Previous Page  11 / 11
Information
Show Menu
Previous Page 11 / 11
Page Background

Выявление аномалий при прогнозном анализе данных

ISSN 0236-3933. Вестник МГТУ им. Н.Э. Баумана. Сер. Приборостроение. 2016. № 5

85

zhurnal: nauka i innovacii”

[El. Sc.-Tech. Publ. “Eng. J.: Science and Innovation”],

2012,

iss. 3. DOI: 10.18698/2308-6033-2012-3-94 Available at:

http://engjournal.ru/eng/

catalog/it/biometric/94.html

[7] Shubert E., Zimek A., Kriegel H.-P. Local outlier detection reconsidered: a generalized view

on locality with applications to spatial, video and network outlier detection.

Data Min. and

Knowl. Disc

., 2014, vol. 28, iss. 1, pp. 190–237. DOI: 10.1007/s10618-012-0300-z

[8] Kuzovlev V.I., Orlov A.O. Method of detecting anomalies in the source data at construc-

ting a prognostic model of a decision tree in decision support systems.

Nauka i obrazovanie

.

MGTU im. N.E. Baumana

[Science & Education of the Bauman MSTU. Electronic Journal],

2012, no. 9. DOI: 10.7463/0912.0483269 Available at:

http://technomag.neicon.ru/

en/doc/483269.html

[9] Kuzovlev V.I., Orlov A.O. Probabilistic approach to estimating the validity factor of ele-

ments of profiling results.

Jelektr. nauchno-tekh. izd. “Inzhenernyy zhurnal: nauka i innovacii”

[El. Sc.-Tech. Publ. “Eng. J.: Science and Innovation”], 2012, iss. 3.

DOI: 10.18698/2308-6033-2012-3-115 Available at:

http://engjournal.ru/eng/catalog/it/

hidden/115.html

[10] Vagin V.N., Golovina

E.Yu.

, Zagoryanskaya A.A., Fomina M.V. Dostovernyy i pravdopo-

dobnyy vyvod v intellektual'nykh sistemakh [Credible and plausible inference in intelligent

systems]. Moscow, Fizmatlit Publ., 2008. 712 p.

[11] Kuzovlev V.I., Orlov A.O. The method of parameters selection and data anomaly analysis

results interpretation in decision support systems.

Jelektr. nauchno-tekh. izd. “Inzhenernyy

zhurnal: nauka i innovacii”

[El. Sc.-Tech. Publ. “Eng. J.: Science and Innovation”],

2013,

iss. 11. DOI: 10.18698/2308-6033-2013-11-1045 Available at:

http://engjournal.ru/eng/

catalog/it/hidden/1045.html

[12] Orlov A.O. The problem of search distances between values of categorical attributes de-

tection emissions data.

V mire nauchnykh otkrytiy

[In the World of Scientific Discoveries],

2012, no. 8.1, pp. 142–155 (in Russ.).

Kuzovlev V.I.

— Cand. Sci. (Eng.), Assoc. Professor of Information Processing and Control

Systems Department, Bauman Moscow State Technical University (2-ya Baumanskaya ul. 5,

Moscow, 105005 Russian Federation).

Orlov A.O.

— Cand. Sci. (Eng.), Assoc. Professor of Information Processing and Control Sys-

tems Department, Bauman Moscow State Technical University (2-ya Baumanskaya ul. 5, Mos-

cow, 105005 Russian Federation).

Please cite this article in English as:

Kuzovlev V.I., Orlov A.O. Anomalies Detection in Prognostic Data Analysis.

Vestn. Mosk. Gos.

Tekh. Univ. im. N.E. Baumana, Priborostr.

[Herald of the Bauman Moscow State Tech. Univ.,

Instrum. Eng.], 2016, no. 5, pp. 75–85. DOI: 10.18698/0236-3933-2016-5-75-85