---------------------------------------- ----------------------------------------

Conference on Data Mining and Data Warehouses (SiKDD 2009)

16th October, 2009, Ljubljana, Slovenia

---------------------------------------- ----------------------------------------

To be held at 11th International Multi-conference on Information Society IS-2009

Data handling technologies have significantly progressed in the last ten years. The first phases mainly dealing with storing and efficiently accessing the data, resulted in the development of industry delivering tools for handling large databases, standardization of related processes, queering languages, etc. When the data storage was not a primary problem any more the need for improving the database organization resulted in the databases supporting not only transactions but also analytical views of the data. At this point data warehousing with OLAP (On-Line-Analytical-Processing) entered as a usual part of a company information system. The OLAP paradigme stil requires from the user to set well defined questions which is not always easy and possible. This led to the development of Data Mining offering automatic data analysis trying to obtain some new information from the existing data and enabling the user some new insights in the data. Further development of methods for Text Mining enables handling textual data in addition to well structured data in databases. Large amount of data and activities on the Web is further  addressed in Web Mining where in addition to content of the Web documents, the structure of  the Web and Web log-files are analysed.

Conference Themes


Instructions for Authors

Authors are invited to contribute papers that present the state-of-the-art, development goals, applications and future trends in the above mentioned areas.

Authors are invited to submit complete papers not exceeding 4 pages, written in English and formatted following IS-2009 formatting instructions. A sample format in Microsoft Word is available at http://is.ijs.si/primer.doc. The authors should submit the papers by August 31, 2009 preferably in Microsoft Word (or alternatively in.pdf) format by e-mail to: Dunja.Mladenic@ijs.si with "Subject: SiKDD 2009 paper submission".

The accepted contributions will be published on this Web page and in the conference proceedings, which will be made available to participants upon registration.


Conference Program

Presentations of accepted papers.

10:00 - 11:00 Text Mining and Natural Language Processing


  Enrycher : service oriented text enrichment, Tadej Štajner, Delia Rusu, Lorand Dali, Blaž Fortuna, Dunja Mladenic, Marko Grobelnik
  Learning event templates on news articles, Mitja Trampuš, Dunja Mladenic
  Using enumerations for word clustering, Lorand Dali, Nada Lavrac
11:00 - 11:30 Coffee break

11:30 - 12:30 Semantic Technologies and Machine Learning


  Semi-automatic ontology extension using text mining, Inna Novalija, Dunja Mladenic
  Contextualized visualization of ontologies and ontology networks, Boštjan Pajntar, Dunja Mladenic, Marko Grobelnik
  Probabilistic temporal process model for knowledge processes: handling a stream of linked text, Marko Grobelnik, Dunja Mladenic, Jure Ferlež

12:30 - 13:40 Lunch break

13:40 - 15:00 Applications of Data/Text Mining and Machine Learning
  Exploratory analysis of press articles on Kenyan elections: a data mining approach, Senja Pollak
  Text mining and knowledge discovery with ontogen 2.0, Mladen Tomaško
  An implementation of the Pathfinder algorithm for sparse networks and its application on text networks, Anže Vavpetic, Vladimir Batagelj, Vid Podpecan
  Experiments with saturation filtering for noise elimination from labeled data, Borut Sluban, Nada Lavrac, Dragan Gamberger, Andrej Bauer
15:00 - 15:30 Coffee break

Important Dates 



Program Chairs

Marko Grobelnik
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia

Dunja Mladenic
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia

Previous events


Further information on registration, accommodation etc. is available at http://is.ijs.si, and on telephone +386 1 4773 900, or fax. +386 1 4773131

---------------------------------------- ----------------------------------------