Minería de datos: Una propuesta metodológica para educación superior

Jorge Díaz Ramírez; Ximena Badilla Torrico; José Luis Martí Lara

Minería de datos: Una propuesta metodológica para educación superior

Translated title of the contribution: Data mining: A methodological proposal for higher education

Jorge Díaz Ramírez
, Ximena Badilla Torrico
, José Luis Martí Lara

Department of Engineering and Technology

Universidad de Tarapacá

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The objective of this work was to propose a methodology of data mining in civil engineering careers at the University of Tarapacá, Iquique headquarters. For which CRISP-DM was used. With this, it is possible to apply the different stages of the methodology to real data, depending on the problem to be solved, generating new knowledge and using the Rapidminer tool, with different measurements and algorithms. Then, it is concluded that this methodology can generate new knowledge based on established steps, having the possibility of applying innovative practices in data management.

Translated title of the contribution	Data mining: A methodological proposal for higher education
Original language	Spanish
Pages (from-to)	482-502
Number of pages	21
Journal	Opcion
Volume	35
Issue number	SpecialEdition25
State	Published - 2019

Cite this

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title = "Miner{\'i}a de datos: Una propuesta metodol{\'o}gica para educaci{\'o}n superior",

abstract = "The objective of this work was to propose a methodology of data mining in civil engineering careers at the University of Tarapac{\'a}, Iquique headquarters. For which CRISP-DM was used. With this, it is possible to apply the different stages of the methodology to real data, depending on the problem to be solved, generating new knowledge and using the Rapidminer tool, with different measurements and algorithms. Then, it is concluded that this methodology can generate new knowledge based on established steps, having the possibility of applying innovative practices in data management.",

keywords = "CRISP-DM, Civil Engineering, Methodology, Universidad de Tarapac{\'a}",

author = "Ram{\'i}rez, \{Jorge D{\'i}az\} and Torrico, \{Ximena Badilla\} and Lara, \{Jos{\'e} Luis Mart{\'i}\}",

note = "Publisher Copyright: {\textcopyright} 2019, Universidad del Zulia. All rigthts reserved.",

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language = "Spanish",

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T2 - Una propuesta metodológica para educación superior

AU - Ramírez, Jorge Díaz

AU - Torrico, Ximena Badilla

AU - Lara, José Luis Martí

PY - 2019

Y1 - 2019

N2 - The objective of this work was to propose a methodology of data mining in civil engineering careers at the University of Tarapacá, Iquique headquarters. For which CRISP-DM was used. With this, it is possible to apply the different stages of the methodology to real data, depending on the problem to be solved, generating new knowledge and using the Rapidminer tool, with different measurements and algorithms. Then, it is concluded that this methodology can generate new knowledge based on established steps, having the possibility of applying innovative practices in data management.

AB - The objective of this work was to propose a methodology of data mining in civil engineering careers at the University of Tarapacá, Iquique headquarters. For which CRISP-DM was used. With this, it is possible to apply the different stages of the methodology to real data, depending on the problem to be solved, generating new knowledge and using the Rapidminer tool, with different measurements and algorithms. Then, it is concluded that this methodology can generate new knowledge based on established steps, having the possibility of applying innovative practices in data management.

KW - CRISP-DM

KW - Civil Engineering

KW - Methodology

KW - Universidad de Tarapacá

UR - https://www.scopus.com/pages/publications/85085900145

M3 - Article

AN - SCOPUS:85085900145

SN - 1012-1587

VL - 35

SP - 482

EP - 502

JO - Opcion

JF - Opcion

IS - SpecialEdition25

ER -

Minería de datos: Una propuesta metodológica para educación superior

Abstract

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