1. Home
  2. LEA 2015
  3. Proceedings
  4. Valid formation of scientific schools

Valid formation of scientific schools

Iryna Zheliznyak iryna.zhelizniak [at] gmail.com
  1. Information Systems and Networks Department, Lviv Polytechnic National University, UKRAINE, Lviv, S. Bandery street 32a
Abstract 

In this paper are described the methods of clustering papers by scientific schools. The algorithm of clusterizing abstracts based on the developed models and methods of frequency analysis of terms in sentences and determining the weight of sentences was reviewed. Also, in this paper i analyze the algorithm of summarization of natural language documents using the concept of importance coefficients

Keywords 
clustering
text information
scientific schools
ontology
scientific direction
electronic libraries
References 

[1] Dunham M. Data Mining Introductory and Advanced Topics / M. Dunham ; Pearson Education. — Inc., 2003. – 64 p.
[2] Exploratory mining and pruning optimizations of constrained associations rules // Proc. of 1998 ACM–SIGMOD Conf. on Management of Data, Seattle, June 1998 у., Washington. – Washington, 1998. – 13 p.
[3] Obvintseva GI Development of information model monitoring scientific, technological and innovation activities in Ukraine with the use of electronic information resources / GI Obvintseva. - K .: STI, 2010. – 91 p.
[4] Agrawal R. Fast Discovery of Association Rules / R. Agrawal, R. Srikant // Proc. of the 20th International Conference on VLDB, September 1994, Santiago, Chile.– Santiago, 1994.– 487 p.