Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- dm:start [13/11/2025 alle 07:44 (5 settimane fa)] – [First Semester (DM1 - Data Mining: Foundations)] Fosca Giannotti
+++ dm:start [18/12/2025 alle 11:57 (3 giorni fa)] (versione attuale) – [First Semester (DM1 - Data Mining: Foundations)] Fosca Giannotti
@@ Linea 35: / Linea 35: @@
 ====== News ======
+     * **[17.12.2025] DM Exam Registration instruction available in Exam section**.
+     * [01.12.2025] The lecture of Thursday 04/12/2025 is moved to Friday 05/12/2025 9-11 in room C (project presentation of Prof.ssa Pierotti will start at 11 after DM lecture). The last lecture will be held on Tuesday 09/12/2025 9-11 in room M1 (as Monday 08/12/2025 is holiday), while the lecture of P4DS is moved to 09/12/2025 16-18 in room C1.
+     * [19.11.2025] The lecture of Thursday 20/11/2025 will be held in room N1 due to not usability of room E.
      * [07.10.2025] The lecture of Thursday 10/10/2025 is canceled due to the UniPi Orienta event. The recovery lecture is Tuesday 14/10/2025 9-11 room M1.
      * [06.10.2025] Link to Project Groups Registration DM1 [25/26] (max 3 students for each group - access with your University of Pisa account, deadline 17/10/2025:)  [[https://docs.google.com/spreadsheets/d/1JX3VRwcZZFcTdpiguEwPsR_p4gDyRd7J89O84J7AeyY/edit?gid=0#gid=0| Link]]
      * [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.
+----
 ====== Learning Goals ======
@@ Linea 83: / Linea 89: @@
       * Google Meet slot - https://calendly.com/alessio-cascione-phd/30min
       * Alternative appointment by email
+      * I will be out of office from 05/12/2025 to 15/12/2025, checking emails and answering  sporadically.
@@ Linea 124: / Linea 131: @@
 Check the document:
 https://docs.google.com/document/d/1OLa02xofxRPj1zUJ7zm_boxL_ZeAFR1HWCB4lgozgz8/edit?usp=sharing
+===== Recording past years =====
+Link to past years recordings (incrementally updated with respect to the current lectures of the course)
+https://unipiit-my.sharepoint.com/:f:/g/personal/a_cascione_studenti_unipi_it/IgCdnqZe6wTKQJR_4yVrXE3gAcmqWHBSxvxW0HtsA596LWQ?e=OCa34K
 ===== Software=====
@@ Linea 150: / Linea 165: @@
 |04.| 13.10.2025 | 09-11 | E | Data Understanding | {{ :dm:01_dm1_data_understanding_2025_26.pdf | Data Understanding }} | Pedreschi |
 |05.| 14.10.2025 | 09-11 | C1 | Data Preparation | {{ :dm:02_dm1_data_preparation_2025_26.pdf | Data Preparation}}, {{ :dm:03_dm1_data_similarity_2025_26.pdf | Data Similarity}} | Guidotti |
-|04.| 16.10.2025 | 09-11 | E | Data Understanding Lab| {{ :dm:16.10.25_data_understanding_2025_lecture_in_class.zip |}} | Guidotti, Cascione |
+|06.| 16.10.2025 | 09-11 | E | Data Understanding Lab| {{ :dm:16.10.25_data_understanding_2025_lecture_in_class.zip |}} | Guidotti, Cascione |
-|06.| 20.10.2025 | 09-11 | E | Data Similarity and Introduction to Clustering | {{ :dm:03_dm1_data_similarity_2025_26.pdf | Data Similarity}}, {{ :dm:04_dm1_clustering_intro_2025_26.pdf | Introduction to Clustering}} | Guidotti |
+|07.| 20.10.2025 | 09-11 | E | Data Similarity and Introduction to Clustering | {{ :dm:03_dm1_data_similarity_2025_26.pdf | Data Similarity}}, {{ :dm:04_dm1_clustering_intro_2025_26.pdf | Introduction to Clustering}} | Guidotti |
-|07.| 23.10.2025 | 09-11 | E | Centroid-based Clustering Algorithm | {{ :dm:05_dm1_kmeans_2025_26.pdf | Centroid-based Clustering}} | Guidotti |
+|08.| 23.10.2025 | 09-11 | E | Centroid-based Clustering Algorithm | {{ :dm:05_dm1_kmeans_2025_26.pdf | Centroid-based Clustering}} | Guidotti |
-|08.| 27.10.2025 | 09-11 | E | Hierarchical Clustering Algorithm | {{ :dm:06_dm1_hierarchical_clustering_2025_26.pdf | Hierarchical Clustering}} | Guidotti |
+|09.| 27.10.2025 | 09-11 | E | Hierarchical Clustering Algorithm | {{ :dm:06_dm1_hierarchical_clustering_2025_26.pdf | Hierarchical Clustering}} | Guidotti |
-|09.| 27.10.2025 | 09-11 | E | Density-based Clustering Algorithm | {{ :dm:07_dm1_density_based_2025_26.pdf | Density-based Clustering}} | Guidotti |
