J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Dunja.Mladenic@ijs.si
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 2013 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.
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9:00 - 10:00 Invited talk |
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| The Challenges of Data Cooperatives: Collaboration, Competition, Controversy?, Abe Hsuan, New York, USA | |
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10:00 - 11:00 Semantic Technologies |
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| Applying NLP for building domain ontology: fashion collection, Inna Novalija, Gregor Leban | |
| Call centre knowledge acquisition and decision support prototype, Zala Herga, Luka Bradesko | |
| Semi-automatic rule construction for semantic linking of relation arguments, Janez Starc, Dunja Mladenic | |
| 11:00 - 11:30 Coffee break | |
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11:30 - 13:00 Text/Data Mining and Semantic Technologies |
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| Personalized Query Auto-Completion for News Search, Lorand Dali, Blaz Fortuna, Jan Rupnik | |
| Parameter Estimation for the Latent Dirichlet Allocation, Jaka Speh, Andrej Muhic, Jan Rupnik | |
| Discovering popular events from tweets, Calin Railean, Alexandra Moraru | |
| Usage of the Kalman filter for data cleaning of sensor data, Klemen Kenda, Jasna Skrbec, Maja Skrjanc | |
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13:00 - 14:00 Lunch break |
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14:00 - 15:00 Applications of Text/Data Mining |
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| Event processing in asset management, Maja Skrjanc, Klemen Kenda, Gasper Pintaric | |
| Sensor-based single-user activity recognition, Blaz Kazic, Jan Rupnik | |
| (i)DiversiNews a stream-based, on-line service for diversified news, Mitja Trampus, Flavio Fuart, Jan Bercic, Delia Rusu, Luka Stopar, Tadej Stajner | |
| 15:00 - 15:30 Coffee break | |
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15:30 - 16:10 Data Mining and Machine Learning Technologies |
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| Use of point symmetry based distance for gene expression data clustering, Sriparna Saha, Asif Ekbal, Neha Vinayak | |
| Calculating distance measure for clustering in multi-relational settings, Olegas Niaksu | |
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