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Preliminary Cleaning and Transformation of Data in Data Mining Using PHP Pthreads Library. / Shichkina, Yulia; Koblov, Alexander; Lysov, Kirill; Iakushkin, Oleg.
Computational Science and Its Applications – ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part V. Springer Nature, 2017. p. 463-472 (Lecture Notes in Computer Science; Vol. 10408).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
Harvard
Shichkina, Y, Koblov, A
, Lysov, K & Iakushkin, O 2017,
Preliminary Cleaning and Transformation of Data in Data Mining Using PHP Pthreads Library. in
Computational Science and Its Applications – ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part V. Lecture Notes in Computer Science, vol. 10408, Springer Nature, pp. 463-472, 17th International Conference on Computational Science and Its Applications, ICCSA 2017, Trieste, Italy,
2/07/17.
https://doi.org/10.1007/978-3-319-62404-4_34APA
Shichkina, Y., Koblov, A.
, Lysov, K., & Iakushkin, O. (2017).
Preliminary Cleaning and Transformation of Data in Data Mining Using PHP Pthreads Library. In
Computational Science and Its Applications – ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part V (pp. 463-472). (Lecture Notes in Computer Science; Vol. 10408). Springer Nature.
https://doi.org/10.1007/978-3-319-62404-4_34Vancouver
Author
Shichkina, Yulia ; Koblov, Alexander
; Lysov, Kirill ; Iakushkin, Oleg. /
Preliminary Cleaning and Transformation of Data in Data Mining Using PHP Pthreads Library. Computational Science and Its Applications – ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part V. Springer Nature, 2017. pp. 463-472 (Lecture Notes in Computer Science).
BibTeX
@inproceedings{3ec454ca9aaf415a834a1e78a22412bb,
title = "Preliminary Cleaning and Transformation of Data in Data Mining Using PHP Pthreads Library",
abstract = "The article deals with a special case of the preparation of data about the vehicles movements which comes in large volumes from the source to the accelerated applied methods of data mining. Data preparation goes through several stages from selecting the necessary fields and records to saving them with modified values into a new data structure. The source data which consist of 18 fields has a share of incorrect information and formats of numerical information that are not suitable for further processing. The source data is large in volume and processing it in the original form takes a very long time. The article shows how to use the pthreads library to organize multi-threaded processing of this data. To confirm the applicability of this library, the article presents the results of numerical experiments.",
keywords = "Data mining Data cleaning Data transformation PHP Pthreads",
author = "Yulia Shichkina and Alexander Koblov and Kirill Lysov and Oleg Iakushkin",
note = "Shichkina Y., Koblov A., Lysov K., Iakushkin O. (2017) Preliminary Cleaning and Transformation of Data in Data Mining Using PHP Pthreads Library. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science, vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_34; 17th International Conference on Computational Science and Its Applications, ICCSA 2017 ; Conference date: 02-07-2017 Through 05-07-2017",
year = "2017",
doi = "10.1007/978-3-319-62404-4_34",
language = "English",
isbn = "978-3-319-62403-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "463--472",
booktitle = "Computational Science and Its Applications – ICCSA 2017",
address = "Germany",
}
RIS
TY - GEN
T1 - Preliminary Cleaning and Transformation of Data in Data Mining Using PHP Pthreads Library
AU - Shichkina, Yulia
AU - Koblov, Alexander
AU - Lysov, Kirill
AU - Iakushkin, Oleg
N1 - Conference code: 17
PY - 2017
Y1 - 2017
N2 - The article deals with a special case of the preparation of data about the vehicles movements which comes in large volumes from the source to the accelerated applied methods of data mining. Data preparation goes through several stages from selecting the necessary fields and records to saving them with modified values into a new data structure. The source data which consist of 18 fields has a share of incorrect information and formats of numerical information that are not suitable for further processing. The source data is large in volume and processing it in the original form takes a very long time. The article shows how to use the pthreads library to organize multi-threaded processing of this data. To confirm the applicability of this library, the article presents the results of numerical experiments.
AB - The article deals with a special case of the preparation of data about the vehicles movements which comes in large volumes from the source to the accelerated applied methods of data mining. Data preparation goes through several stages from selecting the necessary fields and records to saving them with modified values into a new data structure. The source data which consist of 18 fields has a share of incorrect information and formats of numerical information that are not suitable for further processing. The source data is large in volume and processing it in the original form takes a very long time. The article shows how to use the pthreads library to organize multi-threaded processing of this data. To confirm the applicability of this library, the article presents the results of numerical experiments.
KW - Data mining Data cleaning Data transformation PHP Pthreads
U2 - 10.1007/978-3-319-62404-4_34
DO - 10.1007/978-3-319-62404-4_34
M3 - Conference contribution
SN - 978-3-319-62403-7
T3 - Lecture Notes in Computer Science
SP - 463
EP - 472
BT - Computational Science and Its Applications – ICCSA 2017
PB - Springer Nature
T2 - 17th International Conference on Computational Science and Its Applications, ICCSA 2017
Y2 - 2 July 2017 through 5 July 2017
ER -
