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Conference on Data Mining and Data Warehouses (SiKDD 2014)

October 6th, 2014, Ljubljana, Slovenia

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To be held at the 17th International Multiconference on Information Society IS-2014

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, 2012 preferably in Microsoft Word (or alternatively in.pdf) format by e-mail to: Dunja.Mladenic@ijs.si with "Subject: SiKDD 2014 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.

9:00 - 10:30 Invited talk

  Automatically Labeling Facts in a Never-Ending Langue Learning system, Estevam Rafael Hruschka Junior, Federal University of Sao Carlos, Brazil
10:30 - 10:50 Coffee break

10:50 - 12:30 Text Mining and Semantic Technologies

  A System For Large Scale Data Exploration and Organization, Luis Rei, Blaz Fortuna, Marko Groblenik, Dunja Mladenic
  Towards Social Media Mining: Twitterobservatory, Inna Novalija, Miha Papler, Dunja Mladenic
  TweetViz: Twitter Data Visualization, Dario Stojanovski, Ivica Dimitrovski, Gjorgji Madjarov
  Algorithm For Classification Of Textual Documents Represented By Tandem Analysis, Jasminka Dobša
  A High-Performance Multithreaded Approach For Clustering A Stream Of Documents, Janez Brank, Gregor Leban, Marko Grobelnik

12:30 - 13:30 Lunch break

13:30 - 15:00 Applications of Text/Data Mining

  Consistency And Completeness Of Multiword Expressions During Translation, Katerina Zdravkova, Aleksandar Petrovski, Tomaz Erjavec
  Complex Event Detection And Prediction In Traffic, Blaz Kazic, Dunja Mladenic, Luka Bradesko
  Government Transparency Through Technology, Matej Kovacic, Gaber Cerle
  Mining Demand And Supply Data With Methods Of Economic Statistics, Melita Hajdinjak
  Razsiritev iskalnika z orodji za semanticno iskanje v Slovenski Policiji, Mladen Tomasko, Dunja Mladenic
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 Slovenian KDD Conferences


Further information on registration, accommodation etc. is available at http://is.ijs.si

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