascione@phd.unipi.it]]
 ===== DM2 - Data Mining: Advanced Topics and Applications (6 CFU) =====
@@ Linea 28: / Linea 29: @@
 Teaching Assistant
-  * **Andrea Fedele**
+  * **Alessio Cascione**
     * KDDLab, Università di Pisa
-    * [[https://www.linkedin.com/in/andrea-fedele/?originalSubdomain=it]]
+    * [[https://www.linkedin.com/in/alessio-cascione-a77224159/?originalSubdomain=it]]
-    * [[andrea.fedele@phd.unipi.it]]
+    * [[alessio.cascione@phd.unipi.it]]
-    * Meeting: https://calendly.com/andreafedele/
 ====== News ======
-     * **[11.03.2025]** The lecture of DM2 planned for the 14/03/2025 will be held in Room C instead of in Room E.
+     * [28.07.2025] Lectures will start on Monday 29 September 2025 at 09.00 room E. Lectures will be in presence only. Registrations of the lectures of past years can be found at the bottom of this web page.
-     * *[04.03.2025]* The sixth lecture of DM2 planned for the 04/03/2025 will be in Room C instead of in Room E.
-     * [27.01.2025] The first lecture of DM2 will be held the 18.02.2025 in Room A1 exchanging with S4DS that will be held the 17.02.2025 in Room E.
-     * [07.01.2025] Exams Registration Instructions for DM1 (second term):
-        - Use the Google registration form: [[https://forms.gle/NuAvCa3YK2h8MgrX7|here]] before the 23/01/2025.
-        - When the registration closes you will receive a link to the Agenda
-        - Register on the Agenda selecting day and time (do not change you choice or cancel, if you book you want to do the exam)
-        - Submit the project at least 1 week before the day you selected in the Agenda.
-     * [03.12.2024] This year' lectures available at [[https://unipiit-my.sharepoint.com/:f:/g/personal/a_fedele7_studenti_unipi_it/Er7vET5iUWtGhScjXe7XzHUBDd3aYv8j87VYil6moFVyzw|link]]
-     * [07.09.2024] Past years' lectures available at [[https://unipiit-my.sharepoint.com/:f:/g/personal/a_fedele7_studenti_unipi_it/EkecHQpnojVLqX0OqTlfrbMBBRMFbIJfNCw_RdFPN2276g?e=Y2uIcu|link]]
-     * [02.09.2024] Lectures will start on Monday 30 September 2024 at 11.00 room C1.
-     * [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.
-     * [02.09.2024] Project Groups [[https://docs.google.com/spreadsheets/d/1RFWIwKM5Myaehh4tHceaf3olMYm_CktGvoNOFX2Oovc/edit?usp=sharing|link]]
-     * [11.09.2023] MS Teams [[https://teams.microsoft.com/l/team/19%3AMMVIsw09XAOGOcd8-D8dKmNUO2hKXsFKpgkOoiFnwJM1%40thread.tacv2/conversations?groupId=3f7fd5a7-5c84-4930-92e4-0704013877f2&tenantId=c7456b31-a220-47f5-be52-473828670aa1|link]]
 ====== Learning Goals ======
   * DM1
@@ Linea 74: / Linea 63: @@
 ^  Day of Week  ^  Hour  ^  Room  ^
-|  Monday  |  11:00 - 13:00  |  C1   |
+|  Monday  |  09:00 - 11:00  |  E   |
-|  Tuesday  |  14:00 - 16:00  |  C1  |
+|  Thursday  |  09:00 - 11:00  |  E  |
 **Office hours - Ricevimento:**
   * Prof. Pedreschi
-      * TBD
+      * Appointment by email
-      * Online
+      * Room ??? Dept. of Computer Science or MS Teams
   * Prof. Guidotti
