dm:mains.santanna.2011-12
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dm:mains.santanna.2011-12 [13/03/2013 alle 23:40 (11 anni fa)]
Fosca Giannotti [Exercise] |
dm:mains.santanna.2011-12 [14/03/2013 alle 15:03 (11 anni fa)] (versione attuale)
Fosca Giannotti [Exercise] Deadline extended |
| ===== Exercise ===== | ===== Exercise ===== |
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| * **Breast Cancer Wisconsin (Diagnostic) Data Set. Assigned on: 07.03.2013. To be completed within: 18.03.2013. Send papers (3 pages max of text, figures excluded) by email to [[pedre@di.unipi.it]] cc: Fosca Giannotti[[fosca.giannotti@gmail.com]]. Use "[DM-MAINS] " in the subject. Groupwork allowed, max 3 people per group, inter-disciplinary competence required in each group!** | * **Breast Cancer Wisconsin (Diagnostic) Data Set. Assigned on: 07.03.2013. To be completed within: 22.03.2013. Send papers (3 pages max of text, figures excluded) by email to [[pedre@di.unipi.it]] cc: Fosca Giannotti[[fosca.giannotti@gmail.com]]. Use "[DM-MAINS] " in the subject. Groupwork allowed, max 3 people per group, inter-disciplinary competence required in each group!** |
| * **Instructions:** Download the {{http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29|Wisconsin Diagnostic Breast Cancer (WDBC) dataset}} from the UCI archive. The dataset contains 569 observations on samples of breast tissue, together with their classification as benign or malignant, as performed by istologists. You are supposed to perform the following tasks: 1) Data understanding and exploratory analysis; 2) clustering analysis (disregarding the class information), including description of the discovered (best) clusters; 3) classification analysis using decision trees for the task of diagnosing a sample as benign or malignant. Describe the process adopted to select the proposed clustering/tree, together with their quality evaluation. | * **Instructions:** Download the {{http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29|Wisconsin Diagnostic Breast Cancer (WDBC) dataset}} from the UCI archive. The dataset contains 569 observations on samples of breast tissue, together with their classification as benign or malignant, as performed by istologists. You are supposed to perform the following tasks: 1) Data understanding and exploratory analysis; 2) clustering analysis (disregarding the class information), including description of the discovered (best) clusters; 3) classification analysis using decision trees for the task of diagnosing a sample as benign or malignant. Describe the process adopted to select the proposed clustering/tree, together with their quality evaluation. |
| ====== Exams ====== | ====== Exams ====== |
dm/mains.santanna.2011-12.1363218001.txt.gz · Ultima modifica: 13/03/2013 alle 23:40 (11 anni fa) da Fosca Giannotti
