Conference on Data Mining and Data Warehouses (SiKDD 2011)
10 October 2011, Ljubljana, Slovenia
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
- Statistical Data Analysis
- Data, Text, Web and Multimedia Mining
- Link Detection and Link Analysis
- Stream Mining
- Semantic Technologies
- Sensor Networks
- 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.
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.
Conference Program
Invited talks, presentations of accepted papers and demonstration of developed tools.
Conference Program
Presentations of accepted papers @videolectures.net.
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9:15 - 11:00
Text Mining and Semantic Technologies
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SEMANTIC ROLE FRAMES GRAPH-BASED MULTIDOCUMENT SUMMARIZATION,
Ercan Canhasi, Igor Kononenko
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HIGH-COVERAGE EXTRACTION OF SEMANTIC ASSERTIONS FROM TEXT,
Mitja Trampus, Dunja Mladenic
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VISUALIZATIONS OF SLOVENIAN SCIENTIFIC COMMUNITY,
Mario Karlovcec, Dunja Mladenic, Marko Grobelnik, Mitja Jermol
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EXPLORING HISTORY THROUGH NEWSPAPER ARCHIVES,
Jasna Skrbec, Marko Grobelnik, Blaz Fortuna, Bostjan Pajntar
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FIFTY WAYS TO DETECT A GHOSTWRITER,
Katerina Zdravkova
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11:00 - 11:30 Coffee break |
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11:30 - 13:00
Data Mining and Machine Learning Methods
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THE INFLUENCE OF WEIGHTING THE K-OCCURRENCES ON HUBNESS-AWARE CLASSIFICATION METHODS,
Nenad Tomasev, Dunja Mladenic
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COMPARISON OF DISTANCES FOR MULTI-LABEL CLASSIFICATION WITH PCTs,
Valentin Gjorgjioski, Dragi Kocev, Saso Dzeroski
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EXPLORING THE SPACE OF CODING MATRIX CLASSIFIERS FOR HIERARCHICAL MULTICLASS TEXT CATEGORIZATION,
Janez Brank
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ON THE COMPLEMENTARITY OF OLAP AND RICH ASSOCIATIONS MINING,
David Chudan, Vojtech Svatek
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13:00 - 14:00 Lunch break |
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14:00 - 15:00
Invited talk
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Are Privacy Advocates Threatening the Future of Science?,
Abe Hsuan
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15:00 - 15:40
Applications of Data Mining and Machine Learning
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A FRAMEWORK FOR A MULTILINGUAL CONTEXTUAL AND BEHAVIORAL ONLINE ADVERTISING NETWORK: A CASE STUDY,
Domen Kosir, Zoran Bosnic, Igor Kononenko
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EXPLORING THE HUBNESS-RELATED PROPERTIES OF OCEANOGRAPHIC SENSOR DATA,
Nenad Tomasev, Dunja Mladenic
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15:40 - 16:00 Coffee break |
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11:30 - 13:00
Applications of Data Mining and Machine Learning
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ANALYSIS AND PREDICTION OF BUG DUPLICATES IN KDE BUG TRACKING SYSTEM,
Gregor Leban
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WIKImage: CORRELATED IMAGE AND TEXT DATASETS,
Doni Pracner, Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic
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NONLINEAR PRINCIPAL COMPONENT ANALYSIS FOR COMPRESSION OF SPECTRAL DATA,
S. Farajikhah, F. Madanchi, S. H. Amirshahi
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Important Dates
- Submission deadline: 31 August, 2011
- Notification to authors: 10 September, 2011
- Deadline for camera-ready papers: 15 September, 2011
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
Previous events
- Conference on Data Mining and Data Warehouses (SiKDD 2010)
- 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