Data handling technologies have significantly progressed in the last ten years. 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 paradigm still 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 Mining enables handling textual 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 analyzed.
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 IS-2008 formatting instructions. A sample format in Microsoft Word is available at http://is.ijs.si/primer.doc. The authors should submit the papers by August 31, 2008 preferably in Microsoft Word (or alternatively in .pdf) format by e-mail to: Dunja.Mladenic@ijs.si with "Subject: SiKDD 2008 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 @videolectures.net.
|
10:00 - 11:30 Algorithms: Text Mining and Natural Language Processing
|
|
| Triplet extraction from sentences using SVM, Lorand Dali, Blaz Fortuna | |
| Semantic graphs derived from triplets with application in document summarization, Delia Rusu, Blaz Fortuna, Marko Grobelnik, Dunja Mladenic | |
| Stochastic subgradient approach for solving linear Support Vector Machines - an overview, Jan Rupnik | |
| 11:00 - 11:30 Coffee break | |
|
11:30 - 12:30 Algorithms: Data Mining and Machine Learning
|
|
| Fuzzy clustering of documents, Matjaz Jursic, Nada Lavrac | |
| A functional programming approach to distance-based Machine Learning, Darko Aleksovski, Martin Erwig, Saso Dzeroski | |
| Optimization as a step in corewar program analysis, evolution and categorization, Nenad Tomasev, Dragan Masulovic | |
|
12:30 - 14:00 Lunch break |
|
| 14:00 - 15:00 Applications of Semantic Technologies and Machine Learning | |
| Extending ontologies for annotating business news, Inna Novalija, Dunja Mladenic | |
| Semantic modeling, translation and matching of QoS, Alexandra Moraru, Blaz Fortuna, Carolina Fortuna | |
| Hierarchical annotation of medical images, Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski | |
| 15:00 - 15:30 Coffee break | |
| 15:30 - 16:30 Applications of Data Mining and Machine Learning | |
| The statistical interpretation of simulated emergency braking event time series data, John C Bullas | |
| Churn prediction model in retail banking using fuzzy c-means clustering, Dzulijana Popovic, Bojana Dalbelo Basic | |
| Time histograms with interactive selection of time unit and dimension, Snezana Savoska, Suzana Loskovska, Vlatko Blazeski | |
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/, and on telephone +386 1 4773 900, or fax. +386 1 4773131