       * Thursday 16:00 - 18:00 or Appointment by email
@@ Linea 135: / Linea 125: @@
 ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^
-|   | 16.09.2024 |          |  | No Lecture |  |  |
+|   | 15.09.2024 |          |  | No Lecture |  |  |
-|   | 17.09.2024 | |  | No Lecture |  |  |
+|   | 18.09.2024 | |  | No Lecture |  |  |
-|   | 23.09.2024 | |  | No Lecture |  |  |
+|   | 22.09.2024 | |  | No Lecture |  |  |
-|   | 24.09.2024 | |  | No Lecture |  |  |
+|   | 25.09.2024 | |  | No Lecture |  |  |
-|01.| 30.09.2024 | 11-13 |C1| Overview, Introduction | {{ :dm:00_dm1_introduction_2024_25.pdf | Intro}} | Pedreschi|
+|01.| 15.09.2024 | 11-13 |C1| Overview, Introduction | {{ :dm:00_dm1_introduction_2024_25.pdf | Intro}} | Pedreschi|
-|02.| 01.10.2024 | 14-16 |C1| Lab. Introduction to Python | {{ :dm:dm1_lab01_python_basics_2024_25.zip | Python Basics}} | Pedreschi|
-|03.| 07.10.2024 | 11-13 |C1| Data Understanding | {{ :dm:01_dm1_data_understanding_2024_25.pdf | Data Understanding}} | Pedreschi|
-|04.| 08.10.2023 | 14-16 |C1| Data Understanding & Preparation | {{ :dm:01_dm1_data_understanding_2024_25.pdf | Data Understanding}}, {{ :dm:02_dm1_data_preparation_2024_25.pdf | Data Preparation}} | Pedreschi|
-|05.| 14.10.2023 | 11-13 |C1| Data Preparation & Similarity | {{ :dm:02_dm1_data_preparation_2024_25.pdf | Data Preparation}}, {{ :dm:03_dm1_data_similarity_2024_25.pdf | Data Similarity}} | Pedreschi|
-|06.| 15.10.2024 | 14-16 |C1| Lab. Data Understanding | {{ :dm:dm1_lab02_data_understanding.zip | Data Understanding}}| Pedreschi|
-|07.| 21.10.2024 | 11-13 |C1| Introduction to Clustering, K-Means | {{ :dm:04_dm1_clustering_intro_2024_25.pdf | Intro Clustering}}, {{:dm:05_dm1_kmeans_2024_25.pdf | K-Means }} | Pedreschi|
-|08.| 22.10.2024 | 14-16 |C1| Centroid-based Clustering | {{:dm:05_dm1_kmeans_2024_25.pdf | K-Means }} | Pedreschi|
-|09.| 28.10.2023 | 11-13 |C1| Hierarchical Clustering & Density-based Clustering | {{ :dm:06_dm1_hierarchical_clustering_2024_25.pdf | Hierarchical Clustering}}, {{ :dm:07_dm1_density_based_2024_25.pdf | Density-based Clustering}} | Pedreschi|
-|10.| 29.10.2024 | 14-16 |C1| Lab. Clustering | {{ :dm:dm1_lab03_clustering.zip | Clustering}}| Pedreschi|
-|11.| 04.11.2024 | 11-13 |C1| Ex. Clustering | {{ :dm:ex1_dm1_clustering_2023_24.pdf | ExClustering}}| Guidotti|
-|12.| 05.11.2024 | 14-16 |C1| Intro Classification & kNN | {{ :dm:08_dm1_classification_intro_2024_25.pdf | Intro Classification}}, {{ :dm:09_dm1_knn_2024_25.pdf | kNN}} | Guidotti|
-|13.| 11.11.2024 | 11-13 |C1| Naive Bayes, Exercises | {{ :dm:10_dm1_naive_bayes_2024_25.pdf | Naive Bayes}} | Guidotti|
-|14.| 12.11.2024 | 14-16 |C1| Model Evaluation, Lab. Classification (kNN,NB) | {{ :dm:11_dm1_classification_eval_2024_25.pdf | Model Evaluation}}, {{ :dm:dm1_lab04_classification.zip  | Classification}} | Guidotti|
-|15.| 14.11.2024 | 9-11 |C1| Decision Tree Classifier | {{ :dm:12_dm1_decision_trees_2024_25.pdf | Decision Tree}} | Guidotti|
