Strumenti Utente

Strumenti Sito


magistraleinformatica:dmi:start

Differenze

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

Link a questa pagina di confronto

Entrambe le parti precedenti la revisione Revisione precedente
Prossima revisione
Revisione precedente
Prossima revisione Entrambe le parti successive la revisione
magistraleinformatica:dmi:start [30/11/2021 alle 10:41 (2 anni fa)]
Anna Monreale [First Semester]
magistraleinformatica:dmi:start [14/01/2022 alle 01:37 (2 anni fa)]
Anna Monreale [Exams]
Linea 163: Linea 163:
 |24.| 12.11  09:00-10:45 | Motif & Shapelet Discovery | {{ :magistraleinformatica:dmi:23_time_series_shapelets-motif-2021.pdf |}} | {{ :magistraleinformatica:dmi:matrixprofile.pdf |}}  {{ :magistraleinformatica:dmi:shaplet.pdf |}} | | |24.| 12.11  09:00-10:45 | Motif & Shapelet Discovery | {{ :magistraleinformatica:dmi:23_time_series_shapelets-motif-2021.pdf |}} | {{ :magistraleinformatica:dmi:matrixprofile.pdf |}}  {{ :magistraleinformatica:dmi:shaplet.pdf |}} | |
 |25.| 17.11  14:15-16:00 | Lab: Association Rules & Sequential pattern mining by Python |  {{ :magistraleinformatica:dmi:arm-spm.zip |}} |  |  | |25.| 17.11  14:15-16:00 | Lab: Association Rules & Sequential pattern mining by Python |  {{ :magistraleinformatica:dmi:arm-spm.zip |}} |  |  |
-|26.| 18.11  14:15-16:00 | Ethics & Privacy | {{ :magistraleinformatica:dmi:19_ethics_privacy2021.pdf |}}  [[https://cs.gmu.edu/~jessica/BookChapterTSMining.pdf|Overview on DM for time series]]|  | +|26.| 18.11  14:15-16:00 | Ethics & Privacy | {{ :magistraleinformatica:dmi:19_ethics_privacy2021.pdf |}} {{ :dm:allegato1_chapter.pdf | Overview on Privacy}}  {{ :magistraleinformatica:dmi:allegato11-cpdp13.pdf |}}{{ :dm:capprivacy.pdf | Privacy by design}}  | 
-|27.| 19.11  09:00-10:45 | Lab: Time series |  {{ :magistraleinformatica:dmi:timeseries-py.zip |}} | | +|27.| 19.11  09:00-10:45 | Lab: Time series |   {{ :magistraleinformatica:dmi:timeseries-py.zip |}} | | 
-|28.| 24.11  14:15-16:00 | Explainability | {{ :magistraleinformatica:dmi:20_explainability_2021.pdf |}}  | Material: [[https://arxiv.org/pdf/1805.10820.pdf|LORE]] [[https://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf| LIME]]   [[http://delivery.acm.org/10.1145/3240000/3236009/a93-guidotti.pdf?ip=94.38.73.6&id=3236009&acc=OA&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2ED544636226B69D47&__acm__=1576196869_06b3353aae4fe3bd8ea30d9c9c5356eb|Survey]] {{ :magistraleinformatica:dmi:pkdd_2019_abele_cr.pdf |ABELE}} [[https://arxiv.org/pdf/1705.07874.pdf|SHAP]]{{ :magistraleinformatica:dmi:lasts.pdf | LASTS}}  |+|28.| 24.11  14:15-16:00 | Explainability | {{ :magistraleinformatica:dmi:20_explainability_2021.pdf |}}  | Material: [[https://arxiv.org/pdf/1805.10820.pdf|LORE]] [[https://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf| LIME]]   [[http://delivery.acm.org/10.1145/3240000/3236009/a93-guidotti.pdf?ip=94.38.73.6&id=3236009&acc=OA&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2ED544636226B69D47&__acm__=1576196869_06b3353aae4fe3bd8ea30d9c9c5356eb|Survey]] {{ :magistraleinformatica:dmi:pkdd_2019_abele_cr.pdf |ABELE}} [[https://arxiv.org/pdf/1705.07874.pdf|SHAP]] {{ :magistraleinformatica:dmi:lasts.pdf | LASTS}}  |
 |29.| 25.11  14:15-16:00 | Explainability + LAB XAI| {{ :magistraleinformatica:dmi:xai-lab.zip |}}  |  | | |29.| 25.11  14:15-16:00 | Explainability + LAB XAI| {{ :magistraleinformatica:dmi:xai-lab.zip |}}  |  | |
-|30.| 26.11  09:00-10:45 | LAB XAI + Anomaly Detection   |  |  | +|30.| 26.11  09:00-10:45 | LAB XAI + Anomaly Detection  {{ :magistraleinformatica:dmi:21_anomaly_detection_2020.pdf | AD&OD}} |  |  | 
-|31.| 01.12  14:15-16:00 | Anomaly Detection |   |  |  | +|31.| 01.12  14:15-16:00 | Anomaly Detection + Lab  {{ :magistraleinformatica:dmi:anomalydetection-1.ipynb.zip |ADPY}} |  |  | 
-|32.| 02.12  14:15-16:00 | Lab Anomaly Detection   |  | |+|32.| 02.12  14:15-16:00 | CRISP-DM {{ :magistraleinformatica:dmi:crisp-dm.pdf |}}  |  | |
 |.  | 03.12  09:00-10:45  |  Canceled |  |  | |.  | 03.12  09:00-10:45  |  Canceled |  |  |
-|33.| 15.12  14:15-16:00 | Paper Presentation |    |  | +|33.| 15.12  14:15-16:00 Room C| Paper Presentation |    |  | 
-|34.| 16.12  14:15-16:00 | Paper Presentation |    | | +|34.| 16.12  14:15-16:00 Room C| Paper Presentation |    | | 
-|35.| 17.12  09:00-10:45 | Paper Presentation |    |  |+|35.| 17.12  09:00-10:45 Room C| Paper Presentation |    |  |
  
