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TDDD41 / 732A31 Data Mining - Clustering and Association Analysis

Timetable


VT1 timetable available at present.

Slides marked with * can still change!


Week 4, 2014 	
	Tue 	Jan 21 	13-15 	lecture1   Course info, Introduction (6 per page, 1 per page) 
                                                                          R43  (Patrick)

	Wed 	Jan 22 	10-12 	lecture2    Clustering-1                  S18  (Patrick)   
                all clustering slides (6 per page, 1 per page), research example      


Week 5, 2014

	Tue 	Jan 28 	13-15 	lecture3    Clustering-2                  U14  (Patrick)   
 
	Wed 	Jan 29 	10-12 	lecture4    Clustering-3                  R43  (Patrick)


Week 6, 2014


        Wed 	Feb 5   10-12 	lecture5   Clustering-4                   U15  (Patrick)


Week 7, 2014
 
 
        Wed 	Feb 12  10-12 	lab                                      SU10-11 (Zlatan)


Week 8, 2014


 	Mon 	Feb 17 	 8-10 	lecture6   Association analysis-1 (ppt)   S26  (Jose)
        
	Fri 	Feb 21	 8-10 	lecture7   Association analysis-2 (ppt)   U6 (Jose)

Week 9, 2014


	Mon 	Feb 24 	 8-10 	lecture8   Association analysis-3 (ppt)   U3 (Jose)

	Tue 	Feb 25 	17-19 	lab                                       SU10-11 (Zlatan)

	Fri 	Feb 28 	 8-10 	lecture9   Association analysis-4* (ppt)   P44  (Jose)
 

Week 10, 2014

	Tue 	Mar 4 	13-15 	lab                                       SU04, SU06 (Zlatan)


Week 11, 2014

	Mon 	Mar 10 	 8-10 	lab                                       SU10-11 (Zlatan)





	to be decided  	jour                   office Patrick/Jose



FOR 732A31 ONLY:



Week 13, 2014

	Fri 	Mar 28    13-14   introduction to second part  room

Week 17, 2014

	Fri 	Apr  25    deadline for handing in presentation proposals
	Fri 	Apr  25    deadline for handing in project proposals


Week 19, 2014

	Fri 	May  9 	   deadline for approval of project proposals



Week 21, 2014

	Thu 	May 22 	 9-16  student presentations

Presentations:
  • 9:00-9:25, 9:25-9:50, 10:00-10:25: Henrik, Jithu, Sowmya: social network analysis
  • 10:25-10:50: Isak: applications of association rule mining
  • 11:00-11:25: Yonglin: semi-supervised learning / semi-structured data
  • 11:25-11:50: Roger: model-based clustering
  • 13:10-13:35: Andreea: fuzzy association analysis
  • 13:35-14:00: Martin: outlier analysis
Week 24, 2014 Sun June 15 deadline for handing in project reports Projects (all supervised by patrick):
  • Andreea: Board game personalities
  • Henrik: Starcraft
  • Isak: Clustering and association analysis of NHL players
  • Jithu: Sentiment classification
  • Martin: Clustering and association analysis of NBA player data
  • Roger: Document clustering
  • Sowmya: Comparison of Supervised, Unsupervised and Sub-pixel classification approaches
    implemented on satellite images
  • Yonglin: Predict the user behaviour via the real dataset from Alibaba.com

Page responsible: Patrick Lambrix
Last updated: 2014-05-13