-|16.| 18.11.2024 | 11-13 |C1| Decision Tree Classifier | {{ :dm:12_dm1_decision_trees_2024_25.pdf | Decision Tree}} | Guidotti|
-|17.| 19.11.2024 | 14-16 |C1| Decision Tree Classifier | {{ :dm:12_dm1_decision_trees_2024_25.pdf | Decision Tree}} | Guidotti|
-|18.| 21.11.2024 | 9-11 |C1| Decision Tree Classifier Exercises and Lab | {{ :dm:12_dm1_decision_trees_2024_25.pdf | Decision Tree}}, {{ :dm:dm1_lab04_classification.zip  | Classification}} | Guidotti|
-|19.| 25.11.2024 | 11-13 |C1| Regression & Lab. Regression | {{ :dm:13_dm1_linear_regression_2024_25.pdf | Regression}}, {{ :dm:dm1_lab05_regression.zip | Regression}}, {{ :dm:dm1_2425_imdb_rating.zip | IMDb Rating}} | Guidotti|
-|20.| 26.11.2024 | 14-16 |C1| Into Pattern Mining and Apriori | {{ :dm:14_dm1_pattern_mining_2024_25.pdf | Pattern Mining}} | Pedreschi|
-|21.| 28.11.2024 | 9-11 |C1| Apriori & FP-Growth | {{ :dm:14_dm1_pattern_mining_2024_25.pdf | Pattern Mining}} | Guidotti|
-|22.| 02.12.2024 | 11-13 |C1| Lab. Pattern Mining & Exercises | {{ :dm:14_dm1_pattern_mining_2024_25.pdf | Pattern Mining}}, {{ :dm:dm1_lab06_pattern_mining.zip | Pattern Mining}}  | Guidotti|
-|23.| 03.12.2024 | 14-16 |C1| Rule-based Classifiers | {{ :dm:15_dm1_rule_based_classifier_2024_25.pdf | Rule-based Classifiers}}  | Guidotti|
-|24.| 05.12.2024 | 9-11 |C1| FP-Growth Exercises & Project Discussion   |   | Guidotti|
 ===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) =====
 ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^
 |01.| 18.02.2025 | 14-16 |A1| Overview, Imbalanced Learning | {{ :dm:16_dm2_intro_2024_25.pdf | Introduction}}, {{ :dm:dm2_project_guidelines_24_25.pdf | Guidelines}}, {{ :dm:17_dm2_imbalanced_learning_2024_25.pdf | Imbalanced Learning}}, [[https://unipiit.sharepoint.com/:v:/s/a__td_64992/EWrX2F6xAS9JtNXh1l5JIgMByAU0eMWBFr5sbGIYL3jakA|Link]] | Guidotti|
-|02.| 19.02.2025 | 09-11 |E| Dimensionality Reduction (Overview, Random, PCA) | {{ :dm:18_dm2_dimred_2024_25.pdf | Dimensionality Reduction}}, {{ :dm:dm2_lab01_imbalance.zip | LabImbLearn}}, {{ :dm:dm2_lab02_dimred.zip | LabDimRed}}, [[https://unipiit.sharepoint.com/:v:/s/a__td_64992/EXtiUFDI075FsJ5JZxc1AjkBZ06S7MJhVKhVUD8plrEMrg?e=RbH3To|Link]] | Guidotti|
-|03.| 24.02.2025 | 14-16 |E| Dimensionality Reduction (MDS, tSNE), Outlier Detection (Overview) | {{ :dm:19_dm2_anomaly_detection_2024_25.pdf | Outlier Detection}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EWeMgbhOR0lGjrIRnidGv_QBltzRtyriUeXqMHlOZXq1bA?e=8GN0eC |Link]] | Guidotti|
-|04.| 26.02.2025 | 09-11 |E| Outlier Detection (Methods) | {{ :dm:19_dm2_anomaly_detection_2024_25.pdf | Outlier Detection}}, {{ :dm:dm2_lab03_outlier_det.zip |LabOutDet}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EWrBINmEU_9En7HBfFl9RV8Bsfh0gv2_1scH5P0BqDkdXQ |Link]], [[https://unipiit.sharepoint.com/:v:/s/a__td_64992/EW-ssQNGV8JGvCMhhUD-xNUBFrJFU5MKNwBMy8i6u5g5IA?e=Mc3HHN | Link2]]  | Guidotti|