 ====== Exams ====== ====== Exams ======
Linea 179: Linea 179:
  
 A project consists in data analyses based on the use of data mining tools.  A project consists in data analyses based on the use of data mining tools. 
-The project has to be performed by a team of 2/3 students. It has to be performed by using Python. The guidelines require to address specific tasks. Results must be reported in a unique paper. The total length of this paper must be max 20 pages of text including figures. The students must deliver both: paper (single column) and  well commented Python Notebooks.+The project has to be performed by a team of 2/3 students. It has to be performed by using Python. The guidelines require to address specific tasks. Results must be reported in a unique paper. The total length of this paper must be max 25 pages of text including figures. The students must deliver both: paper (single column) and  well commented Python Notebooks.
  
   * First part of the project consists in the **assignments** described here: {{ :magistraleinformatica:dmi:data_mining_project_2021_1_.pdf | Project Description}}   * First part of the project consists in the **assignments** described here: {{ :magistraleinformatica:dmi:data_mining_project_2021_1_.pdf | Project Description}}
-     **Dataset:** {{ :magistraleinformatica:dmi:prj_data.zip | Dataset}} +  - **Dataset:** {{ :magistraleinformatica:dmi:prj_data.zip | Dataset}} 
-     * **Deadline**: the fist part has to be delivered within  November, <del>5th 2021</del> 15th 2021.Send an email to: anna.monreale@unipi.it and francesca.naretto@sns.it +  **Deadline**: the fist part has to be delivered within  November, <del>5th 2021</del> 15th 2021.Send an email to: anna.monreale@unipi.it and francesca.naretto@sns.it 
    
   * Second part of the project consists in the assignment Task 3 described here: {{ :magistraleinformatica:dmi:data_mining_project_2021-2.pdf |Updated Project Description}}   * Second part of the project consists in the assignment Task 3 described here: {{ :magistraleinformatica:dmi:data_mining_project_2021-2.pdf |Updated Project Description}}
-    * **Deadline**: 5th January 2022+     **Deadline**: 5th January 2022 
 + 
 +  * Third part of the project consists in the assignment Task 4 described here: {{ :magistraleinformatica:dmi:data_mining_project_2021-6.pdf  |Updated Project Description}} 
 +   - Note that the document contains also rules for the delivery and final exam! 
 +   - Data for time series analysis: {{ :magistraleinformatica:dmi:cityglobaltemperature2000-2009.csv.zip |CityTemp}} 
 +   **Deadline**: 5th January 2022 
 + 
 + 
 +**Students who did not deliver the above project within 5th Jan 2022 need to ask by email a new project to the teachers. The project that will be assigned will require about 2 weeks of work and after the delivery it will be discussed during the oral exam. **
  
 ** Paper Presentation (OPTIONAL)** ** Paper Presentation (OPTIONAL)**
magistraleinformatica/dmi/start.txt · Ultima modifica: 22/03/2024 alle 20:34 (6 giorni fa) da Anna Monreale