EventsMOL2NET'19, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 5th ed.
Event submissions
Published
with-doi10.3390/mol2net-05-06252
This submission belongs to the session 01. USEDAT-05: USA-Europe Data Analysis Training Bilbao, Spain-Cambridge, UK-Miami, USA, 2019 of the event MOL2NET'19, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 5th ed.
Published date
11 Sep, 2019
Citation
Bernabe Ortega-Tenezaca, Viviana F. Quevedo-Tumailli, Batch processing in transformation of continuous variables for PTML Theory, in Proceedings of MOL2NET'19, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 5th ed., 20 March–20 December 2019, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-05-06252
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Batch processing in transformation of continuous variables for PTML Theory

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Bernabe Ortega-Tenezaca 1,2
Viviana F. Quevedo-Tumailli 2,3
1. RNASA-IMEDIR, Computer Science Faculty, University of A Coruña, 15071, A Coruña, Spain., Ecuador
2. Universidad Estatal Amazónica – Puyo, Pastaza, Ecuador.
3. RNASA-IMEDIR, Computer Science Faculty, University of A Coruña, 15071, A Coruña, Spain.
Abstract

In the present work, a software module has been developed that allows the selection of continuous variables from an Excel file, which are initially subjected to a process of verification and cleaning of the information, allowing the elimination of cases, or otherwise replacing outliers. With the average value, it is then possible to perform transformation operations such as Identity, exponential, absolute value, numerical power, logarithm, maximum and minimum probability, z-score, harmonic mean sum, Euclidean distance, in batch processing of continuous variables. In the end, the respective results can be obtained within a dataset that can be stored in CSV format, or in turn continue processing with PTML

Keywords
Continuous variables
Transformations
PTML
Manuscript
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