-|05.| 04.03.2025 | 11-13 |D3| Outlier Detection (Methods) | {{ :dm:19_dm2_anomaly_detection_2024_25.pdf | Outlier Detection}}, {{ :dm:dm2_lab03_outlier_det.zip |LabOutDet}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EY6wbzFDXkRHndtIx90Ayb0B77VTX8mcXQXI_Z3nIOYo9g?e=BJ3CNf |Link]], [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/Ect99g3RSAlDrdTYJgZ2Fm0B2BbVTtr-WqUE3hYjkJuQEA?e=2LnXZG |Link2]]  | Guidotti|
-|06.| 05.03.2025 | 09-11 |C| Outlier Detection (Methods), Gradient Descent | {{ :dm:19_dm2_anomaly_detection_2024_25.pdf | Outlier Detection}}, {{ :dm:dm2_lab03_outlier_det.zip |LabOutDet}}, {{ :dm:20_dm2_gradient_descent_2024_25.pdf | GD}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ETgyScDQOW5Dgaoiu_RmQKsBvu7i5AIXn-hItudrFzvg4g?e=yzD6WN |Link]]  | Guidotti|
-|07.| 10.03.2025 | 11-13 |E| Maximum Likelihood Estimation, Odds, Log Odds, Logistic Regression | {{ :dm:21_dm2_maximum_likelihood_estimation_2024_25.pdf | MLE}}, {{ :dm:22_dm2_odds_2024_25.pdf | Odds}},{{ :dm:23_dm2_logistic_regression_2024_25.pdf | LogReg}}, {{ :dm:dm2_lab04_logistic_reg.zip | LabLogReg}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ETgyScDQOW5Dgaoiu_RmQKsBvu7i5AIXn-hItudrFzvg4g?e=yzD6WN |Link]], [[ [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ETgyScDQOW5Dgaoiu_RmQKsBvu7i5AIXn-hItudrFzvg4g?e=yzD6WN |Link]] |Link2]] | Guidotti|
-|08.| 12.03.2025 | 09-11 |E| Support Vector Machines | {{ :dm:24_dm2_svm_2024_25.pdf | SVM}}, {{ :dm:dm2_lab05_svm.zip | LabSVM}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EU10T1Ogn7pHkUMRB0t3iGgBAJE_TX_FnXtmH2_w3w95Pw?e=wBg4Kn |Link]], [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EVn8waCZketMmS5jE3m-u5sBZHZYTbvAx87DGPgynFMv0g?e=0ohaLq |Link2]]  | Guidotti|
-|09.| 17.03.2025 | 11-13 |E| Neural Networks, Linear Perceptron | {{ :dm:25_dm2_perceptron_2024_25.pdf | Neural Network}}, {{ :dm:dm2_lab06_neural_networks.zip | LabNN}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EYpWxyzOb2BOriv-qzdF1LgBULySoNUU5qS18_Kj3D1pTg?e=lpdcyq |Link]]  | Guidotti|
-|10.| 19.03.2025 | 09-11 |E| Deep Neural Networks | {{ :dm:26_dm2_neural_network_2024_25.pdf | Deep Neural Network}}, {{ :dm:dm2_lab06_neural_networks.zip | LabNN}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EXn8ZmDM0q5FuqqGSe8VabYBS2jmjjhlS_Z5J8gqNaW-QQ?e=vg5QWG |Link]]  | Guidotti|
-|11.| 24.03.2025 | 11-13 |E| Ensemble Methods | {{ :dm:27_dm2_ensemble_2024_25.pdf | Ensemble Methods}}, {{ :dm:dm2_lab07_ensemble.zip |LabEnsemble}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/Efwq4uqQptVGtUFMhzy1_-UBhGUu6dii-4ZextmLvHscug?e=me0tex |Link]]  | Guidotti|
-|12.| 26.03.2025 | 09-11 |E| Ensemble Methods | {{ :dm:27_dm2_ensemble_2024_25.pdf | Ensemble Methods}}, {{ :dm:28_dm2_gradient_boost_2024_25.pdf | Gradient Boosting}}, {{ :dm:dm2_lab07_ensemble.zip |LabEnsemble}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EXvE6wTpN2BInKpz7FjWjXQBnBGDO64a6yv73rQ7QOCwmg?e=bQYffK |Link]]  | Guidotti|
