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dm:start [13/05/2024 alle 10:51 (5 mesi fa)] – [Second Semester (DM2 - Data Mining: Advanced Topics and Applications)] Riccardo Guidottidm:start [16/09/2024 alle 06:41 (11 giorni fa)] (versione attuale) – Riccardo Guidotti
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-<html> +====== Data Mining A.A. 2024/25 ======
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-====== Data Mining A.A. 2023/24 ======+
  
 ===== DM1 - Data Mining: Foundations (6 CFU) ===== ===== DM1 - Data Mining: Foundations (6 CFU) =====
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     * Meeting: https://calendly.com/andreafedele/     * Meeting: https://calendly.com/andreafedele/
 ====== News ====== ====== News ======
- +     * **[02.09.2024]** Lectures will start on Monday 30 September 2024 at 11.00 room C1. 
-     * **[03.05.2024]** Next lecture of DM2 will be as usual on Monday 06/05 from 9 to 11 in room C. +     * [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. 
-     * [19.01.2024 DM2 Lectures will start on Mon 19/02, only for that lecture the time will be 14-16 instead of 9-11. +     * [02.09.2024] Project Groups [[TODO|link]] 
-     * [13.10.2023] To schedule meeting with the Teaching Assistant you can use: https://calendly.com/andreafedele/ +     * [11.09.2023] MS Teams [[TODO|link]] 
-     * [20.09.2023] Recordings of the lectures can be found on the web pages of the course for the years 2020/2021 and 2021/2022 (see links at the bottom of this page) +
-     * [20.09.2023] Thursday 21 September there will be no lecture. +
-     * [11.09.2023] Lectures will start on Monday 18 September 2023 at 11.00 room C1. +
-     * [11.09.2023] Lectures will be in presence only. Registrations of the lectures of past years can be found at the bottom of this web page. +
-     * [11.09.2023] Project Groups [[https://docs.google.com/spreadsheets/d/10R5AcqdlXsqTAxSys6zyqArvdytq4HH6Ik8Uy-NHkQ4/edit?usp=sharing|link]] +
-     * [11.09.2023] MS Teams [[https://teams.microsoft.com/l/team/19%3a7uEgK_aekrBFuOsbREccAa-tfqeSwvfBemfK_lG6HA01%40thread.tacv2/conversations?groupId=84cc4fec-41fc-4208-a9d4-a02675216d22&tenantId=c7456b31-a220-47f5-be52-473828670aa1|link]] +
 ====== Learning Goals ====== ====== Learning Goals ======
   * DM1   * DM1
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 ^  Day of Week  ^  Hour  ^  Room  ^  ^  Day of Week  ^  Hour  ^  Room  ^ 
 |  Monday  |  11:00 - 13:00  |  C1   |  |  Monday  |  11:00 - 13:00  |  C1   | 
-|  Wednesday  |  11:00 - 13:00  |  C1  | +|  Tuesday  |  14:00 - 16:00  |  C1  | 
  
 **Office hours - Ricevimento:** **Office hours - Ricevimento:**
  
   * Prof. Pedreschi   * Prof. Pedreschi
-      * Monday 16:00 - 18:00+      * TBD
       * Online       * Online
   * Prof. Guidotti   * Prof. Guidotti
-      * Tuesday 16:00 - 18:00 or Appointment by email+      * Wednesday 16:00 - 18:00 or Appointment by email
       * Room 363 Dept. of Computer Science or MS Teams       * Room 363 Dept. of Computer Science or MS Teams
  
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   * Didactic Data Mining [[http://matlaspisa.isti.cnr.it:5055/Help| DDMv1]], [[https://kdd.isti.cnr.it/ddm/#/| DDMv2]]    * Didactic Data Mining [[http://matlaspisa.isti.cnr.it:5055/Help| DDMv1]], [[https://kdd.isti.cnr.it/ddm/#/| DDMv2]] 
    
-====== Class Calendar (2023/2024) ======+====== Class Calendar (2024/2025) ======
  
 ===== First Semester (DM1 - Data Mining: Foundations) ===== ===== First Semester (DM1 - Data Mining: Foundations) =====
  
 ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^ ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^
-|01.| 18.09.2023 | 11-13 |C1| Overview, Introduction | {{ :dm:00_dm1_introduction_2023_24.pdf | Intro}} | Pedreschi| +|   | 16.09.2023 | |  | No Lecture |  |  | 
-|   | 20.09.2023 | 11-13 |  | No Lecture |  |  | +|   | 17.09.2023 | |  | No Lecture |  |  | 
-|02.| 25.09.2023 | 11-13 |C1| Lab. Introduction to Python | {{ :dm:dm1_lab01_python_basics.zip | Python Basic}} | Guidotti| +|   | 23.09.2023 | |  | No Lecture |  |  | 
-|03.| 27.09.2023 | 11-13 |C1| Lab. Data Understanding | {{ :dm:dm1_lab02_data_understanding.zip | Data Understanding}} | Guidotti| +|   | 24.09.2023 | |  | No Lecture |  |  | 
-|04.| 02.10.2023 | 11-13 |C1| Data Understanding | {{ :dm:01_dm1_data_understanding_2023_24.pdf | Data Understanding}} | Guidotti| +|01.| 30.09.2024 | 11-13 |C1| Overview, Introduction | {{ :dm:00_dm1_introduction_2023_24.pdf | Intro}} | Pedreschi| 
-|05.| 04.10.2023 | 11-13 |C1| Data Understanding & Preparation | {{ :dm:01_dm1_data_understanding_2023_24.pdf | Data Understanding}}, {{ :dm:02_dm1_data_preparation_2023_24.pdf | Data Preparation}} | Pedreschi| +
-|06.| 09.10.2023 | 11-13 |C1| Data Preparation & Data Similarity | {{ :dm:02_dm1_data_preparation_2023_24.pdf | Data Preparation}}, {{ :dm:03_dm1_data_similarity_2023_24.pdf | Data Similarity}} | Pedreschi| +
-|07.| 11.10.2023 | 11-13 |C1| Data Similarity & Lab. Data Understanding | {{ :dm:03_dm1_data_similarity_2023_24.pdf | Data Similarity}}, {{ :dm:dm1_lab02_data_understanding.zip | Data Understanding}} | Pedreschi| +
-|08.| 16.10.2023 | 11-13 |C1| Introduction to Clustering, K-Means | {{ :dm:04_dm1_clustering_intro_2023_24.pdf | Intro_Clustering}}, {{:dm:05_dm1_kmeans_2023_24.pdf | K-Means }} | Pedreschi| +
-|09.| 18.10.2023 | 11-13 |C1| Clustering Validation, Hierarchical Clustering | {{ :dm:04_dm1_clustering_intro_2023_24.pdf | Intro_Clustering}}, {{ :dm:06_dm1_hierarchical_clustering_2023_24.pdf | Hierarchical}} | Pedreschi| +
-|10.| 23.10.2023 | 11-13 |C1| Density-based Clustering | {{ :dm:07_dm1_density_based_2023_24.pdf | Density-based Clustering}} | Pedreschi| +
-|11.| 25.10.2023 | 11-13 |C1| Lab. Clustering | {{ :dm:dm1_lab03_clustering.zip | Clustering}}| Guidotti| +
-|12.| 30.10.2023 | 11-13 |C1| Ex. Clustering | {{ :dm:ex1_dm1_clustering_2023_24.pdf | ExClustering}}| Guidotti| +
-|   | 01.11.2023 | 11-13 |  | No Lecture |  |  | +
-|13.| 06.11.2023 | 11-13 |C1| Intro Classification, kNN[[https://unipiit.sharepoint.com/sites/a__td_61280/Shared%20Documents/General/Recordings/Lecture%2006_11_2023-20231106_110052-Registrazione%20della%20riunione.mp4?web=1|(video)]] | {{ :dm:08_dm1_classification_intro_2023_24.pdf | Intro_Classification}}, {{ :dm:09_dm1_knn_2023_24.pdf | kNN}}| Guidotti| +
-|14.| 08.11.2023 | 11-13 |C1| Naive Bayes, Exercises | {{ :dm:10_dm1_naive_bayes_2023_24.pdf | Naive Bayes}} | Guidotti| +
-|15.| 13.11.2023 | 11-13 |C1| Model Evaluation | {{ :dm:11_dm1_classification_eval_2023_24.pdf | Model Evaluation}} | Guidotti| +
-|16.| 15.11.2023 | 11-13 |C1| Model Evaluation Exercises & Lab | {{ :dm:dm1_lab04_classification_regression.zip | Classification}} | Guidotti| +
-|   | 20.11.2023 | 11-13 |  | No Lecture |  |  | +
-|17.| 22.11.2023 | 11-13 |C1| Decision Tree Classifier | {{ :dm:12_dm1_decision_trees_2023_24.pdf | Decision Tree}} | Pedreschi| +
-|18.| 27.11.2023 | 11-13 |C1| Decision Tree Classifier | {{ :dm:12_dm1_decision_trees_2023_24.pdf | Decision Tree}} | Pedreschi| +
-|19.| 29.11.2023 | 11-13 |C1| Exercises and Lab. Decision Tree Classifier | {{ :dm:dm1_lab04_classification.zip | Decision Tree}} | Guidotti| +
-|20.| 04.12.2023 | 11-13 |C1| Decision Tree Classifier, Exercises and Lab | {{ :dm:12_dm1_decision_trees_2023_24.pdf | Decision Tree}} | Pedreschi| +
-|21.| 06.12.2023 | 11-13 |C1| Intro Regression & Lab. Regression | {{ :dm:12_dm1_linear_regression_2023_24.pdf | Regression}}, {{ :dm:dm1_lab05_regression.zip | Regression}} | Guidotti| +
-|22.| 11.12.2023 | 11-13 |C1| Into Pattern Mining and Apriori | {{ :dm:13_dm1_pattern_mining_2023_24.pdf | Pattern Mining}} | Pedreschi| +
-|23.| 13.12.2023 | 16-18 |C1| Apriori & Lab. Pattern Mining | {{ :dm:13_dm1_pattern_mining_2023_24.pdf | Pattern Mining}}, {{ :dm:dm1_lab06_pattern_mining.zip | Pattern Mining}}  | Pedreschi| +
-|24.| 18.12.2023 | 11-13 |C| FP-Growth and Exercises | {{ :dm:13_dm1_pattern_mining_2023_24.pdf | Pattern Mining}} | Guidotti|+
 ===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) ===== ===== Second Semester (DM2 - Data Mining: Advanced Topics and Applications) =====
  
 ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^ ^ ^ Day ^ Time ^ Room ^ Topic ^ Material ^ Lecturer ^
 |01.| 19.02.2024 | 14-16 |C| Overview, Rule-based Models | {{ :dm:14_dm2_intro_2023_24.pdf | Introduction}}, {{ :dm:dm2_project_guidelines_23_24.pdf | Guidelines}}, {{ :dm:15_dm2_rule_based_classifier_2023_24.pdf | Rule-based Models }} | Guidotti| |01.| 19.02.2024 | 14-16 |C| Overview, Rule-based Models | {{ :dm:14_dm2_intro_2023_24.pdf | Introduction}}, {{ :dm:dm2_project_guidelines_23_24.pdf | Guidelines}}, {{ :dm:15_dm2_rule_based_classifier_2023_24.pdf | Rule-based Models }} | Guidotti|
-|   | 21.02.2024 |  | | No Lecture |  |  | +
-|   | 26.02.2024 |  | | No Lecture |  |  | +
-|02.| 19.02.2024 | 11-13 |C| Sequential Pattern Mining | {{ :dm:16_dm2_sequential_pattern_mining_2023_24.pdf | Sequential Pattern Mining}}, {{ :dm:GSP.zip | GSP}} | Guidotti| +
-|03.| 04.03.2024 | 9-11 |C| Sequential Pattern Mining | {{ :dm:16_dm2_sequential_pattern_mining_2023_24.pdf | Sequential Pattern Mining}}, {{ :dm:GSP.zip | GSP}} | Guidotti| +
-|04.| 06.03.2024 | 11-13 |C| Transactional Clustering | {{ :dm:17_dm2_transactional_clustering_2023_24.pdf | Transactional Clustering}} | Guidotti| +
-|05.| 11.03.2024 | 9-11 |C| Time Series Similarity | {{ :dm:18_dm2_time_series_similarity_2023_24.pdf | Time Series Similarity}}, {{ :dm:dm2_lab00_spotify.zip | TS_Load}}, {{ :dm:dm2_lab01_dist_transf.zip | TS_Similarity}} | Guidotti| +
-|06.| 13.03.2024 | 11-13 |C| Time Series Approximation | {{ :dm:19_dm2_time_series_clustering_approximation_2023_24.pdf | Time Series Clustering}}, {{ :dm:dm2_lab02_approx_clust.zip | TS_Approx_Clustering}} | Guidotti| +
-|07.| 18.03.2024 | 9-11 |C| Time Series Clustering & Motifs| {{ :dm:20_dm2_time_series_matrix_profile_2023_24.pdf | Time Series Motifs}}, {{ :dm:dm2_lab03_motifs.zip | TS_Motifs}} | Guidotti| +
-|08.| 20.03.2024 | 11-13 |C| Time Series Classification | {{ :dm:21_dm2_time_series_classification_2023_24.pdf | Time Series Classification}}, {{ :dm:dm2_lab04_classification.zip | TS_Classification}} | Guidotti| +
-|09.| 25.03.2024 | 9-11 |C| Imbalanced Learning | {{ :dm:22_dm2_imbalanced_learning_2023_24.pdf | Imbalanced Learning}}, {{ :dm:dm2_lab05_imbalance.zip |ImbLearn}} | Guidotti|  +
-|10.| 27.03.2024 | 11-13 |C| Dimensionality Reduction | {{ :dm:23_dm2_dimred_2023_24.pdf | Dimensionality Reduction}}, {{ :dm:dm2_lab06_dimred.zip |DimRed}} | Guidotti| +
