Data mining for scientific publications

  • Mihai Vlase “Dunarea de Jos” University of Galati
  • Radu Negulescu McGill University, Montreal
Keywords: search engine, relevance, rank, citations

Abstract

Searching scientific literature on the Web is a difficult task because of the large volume and the complex dynamics of the scientific literature and because of the complexity and narrow target of typical queries. The problem is compounded by differences among publication standards and formats used in various fields of knowledge. In this paper we review several specific solutions that apply or adapt data mining techniques to searching scientific publications.

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Published
2006-12-03
How to Cite
1.
Vlase M, Negulescu R. Data mining for scientific publications. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 3Dec.2006 [cited 27Dec.2024];29:63-8. Available from: https://gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/693
Section
Articles