Intellectual Information Technology of Analysis of Weakly-Structured Multi-Dimensional Data of Sociological Research

Author:

Arsirii OlenaORCID,Antoshchuk SvitlanaORCID,Babilunha OksanaORCID,Manikaeva OlhaORCID,Nikolenko AnatoliiORCID

Publisher

Springer International Publishing

Reference22 articles.

1. Arsirii E, Sayenko A (2011) Neural network pattern recognition of the public library readers to provide specialized information services. In: Proceedings of the Odessa Polytechnic University, vol 1(35), pp 118–124 (in Russian)

2. Arsiry E, Zhylenko E (2009) Neural network formation of integrated professional characteristics in the system of distance learning MOODLE. In: Proceedings of the Odessa Polytechnic University, vol 2(32), pp 161–166 (in Russian)

3. Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) From data mining to knowledge discovery in data bases. AI Mag 17(3):37–54. https://doi.org/10.1609/aimag.v17i3.1230

4. Arsirii O, Babilunha O, Manikaeva O, Rudenko O (2018) Automation of the preparation process weakly-structured multi-dimensional data of sociological surveys in the data mining system. In: Herald of Advanced Information Technology, vol 01(01), pp 9–17 (in Russian). https://doi.org/10.15276/hait.01.2018.1

5. Rudenko A, Arsirii E (2018) Method of intellectual analysis of weakly structured multidimensional data of sociological surveys. In: Proceedings of the VIIth international conference “Modern Information Technology” (MIT), Odessa, Ukraine, pp 168–169 (in Russian)

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