Databases & Data Mining

Autumn 2018

(Under Construction! --- Last updated: 21-11-2018: Data Mining Assignment 1 available)

 

Organizer:  Prof.dr. S. Manegold, Dr Erwin M Bakker

Assistant:  To be announced.

                                        

"Registration":Please send an email
To:s.manegold@liacs.leidenuniv.nl
Subject:[DBDM-2018] Registration
containing the following information:
  • Your full name
  • Your email address
  • Your student ID
  • Your affiliation (university)
  • Your program / subject
By Sunday 16 September 2018, 23:59 CEST.

Period: September 11th - December 04th  2018

Day:     Tuesday

Time:   15.30 - 17.15

Place:   Room 312, LIACS, Snellius building, Niels Bohrweg 1, 2333 CA Leiden

 

ECTS:  6

 

Description: The course Databases & Data Mining consists of a series of lectures in which advanced database and data mining techniques will be discussed, with applications to bioinformatics.

 

Grading:

There will be a total of 4 database- and data mining assignments and a final exam (open book). The final grade will be based on a weighted average of the grades obtained for assignments P1, P2, P3, P4 and the Exam (E >5): Final Grade = (0.5*P1 + P2 + 0.5*P3 + P4 + 3*E)/6.

 

Schedule: (planned)

 
Date Room Subject (tentative) Slides
Part I: Data Management (S. Manegold)
04-09 no lecture (introductory week at TU Delft)
11-09 312 Introduction view / print
18-09 312 Database Technology
MonetDB (1/2)		 view / print
view / print
25-09 312 MonetDB (2/2)
02-10 312 Workload-Adaptive Indexing view / print
09-10 no class
16-10 312 Data Warehousing and OLAP view / print   |   book chapter
23-10 312 Data Cube Technology view / print   |   book chapter
Part II: Data Mining (E. Bakker)
30-10 312 Data Mining Basic Algorithms I  slides
06-11 312 Data Mining Basic Algorithms II slides
13-11 312 no class no class
20-11 312 Advanced Data Mining Algorithms slides
27-11 312 Mining in Bio-Data  
04-12 312 Graph Mining I  
11-12 312 Graph Mining II  

 

Note: Slides will be made available after the lectures.

 

Assignments:

 

Here new assignments will be available. Announcements will be made during class. For questions about the assignments please contact the teaching assistant

Exam:

  • Please note, it is an open book exam, you can take with you your book, and printed course notes (slides). No electronic equipment is allowed though.

  • Materials to be studied:

    • All contents covered and discussed during lectures (see links to all slides in the schedule).

  • References:

    • For background information on the study material see references mentioned in the slides, "Recommended reading" below, and Chapters 2 - 7 of the book J. Han et al. Data Mining Concepts and Techniques.

  • Date: Monday, January 7, 2019

  • Time: 14:00 - 17:00

  • Place: Room F104, Van Steenisgebouw, Einsteinweg 2, 2333 CC Leiden

  • Exam example questions: 2014, 2015, 2016, 2017

Retake Exam (Last opportunity this year!):

  • Date: Monday, January 28, 2019

  • Time: 14:00 - 17:00

  • Place: Room 174, Snellius building, Niels Bohrweg 1, 2333 CA Leiden

  • Exam example questions: 2014, 2015, 2016, 2017

 

Recommended reading:

 

Links: