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dm:start [28/11/2022 alle 08:00 (22 mesi fa)] – [First Semester (DM1 - Data Mining: Foundations)] Riccardo Guidotti | dm:start [16/09/2024 alle 06:41 (7 giorni fa)] (versione attuale) – Riccardo Guidotti | ||
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- | < | + | ====== Data Mining A.A. 2024/25 ====== |
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- | ====== Data Mining A.A. 2022/23 ====== | + | |
===== DM1 - Data Mining: Foundations (6 CFU) ===== | ===== DM1 - Data Mining: Foundations (6 CFU) ===== | ||
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Teaching Assistant | Teaching Assistant | ||
- | * **Francesco Spinnato** | + | * **Andrea Fedele** |
- | * KDDLab, | + | * KDDLab, |
- | * [[https://kdd.isti.cnr.it/people/spinnato-francesco]] | + | * [[https://www.linkedin.com/in/andrea-fedele/? |
- | * [[francesco.spinnato@sns.it]] | + | * [[andrea.fedele@phd.unipi.it]] |
===== DM2 - Data Mining: Advanced Topics and Applications (6 CFU) ===== | ===== DM2 - Data Mining: Advanced Topics and Applications (6 CFU) ===== | ||
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Teaching Assistant | Teaching Assistant | ||
- | * **Francesco Spinnato** | + | * **Andrea Fedele** |
- | * KDDLab, | + | * KDDLab, |
- | * [[https://kdd.isti.cnr.it/people/spinnato-francesco]] | + | * [[https://www.linkedin.com/in/andrea-fedele/? |
- | * [[francesco.spinnato@sns.it]] | + | * [[andrea.fedele@phd.unipi.it]] |
+ | * Meeting: https:// | ||
====== News ====== | ====== News ====== | ||
- | * [15.09.2022] Project Groups [[https:// | + | * **[02.09.2024]** Lectures will start on Monday 30 September 2024 at 11.00 room C1. |
- | * [15.09.2022] MS Teams [[https:// | + | * [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. |
- | * [15.09.2022] 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 [[TODO|link]] |
- | * **[23.11.2022]** In order to recover from skipped and suspended lectures we signal the presence of two new dates in unusual slots for our lectures, i.e., Wed 7th Dec 14.00-16.00 Room A1 and Wed 14th Dec 14.00-16.00 Room A1. | + | * [11.09.2023] MS Teams [[TODO|link]] |
====== 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 | ||
- | * Wednesday | + | * Wednesday |
* Room 363 Dept. of Computer Science or MS Teams | * Room 363 Dept. of Computer Science or MS Teams | ||
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^ Day of Week ^ Hour ^ Room ^ | ^ Day of Week ^ Hour ^ Room ^ | ||
- | | | + | | |
- | | | + | | |
**Office Hours - Ricevimento: | **Office Hours - Ricevimento: | ||
- | * Wednesday | + | * Tuesday |
* Room 363 Dept. of Computer Science or MS Teams | * Room 363 Dept. of Computer Science or MS Teams | ||
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* [[http:// | * [[http:// | ||
* [[http:// | * [[http:// | ||
- | * Didactic Data Mining [[http:// | + | * Didactic Data Mining [[http:// |
- | ====== Class Calendar (2021/2022) ====== | + | ====== Class Calendar (2024/2025) ====== |
===== First Semester (DM1 - Data Mining: Foundations) ===== | ===== First Semester (DM1 - Data Mining: Foundations) ===== | ||
- | ^ ^ Day ^ Time ^ Room ^ Topic ^ Learning | + | ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^ |
- | |01.| 15.09.2022 | 11-13 |A1| Overview, Intro, KDD and CRIPS. | {{ : | + | | |
- | | | + | | |
- | |02.| 22.09.2022 | 11-13 |A1| Project Guideliens & Intro to Python | {{ : | + | | |
- | | | + | | |
- | |03.| 29.09.2022 | 11-13 |A1| Data Understanding | {{ : | + | |01.| 30.09.2024 | 11-13 |C1| Overview, Introduction |