-|11.| 03.04.2024 | 11-13 |C| Outlier Detection | {{ :dm:24_dm2_anomaly_detection_2023_24.pdf | Outlier Detection}} | Guidotti| +
-|12.| 08.04.2024 | 9-11 |C| Outlier Detection | {{ :dm:24_dm2_anomaly_detection_2023_24.pdf | Outlier Detection}}, {{ :dm:dm2_lab07_outlier_det.zip | OutlierDetection}} | Guidotti| +
-|13.| 10.04.2024 | 11-13 |C| Outlier Detection | {{ :dm:24_dm2_anomaly_detection_2023_24.pdf | Outlier Detection}}, {{ :dm:dm2_lab07_outlier_det.zip | OutlierDetection}} | Guidotti| +
-|14.| 15.04.2024 | 14-16 |C| Gradient Descend, MLE | {{ :dm:25_dm2_gradient_descent_2023_24.pdf | GD}}, {{ :dm:26_dm2_maximum_likelihood_estimation_2023_24.pdf | MLE}} | Guidotti| +
-|15.| 17.04.2024 | 11-13 |C| Odds, LogOdds, Logistic Regression| {{ :dm:27_dm2_odds_2023_24.pdf | Odds}}, {{ :dm:28_dm2_logistic_regression_2023_24.pdf | LogReg}}, {{ :dm:dm2_lab08_logistic_reg.zip | LogReg}} | Guidotti| +
-|16.| 22.04.2024 | 9-11 |C| Support Vector Machine | {{ :dm:29_dm2_svm_2023_24.pdf | SVM}}, {{ :dm:dm2_lab09_svm.zip | SVM}} | Guidotti| +
-|17.| 24.04.2024 | 11-13 |C| Perceptron, Neural Networks| {{ :dm:30_dm2_perceptron_2023_24.pdf | Perceptron}} | Guidotti| +
-|18.| 29.04.2024 | 9-11 |C| Deep Neural Networks | {{ :dm:31_dm2_neural_network_2023_24.pdf | Deep Neural Networks}}, {{ :dm:dm2_lab10_neural_networks.zip | NN}} | Guidotti| +
-|19.| 06.05.2024 | 9-11 |C| CNN, RNN, DL-TS, Ensemble Intro | {{ :dm:31_dm2_neural_network_2023_24.pdf |DNN}}, {{ :dm:21_dm2_time_series_classification_2023_24.pdf | TSC-DNN}}, {{ :dm:32_dm2_ensemble_2023_24.pdf | Ensemble}} | Guidotti| +
-|20.| 08.05.2024 | 11-13 |C| Ensemble, Boosting, Adaboost | {{ :dm:32_dm2_ensemble_2023_24.pdf | Ensemble}}, {{ :dm:dm2_lab11_ensamble.zip | LabEnsemble}} | Guidotti| +
-|21.| 13.05.2024 | 9-11 |C| Ensemble-TS, Gradient Boosting | {{ :dm:33_dm2_gradient_boost_2023_24.pdf | Gradient Boosting Machines}}, {{ :dm:dm2_lab11_ensamble.zip | LabEnsemble}}  | Guidotti| +
-|22.| 15.05.2024 | 11-13 |C| Extreme Gradient Bossting | {{ :dm:33_dm2_gradient_boost_2023_24.pdf | Gradient Boosting Machines}}, {{ :dm:dm2_lab11_ensamble.zip | LabEnsemble}} | Guidotti| +
-|23.| 20.05.2024 | 9-11 |C1| eXplainable Artificial Intelligence |  | Guidotti| +
-|24.| 22.05.2024 | 11-13 |C1| eXplainable Artificial Intelligence |  | Guidotti|+
 ====== Exams ====== ====== Exams ======
  
