Data normalization is important for data analysis so there are many methods of data normalization. Also because of many differences in various disciplines and fields, the concepts and methods of data normalization in literature appear vague and confusing in Chinese translations. In this paper, data normalization and data standardization are two main terms used on the basis of a detailed analysis of the situation. We recommend the "data normalization" corresponding to Chinese translations. Then theoretically, the differences between the two terms are elaborated and the intrinsic meanings and features of data normalization are studied.
| Published in | International Journal on Data Science and Technology (Volume 2, Issue 6) |
| DOI | 10.11648/j.ijdst.20160206.13 |
| Page(s) | 72-75 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Normalization, Standardization, Non-dimensionalization, Data Processing
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APA Style
Luo Yan, Wang Youqun, Wu Yong. (2016). On the Normalization of Data in Chinese Meanings. International Journal on Data Science and Technology, 2(6), 72-75. https://doi.org/10.11648/j.ijdst.20160206.13
ACS Style
Luo Yan; Wang Youqun; Wu Yong. On the Normalization of Data in Chinese Meanings. Int. J. Data Sci. Technol. 2016, 2(6), 72-75. doi: 10.11648/j.ijdst.20160206.13
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Download@article{10.11648/j.ijdst.20160206.13,
author = {Luo Yan and Wang Youqun and Wu Yong},
title = {On the Normalization of Data in Chinese Meanings},
journal = {International Journal on Data Science and Technology},
volume = {2},
number = {6},
pages = {72-75},
doi = {10.11648/j.ijdst.20160206.13},
url = {https://doi.org/10.11648/j.ijdst.20160206.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20160206.13},
abstract = {Data normalization is important for data analysis so there are many methods of data normalization. Also because of many differences in various disciplines and fields, the concepts and methods of data normalization in literature appear vague and confusing in Chinese translations. In this paper, data normalization and data standardization are two main terms used on the basis of a detailed analysis of the situation. We recommend the "data normalization" corresponding to Chinese translations. Then theoretically, the differences between the two terms are elaborated and the intrinsic meanings and features of data normalization are studied.},
year = {2016}
}
TY - JOUR T1 - On the Normalization of Data in Chinese Meanings AU - Luo Yan AU - Wang Youqun AU - Wu Yong Y1 - 2016/12/20 PY - 2016 N1 - https://doi.org/10.11648/j.ijdst.20160206.13 DO - 10.11648/j.ijdst.20160206.13 T2 - International Journal on Data Science and Technology JF - International Journal on Data Science and Technology JO - International Journal on Data Science and Technology SP - 72 EP - 75 PB - Science Publishing Group SN - 2472-2235 UR - https://doi.org/10.11648/j.ijdst.20160206.13 AB - Data normalization is important for data analysis so there are many methods of data normalization. Also because of many differences in various disciplines and fields, the concepts and methods of data normalization in literature appear vague and confusing in Chinese translations. In this paper, data normalization and data standardization are two main terms used on the basis of a detailed analysis of the situation. We recommend the "data normalization" corresponding to Chinese translations. Then theoretically, the differences between the two terms are elaborated and the intrinsic meanings and features of data normalization are studied. VL - 2 IS - 6 ER -
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