-|13.| 31.03.2025 | 11-13 |E| Ensemble Methods | {{ :dm:27_dm2_ensemble_2024_25.pdf | Ensemble Methods}}, {{ :dm:28_dm2_gradient_boost_2024_25.pdf | Gradient Boosting}}, {{ :dm:dm2_lab07_ensemble.zip |LabEnsemble}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EQkGUk8URIdDjeaCv-1f4CYBtRSZkUqtdGAKu8C3Lz8QAg?e=oNkk1u |Link]], [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ETNVlrEbWQFLtcXIh6yPTRoBzjfiWxA_4uNuUr3K7rglhA?e=7wkTSL |Link]]  | Guidotti|
-|14.| 02.04.2025 | 09-11 |E| Explainable Artiticial Intelligence | {{ :dm:29_dm2_explainability_2024_25.pdf | XAI}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EZm67TidbZtIs5iscelNLNkBoL5Ou1PZ7O-rO14H0GATfw?e=R97gfd |Link]]  | Guidotti|
-|15.| 07.04.2025 | 11-13 |E| Explainable Artiticial Intelligence | {{ :dm:29_dm2_explainability_2024_25.pdf | XAI}}, {{ :dm:dm2_lab08_xai.zip | LabXAI}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ERnvQmqb59NCkgrLpyd85w4BZYFyxX0XnsOLk0GwqTEgyQ?e=qrmnjs |Link]]  | Guidotti|
-|16.| 09.04.2025 | 09-11 |E| Transactional Clustering | {{ :dm:30_dm2_transactional_clustering_2024_25.pdf | Transactional Clustering}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EeRyorJxnYtLh83YVPZ66xwBkMrr14kmDGhrscX5NuTXTw?e=hOb1zx |Link]]  | Guidotti|
-|17.| 14.04.2025 | 11-13 |C| Sequential Pattern Mining | {{ :dm:31_dm2_sequential_pattern_mining_2024_25.pdf | GSP}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/Efl8bH67zQ1GnSoOhGLLKgcBzF14ZdF3opb8mi-WV0KXJg?e=akHpP4 |Link]]  | Guidotti|
-|18.| 16.04.2025 | 9-11 |C| Sequential Pattern Mining | {{ :dm:31_dm2_sequential_pattern_mining_2024_25.pdf | GSP}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ERycsmADkv5Nhq8xbRadgSwBa3EWHdtBIZJhYlj1grEKCQ?e=hKYcni |Link]]  | Guidotti|
-|19.| 28.04.2025 | 11-13 |E| Time Series - Intro & Preprocessing |{{ :dm:32_dm2_time_series_preprocessing_2024_25.pdf | TS_Preprocessing}}, {{ :dm:dm2_lab09_ts_preprocessing.zip | LabTS_Prep}}, Video Missing | Guidotti|
-|20.| 30.04.2025 | 09-11 |E| Time Series - Similarities & Distances | {{ :dm:33_dm2_time_series_similarity_2024_25.pdf | TS_Similarity}}, {{ :dm:dm2_lab10_ts_dist.zip | LabTS_Sim}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ER3DhpHdMqBArNpEA1NKPgcBZysjQTGU3W9HTc6bzaaCCQ?e=Aeh7CD |Link]] | Guidotti|
-|21.| 05.05.2025 | 09-11 |E| Time Series - Aprroximation & Clustering | {{ :dm:34_dm2_time_series_approximation_clustering_2024_25.pdf | TS_ApproxClustering}}, {{ :dm:dm2_lab11_ts_approx_clustering.zip  | LabTS_ApproxClustering}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/ER3DhpHdMqBArNpEA1NKPgcBZysjQTGU3W9HTc6bzaaCCQ?e=Aeh7CD |Link]] | Guidotti|
-|22.| 07.05.2025 | 11-13 |E| Time Series - Matrix Profile |{{ :dm:35_dm2_time_series_matrix_profile_2024_25.pdf | TS_MatrixProfile}}, {{ :dm:dm2_lab12_ts_matrixprofile.zip | LabTS_MatrixProfile}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EdtlOrd_oFRPjiOmAx-eKd0BvpEh1j9xriGhEgN8Vv0bkw?e=FpcIGt |Link]] | Guidotti|
