Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology

Informaatiotekniikan laboratorio > Opetus > T-61.5060 > Harjoitystyö 2005

Exercise work 2005

To pass the course you must pass the examination and complete this exercise work.

To complete the exercise work you may need information that has not been discussed in the lectures. If you have any questions please do not hesitate to contact the assistant or the lecturer for hints, guidance or references.

The exercise work will be graded rejected or passed. A passed exercise work will be valid for one year after the original deadline.

If you want to get a grade at the same time as the 14 December examination results you should also submit the exercise work by 14 December 2005. Exercise works submitted after 14 December 2005 will be graded within a month after the 16 January 2006 deadline (and you'll pass the course after you have both examination and the exercise work done). The grading will be announced at (the blue binder at) the notice board, and by an email to an address of the form, where 12345X is your student number.

General requirements

  1. The exercise work should be completed by one person. However, discussing it with others is encouraged.
  2. You have to submit a report in which you describe the work that you have done and your conclusions.
  3. The reports must be received by the examiner on 16 January 2006, at latest. The reports received after the deadline will be rejected. If you have a very good reason that causes you to miss the deadline you can request an extension. The extension must be requested at least one office day before the deadline.
  4. To pass the exercise work you must fulfill the requirements given in the "specific requirements" section.
  5. If you submit the exercise work report in time and you have honestly tried to satisfy the requirements (for example, your submission is not essentially empty), but don't pass, you will be given instructions and a new deadline on how to supplement your work after the original deadline.
  6. Accepted languages are Finnish, Swedish and English.
  7. There are no strict formatting rules, nor preferred typesetting or word processing system. However, reports formatted in a way that the number of words in the report is significantly affected (for example, with unusually large or small font) will be rejected. A baseline is given by default LaTeX article class with a4paper and 12pt options, which corresponds roughly to 500 words per page (sample LaTeX file, PDF file; LaTeX guide).
  8. Portions of the submission that are not part of these requirements will be ignored in grading. For example, full program source codes or demo applications should not be included in the submission (even if completing the exercise work would require some programming), unless source code or demo application is specifically asked for by the requirements.
  9. Each exercise work report should contain a section that comments on the difficulty of the project and an estimate of the time used for completing it.
  10. The exercise work reports should be submitted by email ( in PDF format. If PDF or email submission is not possible you can submit a printed copy by (internal) mail (Kai Puolamäki, PL 5400, 02015 TKK). The exercise work reports should contain your name, email address and full student number. If you submit your work by email, please include the student number also to the subject line.

Specific requirements

Write 3-5 page summary of one of the following papers from the KDD'05 conference:

  1. Qiaozhu Mei, ChengXiang Zhai. Discovering evolutionary theme patterns from text: an exploration of temporal text mining (PDF from the author's site)
  2. Jure Leskovec, Jon Kleinberg, Christos Faloutsos. Graphs over time: densification laws, shrinking diameters and possible explanations (PDF from the author's site, recipient of the Best Research Paper Award)
  3. Martin Scholz. Sampling-based sequential subgroup mining
  4. Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin. Summarizing itemset patterns: a profile-based approach (PDF from the author's site, Student Paper Award, Runner-up)

The PDF download from the ACM links may be restricted to the University network. However, you can find a PDF of most articles also by typing in the article title to Google Scholar.

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