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Conference on Data Mining and Data Warehouses (SiKDD 2016)

October 10th, 2016, Ljubljana, Slovenia

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To be held at the 19th International Multiconference on Information Society IS-2016

Data handling technologies are significantly progressing. 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 and Multimedia Mining enables handling textual, video and audio 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. Structure of interconnected data objects is also in focus of Link Detection and Link Analysis, as for instance in Social Network Analysis.

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 the conference formatting instructions. The authors should submit the papers by August 31, 2016 preferably in Microsoft Word (or alternatively in.pdf) format by e-mail to: Dunja.Mladenic@ijs.si with "Subject: SiKDD 2016 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 will be available at @videolectures.net.

9:30 - 11:00

  Information Flow Between News Articles: Slovene Media Case Study, Jan Choloniewski, Gregor Leban, Sebastijan Macek, Aljosa Rehar
  Big Data Analysis Combining Website Visit Logs with User Segments and Website Content, Matic Kladnik, Blaz Fortuna, Pat Moore
  Visual and Statistical Analysis of VideoLectures.NET, Erik Novak, Inna Novalija
  Data Analytics in Aquaculture, Joao Pita Costa, Matjaz Rihtar
11:00 - 11:30 Coffee break

11:30 - 13:00

  Spatio-temporal Clustering Methods, Matej Senozetnik, Luka Bradesko, Blaz Kazic, Dunja Mladenic, Tine Subic
  Near Real-Time Transportation Mode Detection Based on Accelerometer Readings, Jasna Urbancic, Luka Bradesko, Matej Senozetnik
  Modeling Probability of Default and Credit Limits, Zala Herga, Jan Rupnik, Primoz Skraba, Blaz Fortuna
  Application of Advanced Analytical Techniques in Support of Socio-economic Impact Assessment of Innovation Funding Programmes, Katja Bercic, Gabriella Cattaneo, Mario Karlovcec, Flavio Fuart, Gaber Cerle

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

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