- | |04.| 03.10.2022 | 11-13 |A1| Data Understanding & Data Preparation | + | |
- | |05.| 06.10.2022 | 11-13 |A1| Lab. Data Understanding | {{ : | + | |
- | | | 10.10.2022 | 11-13 | | No Lecture | | | | + | |
- | |06.| 13.10.2022 | 11-13 |A1| Data Preparation, | + | |
- | |07.| 17.10.2022 | 11-13 |A1| Intro Clustering, K-Means | {{ : | + | |
- | |08.| 20.10.2022 | 11-13 |A1| K-Means | {{ : | + | |
- | |09.| 24.10.2022 | 11-13 |A1| Hierarchical & Density-based | {{ : | + | |
- | |10.| 27.10.2022 | 11-13 |A1| Lab. Clustering | {{ : | + | |
- | | | 30.10.2022 | 11-13 | | No Lecture | | | | + | |
- | |11.| 03.11.2022 | 11-13 |A1| Exercises Clustering | {{ : | + | |
- | |12.| 07.11.2022 | 11-13 |A1| Intro Classification | {{ : | + | |
- | |13.| 10.11.2022 | 11-13 |A1| Eval Measures, Exercises kNN | {{ :dm:08_dm1_classification_intro_2022_23.pdf | Intro Classification}}, {{ : | + | |
- | |14.| 14.11.2022 | 11-13 |A1| Decision Tree | {{ : | + | |
- | |15.| 17.11.2022 | 11-13 |A1| Decision Tree, Exercises DT | {{ : | + | |
- | |16.| 22.11.2022 | 11-13 |A1| Decision Tree | {{ : | + | |
- | |17.| 24.11.2022 | 11-13 |A1| Naive Bayes Classifier | {{ : | + | |
- | |18.| 28.11.2022 | 11-13 |A1| Lab. Classification | {{ : | + | |
- | |19.| 01.12.2022 | 11-13 |A1| Intro Regression | | Guidotti | | + | |
- | |20.| 05.12.2022 | 11-13 |A1| Pattern Mining | | + | |
- | |21.| 07.12.2022 | 14-16 |A1| Pattern Mining | | Pedreschi | | + | |
- | | | 08.12.2022 | 11-13 | | No Lecture | | | | + | |
- | |22.| 12.12.2022 | 11-13 |A1| Sequential Pattern Mining | | Guidotti | | + | |
- | |23.| 12.12.2022 | 14-16 |A1| Sequential Pattern Mining | | Guidotti | | + | |
- | |24.| 12.12.2022 | 11-13 |A1| Lab. Pattern Mining | | Spinnato/ | + | |
===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) ===== | ===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) ===== | ||
- | ^ ^ Day ^ Room ^ Topic ^ Learning | + | ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer |
- | | 01.| 14.02.2022 11:00--13:00 | | + | |01.| 19.02.2024 | 14-16 |C| Overview, Rule-based Models | {{ :dm: |
====== Exams ====== | ====== Exams ====== | ||
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** What: ** | ** What: ** | ||
The oral test will evaluate the practical understanding of the algorithms. The exam will evaluate three aspects. | The oral test will evaluate the practical understanding of the algorithms. The exam will evaluate three aspects. | ||
- | - Understanding of the theoretical aspects of the topics addressed during the course. The student may be required to write on formulas or pseudocode. During the explanations, | + | - Understanding of the theoretical aspects of the topics addressed during the course. The student may be required to write on formulas or pseudocode. During the explanations, |
- Understanding of the algorithms illustrated during the course and their practical implementation. You will be asked to perform one or more simple exercises. The text will be shown on the teacher' | - Understanding of the algorithms illustrated during the course and their practical implementation. You will be asked to perform one or more simple exercises. The text will be shown on the teacher' | ||
- Discussion of the project with questions from the teacher regarding unclear aspects, | - Discussion of the project with questions from the teacher regarding unclear aspects, | ||
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average mark of DM1 and DM2. | average mark of DM1 and DM2. | ||
- | **Exam Booking Periods** | + | ===== Exam Booking Periods |
