dm:start
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| dm:start [27/11/2025 alle 09:46 (3 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 | ||
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| ====== News ====== | ====== 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. | * [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. | * [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. | ||
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| * Google Meet slot - https:// | * Google Meet slot - https:// | ||
| * Alternative appointment by email | * Alternative appointment by email | ||
| + | * I will be out of office from 05/12/2025 to 15/12/2025, checking emails and answering | ||
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| |04.| 13.10.2025 | 09-11 | E | Data Understanding | {{ : | |04.| 13.10.2025 | 09-11 | E | Data Understanding | {{ : | ||
| |05.| 14.10.2025 | 09-11 | C1 | Data Preparation | {{ : | |05.| 14.10.2025 | 09-11 | C1 | Data Preparation | {{ : | ||
| - | |04.| 16.10.2025 | 09-11 | E | Data Understanding Lab| {{ : | + | |06.| 16.10.2025 | 09-11 | E | Data Understanding Lab| {{ : |
| - | |06.| 20.10.2025 | 09-11 | E | Data Similarity and Introduction to Clustering | {{ : | + | |07.| 20.10.2025 | 09-11 | E | Data Similarity and Introduction to Clustering | {{ : |
| - | |07.| 23.10.2025 | 09-11 | E | Centroid-based Clustering Algorithm | {{ : | + | |08.| 23.10.2025 | 09-11 | E | Centroid-based Clustering Algorithm | {{ : |
| - | |08.| 27.10.2025 | 09-11 | E | Hierarchical Clustering Algorithm | {{ : | + | |09.| 27.10.2025 | 09-11 | E | Hierarchical Clustering Algorithm | {{ : |
| - | |09.| 27.10.2025 | 09-11 | E | Density-based Clustering Algorithm | {{ : | + | |10.| 27.10.2025 | 09-11 | E | Density-based Clustering Algorithm | {{ : |
| - | |10.|03.11.2025 | 09-11 | E | Clustering Lab | {{ : | + | |11.|03.11.2025 | 09-11 | E | Clustering Lab | {{ : |
| - | |11.|04.11.2025 | 09-11 | C1 | Classification: | + | |12.|04.11.2025 | 09-11 | C1 | Classification: |
| - | |12.|06.11.2025 | 09-11 | E | Classification: | + | |13.|06.11.2025 | 09-11 | E | Classification: |
| - | |13.|10.11.2025 | 09-11 | E | Classification: | + | |14.|10.11.2025 | 09-11 | E | Classification: |
| - | |14.|13.11.2025 | 09-11 | E | Classification: | + | |15.|13.11.2025 | 09-11 | E | Classification: |
| - | |15.|17.11.2025 | 09-11 | D5 | Classification: | + | |16.|17.11.2025 | 09-11 | D5 | Classification: |
| - | |16.|18.11.2025 | 09-11 | C1 | Classification: | + | |17.|18.11.2025 | 09-11 | C1 | Classification: |
| - | |17.|20.11.2025 | 09-11 | N1 | Classification Lab | {{ : | + | |18.|20.11.2025 | 09-11 | N1 | Classification Lab | {{ : |
| - | |18.|24.11.2025 | 09-11 | E | Pattern Mining: Apriori | {{ : | + | |19.|24.11.2025 | 09-11 | E | Pattern Mining: Apriori | {{ : |
| - | |19.|25.11.2025 | 09-11 | C | Pattern Mining: Lift, Interest, | + | |20.|25.11.2025 | 09-11 | C | Pattern Mining: Lift, Interest, |
| + | |21.|27.11.2025 | 09-11 | E | Regression: Problem, Linear, KNN, Decision Tree | {{ : | ||
| + | |22.|01.12.2025 | 09-11 | E | Lab on Regression and Pattern Mining; FPGROWTH| {{ : | ||
| + | |23.|04.12.2025 | 09-11 | C | Exercises Pattern Mining & Decision Trees | | Guidotti | | ||
| + | |24.|09.12.2025 | 09-11 | M1 | Rule-based Classifiers |{{ : | ||
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| - Submit the project at least 1 week before the day you selected (or within 31/12 to get +0.5 extra mark) | - 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:// | + | * If you are a student of Data Science 1st year |
| - | * Registration Form: TBD | + | * Then register here: [[https:// |
| - | * 1st Appello: | + | * Else (not Data Science first year or other degrees like Digital Humanities or any other) register |
| - | * 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 |
| - | * 5th Appello: from TBD to TBD | + | |
| - | * 6th Appello: from TBD to TBD | + | |
dm/start.1764236790.txt.gz · Ultima modifica: 27/11/2025 alle 09:46 (3 settimane fa) da Fosca Giannotti