-|23.| 12.05.2025 | 09-11 |E| Time Series - Classification | {{ :dm:36_dm2_time_series_classification_2024_25.pdf | TS_Classification}}, {{ :dm:dm2_lab13_ts_classification.zip | LabTS_Classification}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EV_0MjXUb1NEkCijo7f18fgB2NUoSzKUSO6hZZn6sxKJ0w?e=WMGGL3 |Link]] | Guidotti|
-|24.| 14.05.2025 | 11-13 |E| Time Series - Classification | {{ :dm:36_dm2_time_series_classification_2024_25.pdf | TS_Classification}}, {{ :dm:dm2_lab13_ts_classification.zip | LabTS_Classification}}, [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EQ6U-VR5E-5AvIxRMtT5jo0B9pLAc6khNdAQIeXr40xByg?e=jvGVph |Link]], [[ https://unipiit.sharepoint.com/:v:/s/a__td_64992/EeumwM-NkM5Jtr3Xt8BeCP4BDWGlbVJSNsAnKS4ogh_Uxg?e=naKzjZ |Link]] | Guidotti|
 ====== Exams ======
@@ Linea 215: / Linea 161: @@
 *** Exams Registration Instructions for DM1***
-- Use the Google registration form: [[https://forms.gle/JFULK3nNsHBU6Tqa8|here]] if you cannot register on Esami on Data Mining for year 2024/2025.
+- Use the Google registration form: TBD if you cannot register on Esami on Data Mining for year 2025/2026.
 - When the registration closes you will receive a link to the Agenda
 - Register on the Agenda selecting day and time (do not change you choice or cancel, if you book you want to do the exam)
@@ Linea 222: / Linea 168: @@
 ===== Exam Booking Periods =====
   * Exam portal link: [[https://esami.unipi.it/|here]]
-  * Registration Form: [[https://forms.gle/NuAvCa3YK2h8MgrX7|here]]
+  * Registration Form: TBD
-  * 1st Appello: from 08/01/2025 to 16/01/2025
+  * 1st Appello: from TBD to TBD
-  * 2nd Appello: from 30/01/2025 to 05/02/2025
+  * 2nd Appello: from TBD to TBD
   * 3rd Appello: from TBD to TBD
   * 4th Appello: from TBD to TBD
@@ Linea 240: / Linea 186: @@
   * **Dataset**
-    - Assigned: 15/10/2024
+    - Assigned: 15/10/2025
-    - MidTerm Submission: <del>15/11/2024</del> **22/11/2024** (+0.5) (half project required, i.e., Data Understanding & Preparation and Clustering)
+    - MidTerm Submission: 15/11/2025 (+0.5) (half project required, i.e., Data Understanding & Preparation and Clustering)
-    - Final Submission: 31/12/2024 (+0.5) one week before the oral exam (complete project required).
+    - Final Submission: 31/12/2025 (+0.5) one week before the oral exam (complete project required).
-    - Dataset: {{ :dm:dm1_dataset_2425_imdb.zip | IMDb}}
+    - Dataset: TBD
 ** DM1 Project Guidelines **
-See {{ :dm:dm1_project_guidelines_24_25.pdf | Project Guidelines}}.
+See TBD.
@@ Linea 258: / Linea 204: @@
   * **Dataset**
-    - Assigned: 18/02/2025
+    - Assigned: 18/02/2026
-    - MidTerm Submission: 07/05/2025
+    - MidTerm Submission: 07/05/2026
     - Final Submission: one week before the oral exam (complete project required).
-    - Dataset: {{ :dm:dm2_dataset_2425_imdb.zip | IMDb Extended & IMDb Time Series}}
+    - Dataset: TBD
 ** DM2 Project Guidelines **
-See {{ :dm:dm2_project_guidelines_24_25.pdf | Project Guidelines}}.
+See TBD.
@@ Linea 289: / Linea 235: @@
 ====== Previous years =====
+  * [[dm_ds2024-25]]
   * [[dm_ds2023-24]]
   * [[dm.2022-23ds]]