* Exam portal link: [[https:// | * Exam portal link: [[https:// | ||
- | * 1st Appello: | + | * 1st Appello: |
- | * 2nd Appello: | + | * 2nd Appello: from TBD to TBD |
+ | * 3rd Appello: from TBD to TBD | ||
+ | * 4th Appello: | ||
+ | * 5th Appello: from TBD to TBD | ||
+ | * 6th Appello: from TBD to TBD | ||
- | **Exam Booking Agenda** | + | ===== Exam Booking Agenda |
- | * Agenda Link: [[https:// | + | 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: | + | |
- | * 2nd Appello: | + | |
+ | | ||
+ | * 3rd Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD) | ||
+ | * 4th Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD) | ||
+ | * 5th Appello: | ||
+ | * 6th Appello: | ||
+ | |||
+ | |||
+ | **Do not forget to make the evaluation of the course!!!** | ||
===== Exam DM1 ====== | ===== Exam DM1 ====== | ||
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* An **oral exam**, that includes: (1) discussing the project report; (2) discussing topics presented during the classes, including the theory and practical exercises. | * An **oral exam**, that includes: (1) discussing the project report; (2) discussing topics presented during the classes, including the theory and practical exercises. | ||
- | * A **project**, | + | * A **project**, |
* **Dataset** | * **Dataset** | ||
- | - Assigned: | + | - Assigned: |
- | - MidTerm Submission: | + | - MidTerm Submission: |
- | - Final Submission: | + | - Final Submission: 31/12/2024 (+0.5) |
- | - Dataset: | + | - Dataset: |
- | - Link original pages: [[https:// | + | |
** DM1 Project Guidelines ** | ** DM1 Project Guidelines ** | ||
- | See {{ :dm:dm1_project_guidelines_22_23.pdf | Project Guidelines}}. | + | See {{ :dm:dm1_project_guidelines_23_24.pdf | Project Guidelines}}. |
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===== Exam DM2 ====== | ===== Exam DM2 ====== | ||
- | TBD | + | The exam is composed of two parts: |
+ | |||
+ | * An **oral exam**, that includes: (1) discussing the project report; (2) discussing topics presented during the classes, including the theory and practical exercises. | ||
+ | |||
+ | * A **project**, | ||
+ | |||
+ | * **Dataset** | ||
+ | - Assigned: 19/ | ||
+ | - 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). | ||
+ | - Dataset: | ||
+ | |||
+ | ** DM2 Project Guidelines ** | ||
+ | See {{ : | ||
- | ====== Exam Dates ====== | ||
- | ===== Exam Sessions ===== | ||
- | ^ Session ^ Date ^ Room ^ Notes ^ Marks ^ | ||
- | |1.|10.01.2023| | Please, use the system for registration: | ||
- | |2.|31.01.2023| | Please, use the system for registration: | ||
- | |3.|?? | ||
- | |4.|?? | ||
- | |5.|?? | ||
- | |6.|?? | ||
===== Past Exams ===== | ===== Past Exams ===== | ||
* Past exams texts can be found in old pages of the course. Please do not consider these exercises as a unique way of testing your knowledge. Exercises can be changed and updated every year and will be published together with the slides of the lectures. | * Past exams texts can be found in old pages of the course. Please do not consider these exercises as a unique way of testing your knowledge. Exercises can be changed and updated every year and will be published together with the slides of the lectures. | ||
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====== Previous years ===== | ====== Previous years ===== | ||
+ | * [[dm_ds2023-24]] | ||
+ | * [[dm.2022-23ds]] | ||
* [[dm.2021-22ds]] | * [[dm.2021-22ds]] | ||
* [[dm.2020-21]] | * [[dm.2020-21]] |
dm/start.1669622411.txt.gz · Ultima modifica: 28/11/2022 alle 08:00 (22 mesi fa) da Riccardo Guidotti