+|10.| 27.10.2025 | 09-11 | E | Density-based Clustering Algorithm | {{ :dm:07_dm1_density_based_2025_26.pdf | Density-based Clustering}} | Guidotti |
-|10.|03.11.2025 | 09-11 | E | Clustering Lab | {{ :dm:03.11.25_clustering_2025_lecture_in_class.zip |}} | Pedreschi, Cascione |
+|11.|03.11.2025 | 09-11 | E | Clustering Lab | {{ :dm:03.11.25_clustering_2025_lecture_in_class.zip |}} | Pedreschi, Cascione |
-|11.|04.11.2025 | 09-11 | C1 | Classification: Overview and K-Nearest Neighbours | {{ :dm:08_dm1_classification_intro_2024_25.pptx.pdf | Classification Overview }} {{ :dm:09_dm1_knn_2024_25.pptx.pdf | KNN Classifier }} | Pedreschi |
+|12.|04.11.2025 | 09-11 | C1 | Classification: Overview and K-Nearest Neighbours | {{ :dm:08_dm1_classification_intro_2024_25.pptx.pdf | Classification Overview }} {{ :dm:09_dm1_knn_2024_25.pptx.pdf | KNN Classifier }} | Pedreschi |
-|12.|06.11.2025 | 09-11 | E | Classification: Naive Bayes Classifier and Exercises | {{ :dm:10_dm1_naive_bayes_2024_25.pptx.pdf | Naive Bayes }} | Pedreschi |
+|13.|06.11.2025 | 09-11 | E | Classification: Naive Bayes Classifier and Exercises | {{ :dm:10_dm1_naive_bayes_2024_25.pptx.pdf | Naive Bayes }} | Pedreschi |
-|12.|10.11.2025 | 09-11 | E | Classification: Evaluation | {{ :dm:11_dm1_classification_eval_2024_25.pptx.pdf | Model evaluation }} | Pedreschi |
+|14.|10.11.2025 | 09-11 | E | Classification: Evaluation | {{ :dm:11_dm1_classification_eval_2024_25.pptx.pdf | Model evaluation }} | Pedreschi |
+|15.|13.11.2025 | 09-11 | E | Classification: Decision Trees (1) | {{ :dm:12_dm1_decision_trees_2024_25.pptx.pdf | Decision trees }} | Pedreschi |
+|16.|17.11.2025 | 09-11 | D5 | Classification: Decision Trees (2) |  | Pedreschi |
+|17.|18.11.2025 | 09-11 | C1 | Classification: Decision Trees (3) |  | Pedreschi |
+|18.|20.11.2025 | 09-11 | N1 | Classification Lab | {{ :dm:20.11.25_classification_2025_lecture_in_class.zip |}} | Guidotti, Cascione |
+|19.|24.11.2025 | 09-11 | E | Pattern Mining: Apriori | {{ :dm:14_dm1_pattern_mining_2024_25.pptx.pdf | Pattern mining & association rules }} | Pedreschi |
+|20.|25.11.2025 | 09-11 | C | Pattern Mining: Lift, Interest, Multiattribute |  | Pedreschi |
+|21.|27.11.2025 | 09-11 | E | Regression: Problem, Linear, KNN, Decision Tree | {{ :dm:13_dm1_linear_regression_2024_25.pptx.pdf | Regression }} | Pedreschi |
+|22.|01.12.2025 | 09-11 | E | Lab on Regression and Pattern Mining; FPGROWTH| {{ :dm:01.12.25_regression_2025_lecture_in_class.zip |}}, {{ :dm:01.12.25_pattern_mining_2025_lecture_in_class.zip |}}, {{ :dm:14_dm1_pattern_mining_2024_25.pptx.pdf | FPGROWTH }}| Guidotti, Cascione |
+|23.|04.12.2025 | 09-11 | C | Exercises Pattern Mining & Decision Trees |  | Guidotti |
+|24.|09.12.2025 | 09-11 | M1 | Rule-based Classifiers |{{ :dm:15_dm1_rule_based_classifier_2025_26.pdf | Rule-Based Classifier}}  | Guidotti |
 ===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) =====
@@ Linea 193: / Linea 220: @@
 - Submit the project at least 1 week before the day you selected (or within 31/12 to get +0.5 extra mark)
-===== Exam Booking Periods =====
+===== Exam Enrollment Instruction =====
-  * Exam portal link: [[https://esami.unipi.it/|here]]
+  * If you are a student of Data Science 1st year
-  * Registration Form: TBD
+  * Then register here: [[https://forms.gle/598HEN1BMQDzPmiP8|here]]
-  * 1st Appello: from TBD to TBD
+  * Else (not Data Science first year or other degrees like Digital Humanities or any other) register [[https://esami.unipi.it/|here]]
-  * 2nd Appello: from TBD to TBD
+  * Deadline: 09/01/2026
-  * 3rd Appello: from TBD to TBD
+  * Oral Exams will start from the 14/01/2026
-  * 4th Appello: from TBD to TBD
+  * The 10/01/2026 all those registered will receive an email with a link to an Agenda to select the exam day and the time slot
-  * 5th Appello: from TBD to TBD
-  * 6th Appello: from TBD to TBD