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Characterization of records in emergencies assisted by INPRADEM using data mining

Author

Listed:
  • Yamilet Casanova

    (Ingeniero de Sistemas de la Universidad de Los Andes. Mérida, Venezuela. Teléfono: (58) 04126630203.)

  • Francisco Hidrobo

    (Ph.D. En Arquitectura de Computadores de la Universidad Politécnica de Cataluña. Escuela de Ciencias Matemáticas y Computacionales Yachay Tech. Ecuador. Teléfono: (593) 980610529.)

  • Lucileima Rosales

    (Magister Scientiae en Estadística de la Universidad de Los Andes. Escuela de Estadística. Universidad de Los Andes. Mérida, Venezuela. Teléfono: (58) 04147282629.)

Abstract

This article presents the characterization of INPRADEM’s emergency records by using data mining. The methodology used was CRISP-DM, placing an emphasis on: emergencies caused in the Merida State, collisions of hours, weeks with more emergencies and events during vacation periods. The results provide relevant information related to the most used equipment, collision arrangement by hours, emergencies that do or do not require equipment, performance in holiday periods, and days of the week with a greater number of events. INPRADEM has a new way of viewing its data, promising benefits to the solution of a wide range of problems such as: economic planning, work and equipment distribution, service analysis and prevention in periods of high demand.

Suggested Citation

  • Yamilet Casanova & Francisco Hidrobo & Lucileima Rosales, 2019. "Characterization of records in emergencies assisted by INPRADEM using data mining," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 44(48), pages 81-115, july-dece.
    • Handle: RePEc:ula:econom:v:44:y:2019:i:48:p:81-115
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    More about this item

    Keywords

    Organization; data mining; characterization;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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