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 Important! If you plan to take 2ID95 in
Autumn 2011 please register to the course sending an e-mail to 2ID95.lecturers@gmail.com; you
will be added to the course mailing list and get access to a shared Dropbox
folder where course material will be located. (2ID95_Fall2011 Google group or
2ID95.students@gmail.com)
We need
to have a good estimate of participants to organize the seminar in the best
way so please register asap. If you have a topic or
assignment description for your master project already please let us know about
this as well.
Course
organization
This
seminar is organized by the expertise group on Databases and Hypermedia.
Lecturers: Mykola Pechenizkiy and Toon Calders
Program: BIS, CSE, ES
Course
Info: OWInfo
Overview
This seminar focuses on studying selected topics and the current state of the
art in the areas of data mining, information retrieval, adaptive systems, and
recommender systems as well as their various cross-roads. The topics may
include (but are not limited to) different aspects of personalization and adaptation in IS, user modeling,
privacy-preservation, domain knowledge integration, ontologies and semantic
web, development of generic
frameworks and approaches, handling
streaming data, and developing
specialized applications.
A
detailed list of recommended titles and reading material will be made
available during the course.
Please notice that this seminar series first of all is aimed to help master
level students in preparation for their graduation projects. Therefore, a
reasonable degree of freedom will be given in the selection of topics and
assignments.
The students taking this seminar are expected:
- to provide an overview (with
a focus on research questions) of the important research papers in these
areas,
- to study common underlying
techniques and research methods,
- to find/identify potential
research projects, and
- to conduct experiments (or
develop a framework; depends on a selected topic/assignment) and report
the findings
- to present and defend the
obtained results.
Deliverables
Two reports:
·
Intermediate literature analysis and problem
description report,
·
Final report that includes literature analysis,
description of research question(s), proposed approach and obtained results. Depending on the type of the project you
may need to enclose different appendixes including data, software, results
and alike.
Each
student (or a group of 2 students in case of many participants) will make
correspondingly two presentations:
·
Intermediate about the literature analysis and
problem formulation, and
·
Final about the research question(s),
approach and obtained results.
Format
and Participation
·
Introduction
to selected areas, topics, problem formulation by the responsible lecturers,
other staff members of DH group and guest lecturers.
·
Student
presentations followed by discussions moderated by the responsible lecturer.
The
schedule will be fixed shortly after the first meeting on Thursday (15:45 –
17:30), 8 September 2011 in laplace-gebouw -1.19.
Tentative schedule
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8 Sep 2010
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Introductory meeting (Mykola Pechenizkiy and Toon Calders)
Overview of possible assignments within the group and
externally with companies (Teezir, Adversitement, C-Content, Philips Research)
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15 Sep 2011
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MISS: Mining Social Structures from Genealogical Data (Toon Calders)
Compass: Complex
Patterns in Streams (Toon Calders)
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22 Sep 2011
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CoDaK: Co-evolving Document collections
& Knowledge structures (Wouter Bosma)
Challenges in RDF query processing (George Fletcher and Yongming Luo)
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29 Sep 2011
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Automated
Internet based tracking of the toy/gadget product market: is it possible?
(Koen Holtman, Philips Research)
Some open problems in web data management (George
Fletcher)
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6 Oct 2011
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Context-aware predictive analytics (Mykola Pechenizkiy)
Learning the effect of marketing actions (Mykola
Pechenizkiy or Indre Zliobaite)
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13 Oct 2011
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Stress@work: Linking sensor data
with activity events and sentiment data (Mykola Pechenizkiy)
Handling Concept Drift in the Wild (Jorn
Bakker)
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20 Oct 2011
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Adaptive adaptation: towards the intuitive learning
environment? (Paul De Bra)
Challenges in Data-Driven Decision Making with Web
Analytics (Guido Budziak)
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27 Oct 2011
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How to write a good MSc thesis and get a high grade
(Mykola Pechenizkiy and Toon Calders)
Question answering sessions
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17 Nov 2011
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Midterm presentations of research topics by students
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24 Nov 2011
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Midterm presentations of research topics by students
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12 Jan 2011
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Final presentations of project results by students
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19 Jan 2011
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All grades are sent to the administration
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