Using Text Mining and Link Analysis for Software Mining (2008)
Miha Grcar, Marko Grobelnik, Dunja Mladenic
Abstract. Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current...
Improving morphosyntactic tagging of Slovene language through meta-tagging (2008)
Rupnik, Jan, Grcar, Miha, Erjavec, Tomaz
Part-of-speech (PoS) or, better, morphosyntactic tagging is the process of assigning morphosyntactic categories to words in a text, an important pre-processing step for most human language technology...
User profiling for the web (2007)
Grcar, Miha, Mladenić, Dunja, Grobelnik, Marko
This paper addresses a problem of personalized information delivery related to the Web, that is based on user profiling. Different approaches to user profiling have been developed. When the user...
EXPLORATORY ANALISYSIS OF THE ILPnet2 SOCIAL NETWORK (2007)
Sabo, Sergeja, Grcar, Miha, Fabjan, David, Ljubic, Peter, Lavrac, Nada
In this paper we present techniques for social network analysis and interpret the results of the analysis of the ILPnet2 scientific publications database. The analysis was performed with the Pajek...
Using text mining and link analysis for software (2007)
Grcar, Miha, Grobelnik, Marko, Mladenić, Dunja
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current state-of-the-art...
Abstract. This paper presents an approach for automating semantic annotation within service-oriented architectures that provide interfaces to databases of spatial-information objects. The automation...
User profiling for interest-focused browsing history (2005)
Grcar, Miha, Mladenić, Dunja, Grobelnik, Marko
User profiling is an important part of the Semantic Web as it integrates the user into the concept of Web data with machine-readable semantics. In this paper, user profiling is presented as a way of...
Next Generation Knowledge Access (2005)
Davies, John, Duke, Alistair, Kings, Nick, Mladenić, Dunja, Bontcheva, Kalina, Grcar, Miha, ...
Purpose The paper shows how access to knowledge can be enhanced by using a set of innovative approaches and technologies based upon the Semantic Web. Approach Emerging trends in knowledge access are...
kNN Versus SVM in the Collaborative Filtering Framework (2005)
Grcar, Miha, Fortuna, Blaz, Mladenić, Dunja
We present experimental results of confronting the k-Nearest Neighbor (kNN) algorithm with Support Vector Machine (SVM) in the collaborative filtering framework using datasets with different...
Applying collaborative filtering to real0life corporate data (2005)
Grcar, Miha, Mladenić, Dunja, Grobelnik, Marko
In this paper, we present our experience in applying collaborative filtering to real-life corporate data. The quality of collaborative filtering recommendations is highly dependent on the quality of...
USER PROFILING: COLLABORATIVE FILTERING (2004)
Collaborative filtering is based on the assumption that “similar users have similar preferences”. In other words, by finding users that are similar to the active user and by examining their...
USER PROFILING: WEB USAGE MINING (2004)
Web usage mining differs from collaborative filtering in the fact that we are not interested in explicitly discovering user profiles but rather usage profiles. When preprocessing a log file we do not...