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--- tdm:biss09 [08/03/2009 alle 13:25 (16 anni fa)] – Dino Pedreschi
+++ tdm:biss09 [07/04/2009 alle 11:11 (16 anni fa)] (versione attuale) – Dino Pedreschi
@@ Linea 9: / Linea 9: @@
   * Co-author of the course: **Fosca Giannotti** (KDD LAB, ISTI-CNR, Pisa)  [[fosca.giannotti@isti.cnr.it]]
-  * Acknowledgements to colleagues **Mirco Nanni** (KDDLAB, ISTI-CNR, Pisa) and **Francesco Bonchi** (Yahoo! Research, Barcelona)
+  * Acknowledgements to colleagues **Vipin Kumar** (University of Minnesota), **Jiawei Han** (Univ. of Illinois at Urbana-Champaign), **Mirco Nanni** (KDDLAB, ISTI-CNR, Pisa), **Francesco Bonchi** (Yahoo! Research, Barcelona)
 ====== Summary ======
@@ Linea 20: / Linea 21: @@
 Jiawei Han and Micheline Kamber. [[http://www.cs.uiuc.edu/homes/hanj/bk2/|Data Mining: Concepts and Techniques]], 2nd ed. Morgan Kaufmann Publishers, 2006. (slides downloadable)
+Xindong Wu et al. [[http://www.cs.uvm.edu/~icdm/algorithms/10Algorithms-08.pdf | Top 10 algorithms in data mining]]. Knowledge and Information Systems (2008) 14:1–37.
 ====== Lecture slides ======
@@ Linea 33: / Linea 38: @@
   * Privacy-preserving data mining {{:tdm:2._privacypreservingtechnologies_pedreschi_.pdf| Giannotti Pedreschi short tutorial}} {{:tdm:tutorialpakdd07-giannottipedreschi.pdf| Giannotti Pedreschi long tutorial}}
   * Graph mining and complex network analysis {{:tdm:wma.sna.pedreschi.1.pdf| Pedreschi 1}} {{:tdm:wma.sna.pedreschi.2.pdf| Pedreschi 2}} {{:tdm:wma.sna.pedreschi.3.pdf| Pedreschi 3}} {{:tdm:wma.sna.pedreschi.4.pdf| Pedreschi 4}}
+====== Students ======
+  - Aiello	Luca Maria
+  - Barbierato	Enrico
+  - Bosio	Gianni
+  - Camporesi	Ferdinanda
+  - Ferraioli	Diodato
+  - Ferreira	Rui
+  - Halder	Raju
+  - Kreautsevich	Leanid
+  - Leonardi	Luca
+  - Lutteri	Emiliano
+  - Madhavamandiram Rajan	Deepak
+  - Marengo	Elisa
+  - Mauro	Jacopo
+  - Mencagli	Gabriele
+  - Mezzetti	Enrico
+  - Muratori	Ludovico Antonio
+  - Nurrachmat	Andi
+  - Olivieri	Chiara
+  - Ottaviano	Giuseppe
+  - Panisson	André
+  - Panozzo	Daniele
+  - Pardini	Luca
+  - Peroni	Silvio
+  - Petrucci	Andrea
+  - Pomponiu	Victor
+  - Porreca	Antonio Enrico
+  - Pozzani	Gabriele
+  - Puech	Matthias
+  - Rama	Aureliano
+  - Rodolà	Emanuele
+  - Seraghiti	Andrea
+  - Spanò	Alvise
+  - Sugavam	Swaminathan
+  - Tolomei	Gabriele
+  - Triossi	Andrea
+  - Turroni	Francesco
+  - Vairo	Claudio Francesco
+  - Valsecchi	Andrea
+  - Vernero	Fabiana
+  - Vezzi	Francesco
+  - Visconti	Alessia
+  - Vitale	Fabio
+  - 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.