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.
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 2012 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.
Presentations of accepted papers will be available at @videolectures.net.
9:00 - 10:00 Invited talk |
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Sustainability of Social Media: Design, Engagement, and Business Models, Natasa Milic-Frayling, Microsoft Research Cambridge, UK | |
10:00 - 11:00 Text Mining and Semantic Technologies |
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Informal sentiment analysis in multiple domains for English and Spanish, Tadej Stajner, Inna Novalija, Dunja Mladenic | |
Multilingual Document Retrieval Through Hub Languages, Jan Rupnik, Andrej Muhic, Primoz Skraba | |
Identifying Good Patterns For Relation Extraction, Janez Starc, Blaz Fortuna | |
11:00 - 11:30 Coffee break | |
11:30 - 13:00 Text/Data Mining and Machine Learning Methods |
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Internals Of An Aggregated Web News Feed, Mitja Trampus, Blaz Novak | |
NewsSearch: Search And Dynamic Re-ranking Over News Corpora, Luka Stopar, Blaz Fortuna, Marko Grobelnik | |
Visual Divisive Hierarchical Clustering Using k-Means, Matic Perovsek, Nada Lavrac, Bojan Cestnik | |
Are You For Real? Learning Event Factuality In Croatian Texts, Goran Glavas, Jan Snajder, Bojana Dalbelo Basic | |
13:00 - 14:00 Lunch break |
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14:00 - 15:00 Invited talk |
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Social Media Monitoring Tools and Services, Luisa Milic, Ideya Business and Marketing Consultancy, UK | |
15:00 - 15:30 Coffee break | |
15:30 - 17:00 Applications of Text/Data Mining and Machine Learning |
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Narrator: System For Report Generation In Natural Language, Inna Novalija, Marko Grobelnik | |
Searching For Information In Software Development Projects Using The Alert System, Luka Stopar, Gregor Leban | |
Complex Event Processing And Data Mining For Smart Cities, Alexandra Moraru, Dunja Mladenic | |
Evaluating Photo Aesthetics Using Machine Learning, Domen Pogacnik, Robert Ravnik, Narvika Bovcon, Franc Solina |
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
Further information on registration, accommodation etc. is available at http://is.ijs.si