Differenze

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

--- tdm:biss09 [12/03/2009 alle 18:54 (16 anni fa)] – Dino Pedreschi
+++ tdm:biss09 [07/04/2009 alle 11:11 (16 anni fa)] (versione attuale) – Dino Pedreschi
@@ Linea 42: / Linea 42: @@
 ====== Students ======
-Aiello	Luca Maria
+  - Aiello	Luca Maria
-Barbierato	Enrico
+  - Barbierato	Enrico
-Bosio	Gianni
+  - Bosio	Gianni
-Camporesi	Ferdinanda
+  - Camporesi	Ferdinanda
-Ferraioli	Diodato
+  - Ferraioli	Diodato
-Ferreira	Rui
+  - Ferreira	Rui
-Halder	Raju
+  - Halder	Raju
-Kreautsevich	Leanid
+  - Kreautsevich	Leanid
-Leonardi	Luca
+  - Leonardi	Luca
-Lutteri	Emiliano
+  - Lutteri	Emiliano
-Madhavamandiram Rajan	Deepak
+  - Madhavamandiram Rajan	Deepak
-Marengo	Elisa
+  - Marengo	Elisa
-Mauro	Jacopo
+  - Mauro	Jacopo
-Mencagli	Gabriele
+  - Mencagli	Gabriele
-Mezzetti	Enrico
+  - Mezzetti	Enrico
-Muratori	Ludovico Antonio
+  - Muratori	Ludovico Antonio
-Nurrachmat	Andi
+  - Nurrachmat	Andi
-Olivieri	Chiara
+  - Olivieri	Chiara
-Ottaviano	Giuseppe
+  - Ottaviano	Giuseppe
-Panisson	André
+  - Panisson	André
-Panozzo	Daniele
+  - Panozzo	Daniele
-Pardini	Luca
+  - Pardini	Luca
-Peroni	Silvio
+  - Peroni	Silvio
-Petrucci	Andrea
+  - Petrucci	Andrea
-Pomponiu	Victor
+  - Pomponiu	Victor
-Porreca	Antonio Enrico
+  - Porreca	Antonio Enrico
-Pozzani	Gabriele
+  - Pozzani	Gabriele
-Puech	Matthias
+  - Puech	Matthias
-Rama	Aureliano
+  - Rama	Aureliano
-Rodolà	Emanuele
+  - Rodolà	Emanuele
-Seraghiti	Andrea
+  - Seraghiti	Andrea
-Spanò	Alvise
+  - Spanò	Alvise
-Sugavam	Swaminathan
+  - Sugavam	Swaminathan
-Tolomei	Gabriele
+  - Tolomei	Gabriele
-Triossi	Andrea
+  - Triossi	Andrea
-Turroni	Francesco
+  - Turroni	Francesco
-Vairo	Claudio Francesco
+  - Vairo	Claudio Francesco
-Valsecchi	Andrea
+  - Valsecchi	Andrea
-Vernero	Fabiana
+  - Vernero	Fabiana
-Vezzi	Francesco
+  - Vezzi	Francesco
-Visconti	Alessia
+  - Visconti	Alessia
-Vitale	Fabio
+  - Vitale	Fabio
-Zaccagnino	Rocco
+  - Zaccagnino	Rocco
-Zanioli	Matteo
+  - 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.