Features of using data mining methods in training information systems

Sergey Kozlov

Abstract


The article discusses the application of data mining methods in the educational process. The possibilities of their implementation in the training process as functional tools of training information systems are analyzed. Features of their use to build optimal learning paths of students are considered. Galois's compliance methodology is proposed as a method of data mining in such systems. The author describes versions of its application in case of representation of the subject area in the form of a graph model G of educational material. On the examples of graph models, various possible situations are characterized. Case classification is based on the allocation of sets of non-learned knowledge elements associated with the vertices of graph G. Parameters of diameter d and number of vertices are selected as criteria of division into subsets. For each of the cases d = 0, d = 1 and d = 2 a meaningful interpretation is given. The case with n vertices of diameter d of more than two is also disassembled. Based on the identified situations, a rule is formulated for the subgraphs G1, G2, ..., Gn of the graph G according to unlearned knowledge elements for each student. This allowed to describe the algorithm of application of Galois correspondence as a method of data mining in training information systems. The author consistently gives a characteristic of each of the stages of the algorithm. Particular importance is attached to the formation of optimal training strategies in accordance with the identified cases of application of the Galois methodology for the graph model G of the material under study. The relevance of the article is related to the need to support the educational process with the help of training information systems.


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References


Razmahnina A. N., Bazhenov R. I. O primenenii jekspertnyh sistem v razlichnyh oblastjah // Postulat. – 2017. – # 1 (15). – S. 38.

Kozlov S. V. Ispol'zovanie funkcional'nyh vozmozhnostej informacionnyh sistem v proizvodstvennoj sfere // Jenergetika, informatika, innovacii – 2017 (jelektrojenergetika, jelektrotehnika i teplojenergetika, matematicheskoe modelirovanie i informacionnye tehnologii v proizvodstve): sbornik trudov VII-oj Mezhdunarodnoj nauchno-tehnicheskoj konferencii. V 3 tomah. – Smolensk. – 2017. – T. 1. – S. 298-301.

Koshevenko S. V., Sil'chenkova S. V. Struktura informacionnoj sistemy obrazovatel'nogo menedzhera // Innovacii na osnove informacionnyh i kommunikacionnyh tehnologij. – 2015. – T. 1. – S. 69-71.

Maksimova N. A. Modelirovanie informacionno-obrazovatel'noj sredy uchebnogo zavedenija // Koncept. – 2016. – # 5. – S. 195-200.

Kozlov S. V. Perspektivy vnedrenija intellektual'nyh cifrovyh tehnologij v processy upravlenija // Cifrovoj region: opyt, kompetencii, proekty: sbornik statej Mezhdunarodnoj nauchno-prakticheskoj konferencii (g. Brjansk, 30 nojabrja 2018 g.) [Jelektronnyj resurs]. – Brjansk: Brjan. gos. inzhenerno-tehnol. un-t, 2018. – S. 236-240.

Munerman V. I. Realizacija parallel'noj obrabotki dannyh v oblachnyh sistemah // Sovremennye informacionnye tehnologii i IT-obrazovanie. – 2017. T. 13. # 2. – S. 57-63.

Sokolov N. P. Vvedenie v teoriju mnogomernyh matric. – Kiev: Naukova dumka, 1972. – 176 s.

Tihonova L. P. Aktual'nye voprosy razrabotki sovremennyh sredstv monitoringa i kontrolja kachestva obuchenija // Innovacii v professional'nom i professional'no-pedagogicheskom obrazovanii: materialy 23-j Mezhdunarodnoj nauchno-prakticheskoj konferencii. – Ekaterinburg, 2018. – S. 602-605.

Kiseleva O. M. Realizacija principa individualizacii obrazovatel'nogo processa s ispol'zovaniem programmy «Traektorija obuchenija» // Sovremennye nauchnye issledovanija i innovacii. – 2014. # 5-2 (37). – S. 41.

Maksimova N. A., Gavrilova T. I. Metodicheskie osobennosti primenenija razvivajushhih komp'juternyh igr v uchebnom processe // Nauchno-metodicheskij jelektronnyj zhurnal Koncept. – 2015. # 8. – S. 61-65.

Bazhenov R. I., Shtepa Ju. P., Shevchenko N. V. Organizacija proektno-issledovatel'skoj dejatel'nosti shkol'nikov sredstvami obrazovatel'noj robototehniki // Informatika v shkole. – 2017. – # 10 (133). – S. 25-27.

Kiseleva O. M., Timofeeva N. M., Bykov A. A. Formalizacija jelementov obrazovatel'nogo processa na osnove matematicheskih metodov // Sovremennye problemy nauki i obrazovanija. – 2013. – # 1. – S. 224.

Bazhenov R. I., Lopatin D. K. O primenenii sovremennyh tehnologij v razrabotke intellektual'nyh sistem // Zhurnal nauchnyh publikacij aspirantov i doktorantov. – 2014. – # 3 (93). – S. 263-264.

Emel'chenkov E. P., Kiseleva O. M. O predstavlenii predmetnyh oblastej s pomoshh'ju semanticheskih setej // NovaInfo.Ru. – 2016. – T. 2. # 42. – S. 17-23.

Kristofides N. Teorija grafov. Algoritmicheskij podhod. – M.: Mir, 1978. – 432 s.

Kon P. M. Universal'naja algebra / P. M. Kon; per. s angl. T. M. Baranovich; pod red. A. G. Kurosha. – M.: Mir, 1968. – 351 s.

Parvatov N. G. Sootvetstvie Galua dlja zamknutyh klassov diskretnyh funkcij // Prikladnaja diskretnaja matematika. – 2010. – #2(8). – S. 10-15.

Kozlov S. V. Interpretacija invariantov teorii grafov v kontekste primenenija sootvetstvija Galua pri sozdanii i soprovozhdenii informacionnyh sistem // International Journal of Open Information Technologies. – 2016. – T. 4. # 7. – S. 38-44.

Zykov A. A. Osnovy teorii grafov. – M: Vuzovskaja kniga, 2004. – 664 s.

Kozlov S. V. Matematicheskie osobennosti ispol'zovanija vozmozhnostej programmnogo kompleksa «Advanced Tester» kak instrumenta funkcional'nogo analiza sistemnyh dannyh // International Journal of Open Information Technologies. – 2019. – T. 7. # 2. – S. 21-30.

Eres' A. V., Bazhenov R. I. Razrabotka web-orientirovannoj jekspertnoj sistemy proforientacionnogo testirovanija // Postulat. – 2018. – # 6 (32). – S. 80.

Kozlov S. V., Suin I. A. O nekotoryh aspektah primenenija invariantnyh metodov funkcional'nogo analiza dannyh v razlichnyh predmetnyh oblastjah // Sistemy komp'juternoj matematiki i ih prilozhenija. – 2019. – # 20-1. – S. 199-205.

Muha V. S. Matematicheskie modeli mnogomernyh dannyh // Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radiojelektroniki. – 2014. – # 2 (80). – S. 143-158.

Kozlov S. V. Ispol'zovanie matematicheskogo apparata implikativnyh matric pri sozdanii i soprovozhdenii informacionnyh sistem // International Journal of Open Information Technologies. – 2017. – T. 5. # 12. – S. 16-23.


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