Standard
Using Boosted k-Nearest Neighbour Algorithm for Numerical Forecasting of Dangerous Convective Phenomena. / Станкова, Елена Николаевна; Хватков, Евгений Владимирович.
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings: 19th International Conference Saint Petersburg, Russia, July 1–4, 2019 Proceedings, Part IV. ред. / Sanjay Misra; Osvaldo Gervasi; Beniamino Murgante; Elena Stankova; Vladimir Korkhov; Carmelo Torre; Eufemia Tarantino; Ana Maria A.C. Rocha; David Taniar; Bernady O. Apduhan. Том 11622 Springer Nature, 2019. стр. 802–811 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11622 LNCS).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Harvard
Станкова, ЕН & Хватков, ЕВ 2019,
Using Boosted k-Nearest Neighbour Algorithm for Numerical Forecasting of Dangerous Convective Phenomena. в S Misra, O Gervasi, B Murgante, E Stankova, V Korkhov, C Torre, E Tarantino, AMAC Rocha, D Taniar & BO Apduhan (ред.),
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings: 19th International Conference Saint Petersburg, Russia, July 1–4, 2019 Proceedings, Part IV. Том. 11622, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 11622 LNCS, Springer Nature, стр. 802–811.
https://doi.org/10.1007/978-3-030-24305-0_61
APA
Станкова, Е. Н., & Хватков, Е. В. (2019).
Using Boosted k-Nearest Neighbour Algorithm for Numerical Forecasting of Dangerous Convective Phenomena. в S. Misra, O. Gervasi, B. Murgante, E. Stankova, V. Korkhov, C. Torre, E. Tarantino, A. M. A. C. Rocha, D. Taniar, & B. O. Apduhan (Ред.),
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings: 19th International Conference Saint Petersburg, Russia, July 1–4, 2019 Proceedings, Part IV (Том 11622, стр. 802–811). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11622 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-24305-0_61
Vancouver
Станкова ЕН, Хватков ЕВ.
Using Boosted k-Nearest Neighbour Algorithm for Numerical Forecasting of Dangerous Convective Phenomena. в Misra S, Gervasi O, Murgante B, Stankova E, Korkhov V, Torre C, Tarantino E, Rocha AMAC, Taniar D, Apduhan BO, Редакторы, Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings: 19th International Conference Saint Petersburg, Russia, July 1–4, 2019 Proceedings, Part IV. Том 11622. Springer Nature. 2019. стр. 802–811. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-24305-0_61
Author
BibTeX
@inproceedings{402c1ac4ec92477c880940509a2812c9,
title = "Using Boosted k-Nearest Neighbour Algorithm for Numerical Forecasting of Dangerous Convective Phenomena",
abstract = "The authors propose a boosted k-nearest neighbour algorithm for numerical forecasting of dangerous convective phenomena. The algorithm is applied for processing the output data of the numerical cloud model. The results show that boosted algorithm is able to predict the very fact of convective phenomena occurrence with the high accuracy, but it is not so good in distinguishing the specific type of convective phenomena. Comparison with the k-NN algorithm without boosting shows that boosting resulted in better accuracy of forecasting.",
keywords = "AdaBoost algorithm, Boosted k-nearest neighbour algorithm, Machine learning, Naive bayes classifier, Numerical model of convective cloud, Support-vector machine model, Thunderstorm forecasting, Weather forecasting",
author = "Станкова, {Елена Николаевна} and Хватков, {Евгений Владимирович}",
year = "2019",
doi = "10.1007/978-3-030-24305-0_61",
language = "English",
isbn = "9783030243043",
volume = "11622",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "802–811",
editor = "Sanjay Misra and Osvaldo Gervasi and Beniamino Murgante and Elena Stankova and Vladimir Korkhov and Carmelo Torre and Eufemia Tarantino and Rocha, {Ana Maria A.C.} and David Taniar and Apduhan, {Bernady O.}",
booktitle = "Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings",
address = "Germany",
}
RIS
TY - GEN
T1 - Using Boosted k-Nearest Neighbour Algorithm for Numerical Forecasting of Dangerous Convective Phenomena
AU - Станкова, Елена Николаевна
AU - Хватков, Евгений Владимирович
PY - 2019
Y1 - 2019
N2 - The authors propose a boosted k-nearest neighbour algorithm for numerical forecasting of dangerous convective phenomena. The algorithm is applied for processing the output data of the numerical cloud model. The results show that boosted algorithm is able to predict the very fact of convective phenomena occurrence with the high accuracy, but it is not so good in distinguishing the specific type of convective phenomena. Comparison with the k-NN algorithm without boosting shows that boosting resulted in better accuracy of forecasting.
AB - The authors propose a boosted k-nearest neighbour algorithm for numerical forecasting of dangerous convective phenomena. The algorithm is applied for processing the output data of the numerical cloud model. The results show that boosted algorithm is able to predict the very fact of convective phenomena occurrence with the high accuracy, but it is not so good in distinguishing the specific type of convective phenomena. Comparison with the k-NN algorithm without boosting shows that boosting resulted in better accuracy of forecasting.
KW - AdaBoost algorithm
KW - Boosted k-nearest neighbour algorithm
KW - Machine learning
KW - Naive bayes classifier
KW - Numerical model of convective cloud
KW - Support-vector machine model
KW - Thunderstorm forecasting
KW - Weather forecasting
UR - http://www.scopus.com/inward/record.url?scp=85068594820&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/using-boosted-knearest-neighbour-algorithm-numerical-forecasting-dangerous-convective-phenomena
U2 - 10.1007/978-3-030-24305-0_61
DO - 10.1007/978-3-030-24305-0_61
M3 - Conference contribution
SN - 9783030243043
VL - 11622
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 802
EP - 811
BT - Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings
A2 - Misra, Sanjay
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Stankova, Elena
A2 - Korkhov, Vladimir
A2 - Torre, Carmelo
A2 - Tarantino, Eufemia
A2 - Rocha, Ana Maria A.C.
A2 - Taniar, David
A2 - Apduhan, Bernady O.
PB - Springer Nature
ER -
