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 [12/11/2021 alle 00:48 (7 mesi fa)]
Anna Monreale [First Semester]
magistraleinformatica:dmi:start [12/01/2022 alle 10:00 (5 mesi fa)]
Anna Monreale [Exams]
Linea 155: Linea 155:
 |17.| 27.10  14:15-16:00 | Neural Networks  |  {{ :magistraleinformatica:dmi:15_neural_networks_2021.pdf |}}| Chap. 4 Kumar Book|  | |17.| 27.10  14:15-16:00 | Neural Networks  |  {{ :magistraleinformatica:dmi:15_neural_networks_2021.pdf |}}| Chap. 4 Kumar Book|  |
 |18.| 28.10  14:15-16:00 | Python Lab on Classification | {{ :magistraleinformatica:dmi:adult_classification_2021.ipynb.zip |}} | |  | |18.| 28.10  14:15-16:00 | Python Lab on Classification | {{ :magistraleinformatica:dmi:adult_classification_2021.ipynb.zip |}} | |  |
-|19.| 29.11  09:00-10:45 | Canceled |  |   | |  + | 29.11  09:00-10:45 | Canceled |  |   | |  
-|20.| 03.11  14:15-16:00 | Python Lab on Classification + Association Rule Mining  | {{ :magistraleinformatica:dmi:classificationpython2.zip |}} {{ :magistraleinformatica:dmi:17_association_analysis2021.pdf |}} | Chap.5 Association Rules: Kumar Book|  | +|19.| 03.11  14:15-16:00 | Python Lab on Classification + Association Rule Mining  | {{ :magistraleinformatica:dmi:classificationpython2.zip |}} {{ :magistraleinformatica:dmi:17_association_analysis2021.pdf |}} | Chap.5 Association Rules: Kumar Book|  | 
-|21.| 04.11  14:15-16:00 | Association Rule Mining |   | |  Chap.5 Association Rules: Kumar Book| +|20.| 04.11  14:15-16:00 | Association Rule Mining |   | |  Chap.5 Association Rules: Kumar Book| 
-|22.| 05.11  09:00-10:45 | FP-Growth - Sequential Pattern Mining | {{ :magistraleinformatica:dmi:17_2021-fp-growth.pdf |}} |   | Chap.6 Kumar Book|  +|21.| 05.11  09:00-10:45 | FP-Growth - Sequential Pattern Mining | {{ :magistraleinformatica:dmi:17_2021-fp-growth.pdf |}} |   | Chap.6 Kumar Book|  
-|23.| 10.11  14:15-16:00 | Sequential Pattern Mining |  {{ :magistraleinformatica:dmi:18_sequential_patterns_2021.pdf |}} |Chap.7 Kumar Book |  | +|22.| 10.11  14:15-16:00 | Sequential Pattern Mining |  {{ :magistraleinformatica:dmi:18_sequential_patterns_2021.pdf |}} |Chap.7 Kumar Book |  | 
-|24.| 11.11  14:15-16:00 | Time Series Similarities, Transformations & Clustering | {{ :magistraleinformatica:dmi:22_time_series_similarity_2021.pdf |}}  | [[https://cs.gmu.edu/~jessica/BookChapterTSMining.pdf|Overview on DM for time series]]| +|23.| 11.11  14:15-16:00 | Time Series Similarities, Transformations & Clustering | {{ :magistraleinformatica:dmi:22_time_series_similarity_2021.pdf |}}  | [[https://cs.gmu.edu/~jessica/BookChapterTSMining.pdf|Overview on DM for time series]]| 
-|25.| 12.11  09:00-10:45 | Motif & Shapelet Discovery | {{ :magistraleinformatica:dmi:23_time_series_motif-2021.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 |}} |  |  | 
 +|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 |}} | | 
 +|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 |}}  |  | | 
 +|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 + Lab |  {{ :magistraleinformatica:dmi:anomalydetection-1.ipynb.zip |ADPY}} |  |  | 
 +|32.| 02.12  14:15-16:00 | CRISP-DM | {{ :magistraleinformatica:dmi:crisp-dm.pdf |}}  |  | | 
 +|.  | 03.12  09:00-10:45  |  Canceled |  |  | 
 +|33.| 15.12  14:15-16:00 Room C| Paper Presentation |    |  | 
 +|34.| 16.12  14:15-16:00 Room C| Paper Presentation |    | | 
 +|35.| 17.12  09:00-10:45 Room C| Paper Presentation |    |  |
  
 ====== Exams ====== ====== Exams ======
Linea 170: Linea 182:
  
   * 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}}
 +     - **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)**
  
-Students need to present a research paper (made available by the teacher) during the last week of the course. This presentation is OPTIONAL: Students that decide to do the paper presentation can avoid the oral exam with open questions. They only need to present the project (see next point).+Students need to present a research paper (made available by the teacher) during the last week of the course. This presentation is OPTIONAL: Students that decide to do the paper presentation can avoid the oral exam with open questions. They only need to present the project (see next point). The paper presentation can be done by the group or by a single person.
  
 **Oral Exam** **Oral Exam**
magistraleinformatica/dmi/start.txt · Ultima modifica: 18/02/2022 alle 19:43 (3 mesi fa) da Anna Monreale