Differenze

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

--- digitalhealth:0001a [07/10/2025 alle 14:31 (3 settimane fa)] – [First Semester] Anna Monreale
+++ digitalhealth:0001a [27/10/2025 alle 14:40 (41 ore fa)] (versione attuale) – [First Semester] Anna Monreale
@@ Linea 80: / Linea 80: @@
 |  |  03.10  | Strike | | | Naretto|
 |5.  |  06.10  | Project Presentation + Data Understanding and Preparation for TD  |{{ :digitalhealth:PIMA-DU.zip | Zip file for DU e DP for TD}} {{ :digitalhealth:Integrazione.zip | Zip file for Python}}| | Naretto|
-|6.  |  07.10  | Clustering: intro and k-means |{{ :digitalhealth:6-basic_cluster_analysis-intro.pdf | Intro clustering}} {{ :digitalhealth:6_basic_cluster_analysis-kmeans.pdf | kmeans}}| Cap. 7 Kumar's book| Naretto|
+|6.  |  07.10  | Clustering: intro and k-means |{{ :digitalhealth:6-basic_cluster_analysis-intro.pdf | Intro clustering}} {{ :digitalhealth:6-basic_cluster_analysis-kmeans.pdf | kmeans}}| Chapter 7, Introduction to Data Mining, 2nd Edition by Tan, Steinbach, Karpatne, Kumar	| Naretto|
-|7.  |  08.10 Room I | Python Lab: Data Understanding and Preparation for Images and Time Series  | | | Naretto|
+|7.  |  08.10 Room I | Clustering: hierarchical and db-scan  | {{ :digitalhealth:7.basic_cluster_analysis-hierarchical.pdf | hierarchical}} {{:digitalhealth:10-basic_cluster_analysis-dbscan.pdf | DB-scan}}| Chapter 7, Introduction to Data Mining, 2nd Edition by Tan, Steinbach, Karpatne, Kumar	| Naretto|
-|  | 10.10 | suspension of teaching activities | | | |
+|     | 10.10 | suspension of teaching activities | | | |
-|8.| 13.10 | Intro Clustering. Centroid-based clusteting | | | Monreale |
+|8.   | 13.10 | Density-based clusering + Clustering Validity | {{ :digitalhealth:12-basic_cluster_analysis-validity.pdf |}}| Chapter 7, Introduction to Data Mining, 2nd Edition by Tan, Steinbach, Karpatne, Kumar	 |Naretto |
-|9.| 14.10 |Density-based clusering + Clustering Validity | | | Monreale |
+|     | 14.10 | Canceled: No Lecture| | | |
-|10.| 17.10 |Python Lab: K-means + DBScan| | | Monreale |
+|9.   | 17.10 | Clustering Validity + Data Warehouse | {{ :digitalhealth:6-dw.pdf |}} | | Monreale |
-|   | 20.10 | Canceled: this lecture will be recovered on 22.10| | | |
+|10.  | 20.10 | Data Warehouse| {{ :digitalhealth:6-dw.pdf |}}|Chapter 7, Introduction to Data Mining, 2nd Edition by Tan, Steinbach, Karpatne, Kumar	 +  | Monreale|
-|   | 21.10 | Canceled: this lecture will be recovered on December | | | |
+|11.  | 21.10 | Data Warehouse + PowerBI Demo|Same Slides of the previous lecture | | Monreale|
-|11.  | 22.10 Room TBD| Hierarchical Clustering + k-means variants + Lab. Python | | | |
+|12.  | 22.10 Room Lab I| Pre-processing for Image | {{ :digitalhealth:2.1-data-understanding_images.pdf |}}| | Naretto|
-|12.  | 24.10 | Lab for Project Work | | | |
+|13.  | 24.10 |Python Lab: Clustering | {{ :digitalhealth:clustering_diabetes.zip}} | |Naretto |
-|13.  | 27.10 |Clustering and similarity for Image  | | | |
+|14.  | 27.10 | Pre-processing for Image | {{ :digitalhealth:2.1-data-understanding_images.pdf |}} |Digital Image processing (Gonzales, Woods) | |
-|14.  | 28.10 |Clustering and similarity for Time Series | | | |
+|15.  | 28.10 | | | | |
-|15.  | 31.10 |Python Lab:Clustering Images, Time Series | | | |
+|16.  | 31.10 | | | | |
-|16.  | 03.11 | | | | |
+|17.  | 03.11 | | | | |
-|17.  | 04.11 | | | | |
+|18.  | 04.11 | | | | |
-|18.  | 07.11 | | | | |
+|19.  | 07.11 | | | | |
-|19.  | 10.11 | | | | |
+|20.  | 10.11 | | | | |
-|20.  | 11.11 | | | | |
+|21.  | 11.11 | | | | |
-|21.  | 14.11 | | | | |
+|22.  | 14.11 | | | | |
-|22.  | 17.11 | | | | |
+|23.  | 17.11 | | | | |
-|23.  | 18.11 | | | | |
+|24.  | 18.11 | | | | |
-|24.  | 21.11 | | | | |
+|25.  | 21.11 | | | | |
-|25.  | 24.11 | | | | |
+|26.  | 24.11 | | | | |
-|26.  | 25.11 | | | | |
+|27.  | 25.11 | | | | |
-|27.  | 28.11 | | | | |
+|28.  | 28.11 | | | | |
-|28.  | 01.12 | | | | |
+|29.  | 01.12 | | | | |
-|29.  | 02.12 | | | | |
+|30.  | 02.12 | | | | |
-|30.  | 05.12 | | | | |
+|31.  | 05.12 | | | | |
-|31.  | 09.12 | | | | |
+|32.  | 09.12 | | | | |
-|32.  | 12.12 | | | | |
+|33.  | 12.12 | | | | |
-|33.  | 15.12 | | | | |
+|34.  | 15.12 | | | | |
-|34.  | 16.12 | | | | |
+|35.  | 16.12 | | | | |
-|35.  | 19.12 | | | | |
+|36.  | 19.12 | | | | |