Conference on Data Mining and Data Warehouses (SiKDD 2010)

12 October, 2010, Ljubljana, Slovenia

To be held at 12th International Multi-conference on Information Society IS-2010

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 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 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 analysed.

Conference Themes

• Statistical Data Analysis
• Data, Text and Web Mining
• Link Detection and Link Analysis
• Semantic Web
• Data Warehouses

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.

The accepted contributions are 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.

9:30 - 11:00 Machine Learning and Semantic Technologies
	TWO PASS K-MEANS ALGORITHM FOR FINDING SIFT CLUSTERS IN AN IMAGE, Nenad Tomašev, Dunja Mladenic
	MULTI-VIEW CANONICAL CORRELATION ANALYSIS, Jan Rupnik, John Shawe-Taylor
	BUILDING A CONCEPT SHELL: ONTOLOGY POPULATION WITH FACTS FROM WWW, Inna Novalija, Dunja Mladenic
	TOWARDS SEMANTIC DATA MINING WITH g-SEGS, Petra Kralj Novak, Anže Vavpetic, Igor Trajkovski, Nada Lavrac
11:00 - 11:30 Coffee break
11:30 - 12:30 Data Mining Methods and Applications
	OPTIMIZING EMAIL-RELATED PRODUCTIVITY USING CONTEXTIFY, Gregor Leban, Marko Grobelnik
	KNOWLEDGE PROCESS MINING AND OPTIMIZATION, Tadej Štajner, Carolina Fortuna, Dunja Mladenic, Marko Grobelnik
	USING ADVANCED BUSINESS INTELLIGENCE METHODS IN BUSINESS PROCESS MANAGEMENT, Andrej Kocbek, Matjaz B. Juric
12:30 - 13:30 Applications of Data Mining and Machine Learning
	STREAM MINING ON ENVRONMENTAL DATA, Maja Škrjanc, Dunja Mladenic
	USER PROFILING BASED ON MOUSE MOVEMENT, Lorand Dali
	HAND GEOMETRY PERSONAL AUTHENTICATION USING MACHINE LEARNING, Mario Karlovčec
13:30 - 14:00 Lunch break
14:00 - 16:30 IS Conference Opening

Important Dates 

• Submission deadline: 31 August, 2010
• Notification to authors: 10 September, 2010
• Deadline for camera-ready papers: 15 September, 2010

Organization

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

Previous events

• Conference on Data Mining and Data Warehouses (SiKDD 2009)
• Conference on Data Mining and Data Warehouses (SiKDD 2008)
• Conference on Data Mining and Data Warehouses (SiKDD 2007)
• Conference on Data Mining and Data Warehouses (SiKDD 2006)
• Conference on Data Mining and Data Warehouses (SiKDD 2005)
• Conference on Data Mining and Data Warehouses (SiKDD 2004)
• Conference on Data Mining and Data Warehouses (SiKDD 2002)
• Conference on Data Mining and Data Warehouses (SiKDD 2000)

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