Vol.6, No.2, May 2017.                                                                                                              ISSN: 2217-8309

                                                                                                                                                 eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Automatic Clustering of Papers in Thematic Fields and Working Sessions


Yordan Kalmukov


© 2017 Yordan Kalmukov, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 6, Issue 2, Pages 315-325, ISSN 2217-8309, DOI: 10.18421/TEM62-17, May 2017.




This article proposes an approach for semi-automatic paper clustering that suggests: which papers to be grouped together in common working sessions, the number of sessions (thematic fields), and the inter-session and intra-session organization, i.e. the order of sessions and the order of papers within a session. In contrast to the existing solutions this approach does not try to group papers in a predefined number of equally-sized sessions, but follows the natural data fragmentation to achieve higher accuracy by producing integral and consistent clusters, independent on the number of target sessions and their size. Experimental results show that the proposed solution is feasible and provides very good initial grouping of papers that greatly facilitates the preparation of the conference program.


Keywords – Automatic conference program generation; agglomerative hierarchical clustering; comparing clusterings.



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