Michal Skubacz

Publication Activity (10 Years)

Years Active: 2000-2008
Publications (10 Years): 0

Publications

Maximilian Viermetz, Michal Skubacz, Cai-Nicolas Ziegler, Dietmar Seipel
Tracking Topic Evolution in News Environments. CEC/EEE (2008)
Cai-Nicolas Ziegler, Michal Skubacz, Maximilian Viermetz
Mining and Exploring Unstructured Customer Feedback Data Using Language Models and Treemap Visualizations. Web Intelligence (2008)
Cai-Nicolas Ziegler, Michal Skubacz
Content Extraction from News Pages Using Particle Swarm Optimization on Linguistic and Structural Features. Web Intelligence (2007)
Maximilian Viermetz, Michal Skubacz
Using Topic Discovery to Segment Large Communication Graphs for Social Network Analysis. Web Intelligence (2007)
Bettina Hoser, Jan Schröder, Andreas Geyer-Schulz, Maximilian Viermetz, Michal Skubacz
Topic Trend Detection in Newsgroups. Künstliche Intell. 21 (3) (2007)
Cai-Nicolas Ziegler, Michal Skubacz
Towards Automated Reputation and Brand Monitoring on the Web. Web Intelligence (2006)
Maximilian Viermetz, Carsten Stolz, Vassil Gedov, Michal Skubacz
Relevance and Impact of Tabbed Browsing Behavior on Web Usage Mining. Web Intelligence (2006)
Carsten Stolz, Maximilian Viermetz, Michal Skubacz, Ralph Neuneier
Improving Semantic Consistency of Web Sites by Quantifying User Intent. ICWE (2005)
Michael N. Barth, Michal Skubacz, Carsten Stolz
Web Performance Indicator by Implicit User Feedback - Application and Formal Approach. WISE (2005)
Carsten Stolz, Maximilian Viermetz, Michal Skubacz, Ralph Neuneier
Guidance Performance Indicator - Web Metrics for Information Driven Web Sites. Web Intelligence (2005)
Vassil Gedov, Carsten Stolz, Ralph Neuneier, Michal Skubacz, Dietmar Seipel
Matching web site structure and content. WWW (Alternate Track Papers & Posters) (2004)
Carsten Stolz, Vassil Gedov, Kai Yu, Ralph Neuneier, Michal Skubacz
Measuring Semantic Relations of Web Sites by Clustering of Local Context. ICWE (2004)
Michal Skubacz, Jaakko Hollmén
Quantization of Continuous Input Variables for Binary Classification. IDEAL (2000)