CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

Martínez-Plumed, Fernando; Contreras-Ochando, Lidia; Ferri, Cèsar; Hernández-Orallo, José; Kull, Meelis; Lachiche, Nicolas; Ramírez-Quintana, Marïa José; Flach, Peter A.

doi:10.1109/tkde.2019.2962680

Cited by 215 publications

(158 citation statements)

References 36 publications

(36 reference statements)

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“…Author(s) in [7], [8] Cognitive technology is the use of computers to simulate human learning, using cognitive technology learning algorithms to predict future results or to make different types of decisions under certain conditions. This allows the machine to understand the current situation on the basis of learning, enabling the machine to make informed decisions.…”

Section: Related Workmentioning

confidence: 99%

The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Palee¹,

Wannapiroon²,

Nilsook³

2020

IJACSA

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Section: Related Workmentioning

confidence: 99%

The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Palee¹,

Wannapiroon²,

Nilsook³

2020

IJACSA

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“…The prediction model is a multi-disciplinary problem that must consider the major impact factors upon the plant growth [27]. For conducting predictive analysis, the process model called Cross Industry Standard Process for Data Mining (CRISP-DM) [28] is used in the present work.…”

Section: Data Analytics Approachmentioning

confidence: 99%

Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture

Bălan¹,

Dumitru²,

Dudnik

et al. 2020

Sensors

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Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world’s growing population while limiting environmental pollution. The aim of this paper is to describe a multi-sensor Internet of Things (IoT) system for agriculture consisting of a soil probe, an air probe and a smart data logger. The implementation details will focus of the integration element and the innovative Artificial Intelligence based gas identification sensor. Furthermore, the paper focuses on the analytics and decision support system implementation that provides farming recommendations and is enhanced with a feedback loop from farmers and a social trust index that will increase the reliability of the system.

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“…Segundo MARTÍNEZ-PLUMED et al (2019), em muitas pesquisas feitas com empresas e usuários, o CRISP-DM ainda é o padrão para o desenvolvimento de projetos de mineração de dados e descoberta de conhecimento. O campo avançou bastante em vinte anos com a ciência de dados, sendo agora o método preferido na mineração de dados.…”

Section: Introductionunclassified

CRISP-EDM: uma proposta de adaptação do Modelo CRISP-DM para mineração de dados educacionais

Ramos¹,

Rodrigues²,

Silva³

et al. 2020

Anais Do XXXI Simpósio Brasileiro De Informática Na Educação (SBIE 2020)

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Este artigo teórico apresenta uma proposta de adaptação do consolidado modelo de mineração de dados CRISP-DM, para cenários de dados educacionais, sejam eles provenientes de plataformas de ensino online ou de fontes como exames nacionais de curso ou mesmo de sistemas de gestão acadêmica. Apesar de seguir integralmente as seis etapas do modelo original, o modelo proposto, aqui denominado de CRISP-EDM, apresenta algumas particularidades em razão dos tipos de dados e do domínio educacional. O modelo já foi usado em duas teses de doutorado aprovadas e agora é apresentado com mais detalhes neste trabalho. Espera-se com isso, dar uma contribuição às pesquisas na área de mineração de dados educacionais.

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CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

Cited by 215 publications

References 36 publications

The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture

CRISP-EDM: uma proposta de adaptação do Modelo CRISP-DM para mineração de dados educacionais

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