Jan Martinovic

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The definitive classification of scientific journals depends on their aim and scope details. In this paper, we present an approach to facilitate the journals classification of the DBLP datasets. For the analysis, the DBLP data sets were pre-processed by assigning each journal attributes defined by its topics. It is subsequently shown how theory of formal(More)
In this paper we present a new dynamic nature inspired algorithm for the enhancement of routing in problematic parts of the road network affected by traffic jams, accidents and so on. The algorithm is intended to improve the quality of navigation in the critical sections of road network or in its parts affected by accidents. By the Ant Colony Algorithm we(More)
Approach based on clustering will be described in our paper. Basic version of our system was given in [5] allows us to expand query through special index. Hierarchical agglomerative clustering of the whole document collection generates the index. Retrieving of topic development is specific problem. Standard methods of IR does not allow us such kind of(More)
There are many ways how to search for documents in document collections. These methods take advantage of Boolean, vector, probabilistic and other models for representation of documents, queries, rules and procedures which can determine correspondence between user requests and documents. Each of these models have several restrictions. These restrictions do(More)
In traditional language identification methods, it is not so easy for search engines to find relevant language database of a given query. Therefore, there is a need to identify the relevant user’s natural language query of unknown document database in a better way by automatic language identification. This novel approach presents an automatic method(More)
With increasing opportunities for analyzing large data sources, we have noticed a lack of effective processing in datamining tasks working with large sparse datasets of high dimensions. This work focuses on this issue and on effective clustering using models of artificial intelligence. The authors of this article propose an effective clustering algorithm to(More)
The growth of eLearning systems popularity motivates researchers to study these systems intensively. Users of eLearning systems form social networks through the different activities performed by them (sending emails, reading study materials, chat, taking tests, etc.). This paper focuses on searching of latent social networks from eLearning systems data.(More)