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Conference on Data Mining and Data Warehouses (SiKDD 2011)

10 October 2011, Ljubljana, Slovenia

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To be held at the 14th International Multiconference on Information Society IS-2011

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

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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, 2011 preferably in Microsoft Word (or alternatively in.pdf) format by e-mail to: Dunja.Mladenic@ijs.si with "Subject: SiKDD 2011 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.

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Conference Program

Invited talks, presentations of accepted papers and demonstration of developed tools. ----------------------------------------

Conference Program

Presentations of accepted papers @videolectures.net.

9:15 - 11:00 Text Mining and Semantic Technologies

  SEMANTIC ROLE FRAMES GRAPH-BASED MULTIDOCUMENT SUMMARIZATION, Ercan Canhasi, Igor Kononenko
  HIGH-COVERAGE EXTRACTION OF SEMANTIC ASSERTIONS FROM TEXT, Mitja Trampus, Dunja Mladenic
  VISUALIZATIONS OF SLOVENIAN SCIENTIFIC COMMUNITY, Mario Karlovcec, Dunja Mladenic, Marko Grobelnik, Mitja Jermol
  EXPLORING HISTORY THROUGH NEWSPAPER ARCHIVES, Jasna Skrbec, Marko Grobelnik, Blaz Fortuna, Bostjan Pajntar
  FIFTY WAYS TO DETECT A GHOSTWRITER, Katerina Zdravkova
11:00 - 11:30 Coffee break

11:30 - 13:00 Data Mining and Machine Learning Methods

  THE INFLUENCE OF WEIGHTING THE K-OCCURRENCES ON HUBNESS-AWARE CLASSIFICATION METHODS, Nenad Tomasev, Dunja Mladenic
  COMPARISON OF DISTANCES FOR MULTI-LABEL CLASSIFICATION WITH PCTs, Valentin Gjorgjioski, Dragi Kocev, Saso Dzeroski
  EXPLORING THE SPACE OF CODING MATRIX CLASSIFIERS FOR HIERARCHICAL MULTICLASS TEXT CATEGORIZATION, Janez Brank
  ON THE COMPLEMENTARITY OF OLAP AND RICH ASSOCIATIONS MINING, David Chudan, Vojtech Svatek

13:00 - 14:00 Lunch break

14:00 - 15:00 Invited talk

  Are Privacy Advocates Threatening the Future of Science?, Abe Hsuan

15:00 - 15:40 Applications of Data Mining and Machine Learning

  A FRAMEWORK FOR A MULTILINGUAL CONTEXTUAL AND BEHAVIORAL ONLINE ADVERTISING NETWORK: A CASE STUDY, Domen Kosir, Zoran Bosnic, Igor Kononenko
  EXPLORING THE HUBNESS-RELATED PROPERTIES OF OCEANOGRAPHIC SENSOR DATA, Nenad Tomasev, Dunja Mladenic
15:40 - 16:00 Coffee break

11:30 - 13:00 Applications of Data Mining and Machine Learning

  ANALYSIS AND PREDICTION OF BUG DUPLICATES IN KDE BUG TRACKING SYSTEM, Gregor Leban
  WIKImage: CORRELATED IMAGE AND TEXT DATASETS, Doni Pracner, Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic
  NONLINEAR PRINCIPAL COMPONENT ANALYSIS FOR COMPRESSION OF SPECTRAL DATA, S. Farajikhah, F. Madanchi, S. H. Amirshahi
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Important Dates 

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Organization

Program Chairs

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

Dunja Mladenic
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Dunja.Mladenic@ijs.si
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Previous events

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

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