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--- tdm:biss09 [12/03/2009 alle 18:56 (16 anni fa)] – Dino Pedreschi
+++ tdm:biss09 [07/04/2009 alle 11:11 (16 anni fa)] (versione attuale) – Dino Pedreschi
@@ Linea 86: / Linea 86: @@
   - Zaccagnino	Rocco
   - Zanioli	Matteo
+====== Exams ======
+The exam for this course consists of a term paper, reporting
+  * a reasoned survey on a specific area of data mining research, or
+  * a project consisting either in the analytical experiment over a challenging dataset, or in the development of a data mining algorithm.
+The exam can be conducted in teams, and should be preferably close to the research interest of the candidate, exploiting the interdisciplinary nature of data mining and knowledge discovery.
+The students willing to give the exam should send an email with subject [BISS09] to the instructor, specifying the chosen subject for the work, and the list of participants in the team. Once negotiated with the instructor, the assigned teamwork will be inserted in this wiki, were also the final report wil be published (in pdf format). The exam must be completed within 2009.
+----
+**Project assignments**
+  - Rocco Zaccagnino, Diodato Ferraioli (UniSA). Data Mining and Computer Music. Analisi (armonica, melodica e ritmica) di composizioni musicali, mediante l'estrazione di informazioni significative. Survey.
+  - Emanuele Rodolà, Andrea Seraghiti, Andrea Petrucci (UniVE, UniVR). Application of LOF Method for Detecting Outliers in Range Scanner Datasets. Project.
+  - Silvio Peroni (UniBO). Web page categorization via clustering. Project.
+  - Gabriele Pozzani (UniVR). Spatio-temporal data mining. Survey.
+  - Francesco Vezzi (UniUD). Data mining for bioinformatics. Survey.
+  - Raju Halder, Luca Leonardi, Andrea Triossi, Matteo Zanioli. Feature detection in real-time frame-rate applications. Project.
+  - Enrico Barbierato (UniTO). Implementazione di classificatore Naive Bayes / Bayesian Networks. Project.
+  - Andrea Valsecchi, Antonio Enrico Porreca. Anti-spam filter based on Naive Bayes classification. Project.
+  - Daniele Panozzo, Chiara Olivieri. Recent development in clustering techniques: Spectral and Kernel-Based Methods. Survey / project.
+  - Francesco Turroni, Enrico Mezzetti, Jacopo Mauro, Ludovico Antonio Muratori. Multiclass text categorization with Support Vector Machines. Project.