CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps

Saltz, Jeffrey S.

doi:10.1109/bigdata52589.2021.9671634

Cited by 36 publications

(16 citation statements)

References 15 publications

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“…Based on the stages of applying the methodology, the researchers implemented the Crisp DM design as a test model, and the Linear Regression Algorithm as a data mining method in this research. In this study, the test design carried out using the Cross-Industry Standard Process for Data Mining or CRISP-DM is one of the datamining process models (datamining framework) (Zhang, 2021;Saltz, 2021). The following is an image of the test scheme on CRISP-DM: In this study using a test model to get good and maximum research results.…”

Section: Resultsmentioning

confidence: 99%

Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm

Wahyudi¹,

Arroufu²

2022

JAETS

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In the current era of modernization, online shopping has become a habit of the people, and is closely related to freight forwarding services in charge of delivering online shopping items from the seller to the buyer. So that buyers need a fast and safe delivery service to ensure the goods sent on time to their destination. Customer satisfaction is one of the most important factors in the shipping business. However, there are several obstacles that occur in the field that cause delays in the delivery of goods. Therefore, one solution that can be used to overcome this problem is to use data mining technology to predict delivery times. Using 1,000 datasets consisting of 4 Attributes, data processing will be carried out with prediction techniques using the Linear Regression algorithm. By utilizing data when the goods are taken, when the goods are on the way, until they reach the buyer, they can produce forecasts or predictions and produce several analyzes so that in the future there will be no delivery delays. Based on the RMSE (Root Mean Square Error) value which serves to generate the level value the error of the prediction results using this method and in an RMSE value of 0.370 %. It can be concluded that using the Linear Regression algorithm is proven to be accurate in predicting delivery times.

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Section: Resultsmentioning

confidence: 99%

Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm

Wahyudi¹,

Arroufu²

2022

JAETS

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“…CRISP-DM (CRoss-Industry Standard Process for Data Mining) (Chapman et al 2000) is today the most widely used approach for carrying out data mining and data science projects (Martinez-Plumed et al 2021;Saltz 2021). It provides an industry-independent and technology-neutral process model for developing data mining models.…”

Section: The Crisp-dm Model Of Designing Data Mining Modelsmentioning

confidence: 99%

Modelling the Design of Models: An Example Using Crisp-Dm

Kannengiesser

Gero

2023

Proc. Des. Soc.

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Design is widely understood as a domain-independent notion, comprising any activity concerned with creating artefacts. This paper shows that models can be viewed as artefacts, and that the design of models resembles the design of artefacts in other domains. The function-behaviour-structure (FBS) ontology of design is applied to models, mapping generic characteristics of models derived from literature on modelling onto basic, design-ontological categories. An example of model design, namely the CRISP-DM model for designing data mining models, is analysed and compared with models of designing in other domains (systems engineering, mechanical engineering, software engineering, and service design). The results show that there are fundamental commonalities but also differences, revealing the need for further research in developing a theory of model design.

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“…A fase de preparac ¸ão envolve selecionar, limpar e transformar os dados que serão usados para o projeto. Nessa fase, é decidido se será usado todo o conjunto de dados ou um subconjunto para conter determinadas colunas e linhas [Saltz 2021]. O primeiro processo foi a criac ¸ão de uma nova coluna com a nota média dos participantes, pois o conjunto de dados só possuía as médias de cada uma das áreas de conhecimento.…”

Section: Preparac ¸ãO Dos Dadosunclassified

Análise Exploratória de Dados para Identificar o Impacto da Pandemia da COVID-19 no ENEM dos Estados do Ceará, Maranhão e Piauí

Neto

Soares

Coutinho

et al. 2022

Anais Da X Escola Regional De Computação Do Ceará, Maranhão E Piauí (ERCEMAPI 2022)

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No Brasil, o principal exame de avaliação do desempenho educacional do ensino básico é o Exame Nacional do Ensino Médio (ENEM), o qual é também usado para entrada de estudantes no ensino superior. No ano de 2020, com a chegada do vírus da COVID-19, as instituições de nível básico precisaram alterar seu modelo educacional com ensino presencial para o uso de metodologias de ensino remoto. Este trabalho objetiva identificar os principais impactos causados pela pandemia no ENEM nos estados do Ceará, Maranhão e Piauí, no seu primeiro ano. Para isso, é realizado uma análise exploratória de dados do ENEM de 2019, ano anterior ao início da pandemia, e do ENEM de 2020, primeiro ano da pandemia. Os resultados mostram uma melhora no desempenho geral dos estados, um aumento no número de inscritos que não compareceram à prova, e um crescimento da desigualdade entre os participantes provenientes de instituições públicas e privadas.

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CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps