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 ===== Exam Booking Periods ===== ===== Exam Booking Periods =====
   * Exam portal link: [[https://esami.unipi.it/|here]]   * Exam portal link: [[https://esami.unipi.it/|here]]
-  * 1st Appello: from 09/01/2024 to 31/12/2024 +  * 1st Appello: from TBD to TBD 
-  * 2nd Appello: from 01/02/2024 to 17/02/2024 +  * 2nd Appello: from TBD to TBD 
-  * 3rd Appello: from 05/05/2024 to 30/05/2024  +  * 3rd Appello: from TBD to TBD 
-  * 4th Appello: from 02/06/2024 to 27/06/2024  +  * 4th Appello: from TBD to TBD 
-  * 5th Appello: from 19/06/2024 to 14/07/2024  +  * 5th Appello: from TBD to TBD 
-  * 6th Appello: +  * 6th Appello: from TBD to TBD
    
 ===== Exam Booking Agenda ===== ===== Exam Booking Agenda =====
-  * 1st Appello - DM1: https://agende.unipi.it/yra-ief-dmo, DM2: https://agende.unipi.it/rnm-urj-wsu +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. 
-  * 2nd Appello - DM1: https://agende.unipi.it/yra-ief-dmo, DM2: https://agende.unipi.it/rnm-urj-wsu + 
-  * 3rd Appello: - DM1 & DM2: from 04/06/2024 to 07/06/2024 (deliver project by 29/05/2024)  +  * 1st Appello - DM1 & DM2: from TBD to TBD (deliver project by TBD)  
-  * 4th Appello: - DM1 & DM2: from 02/07/2024 to 05/07/2024 (deliver project by 25/06/2024)  +  * 2nd Appello - DM1 & DM2: from TBD to TBD (deliver project by TBD)  
-  * 5th Appello: - DM1 & DM2: from 19/07/2024 to 24/07/2024 (deliver project by 12/06/2024) +  * 3rd Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD)  
-  * 6th Appello: +  * 4th Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD)   
 +  * 5th Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD)  
 +  * 6th Appello: - DM1 & DM2: from TBD to TBD (deliver project by TBD)  
  
 **Do not forget to make the evaluation of the course!!!** **Do not forget to make the evaluation of the course!!!**
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   * **Dataset**   * **Dataset**
-    - Assigned: 25/09/2023 +    - Assigned: 30/09/2024 
-    - MidTerm Submission: 15/11/2023 (+0.5) (half project required, i.e., Data Understanding & Preparation and Clustering) +    - MidTerm Submission: 15/11/2024 (+0.5) (half project required, i.e., Data Understanding & Preparation and Clustering) 
-    - Final Submission: 31/12/2023 (+0.5) one week before the oral exam (complete project required). +    - Final Submission: 31/12/2024 (+0.5) one week before the oral exam (complete project required). 
-    - Dataset: {{ :dm:std.zip | STD}}+    - Dataset: TBD
  
 ** DM1 Project Guidelines ** ** DM1 Project Guidelines **
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     - MidTerm Submission: 07/05/2024 (Modules 1 and 2 (for TS classification non DL-based models))     - 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).     - Final Submission: one week before the oral exam (complete project required, also with DL-based models for TS classification).
-    - Dataset: [[https://unipiit-my.sharepoint.com/:u:/g/personal/a_fedele7_studenti_unipi_it/EUSyNv8ahD9FrBZ6fiF3gvABcYVLpbo1biIyOGy8AmcO5g?e=ziQtEc|STD]]+    - Dataset: TBD
  
 ** DM2 Project Guidelines ** ** DM2 Project Guidelines **
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 ====== Previous years ===== ====== Previous years =====
 +  * [[dm_ds2023-24]]
   * [[dm.2022-23ds]]   * [[dm.2022-23ds]]
   * [[dm.2021-22ds]]   * [[dm.2021-22ds]]
dm/start.1715597511.txt.gz · Ultima modifica: 13/05/2024 alle 10:51 (5 mesi fa) da Riccardo Guidotti
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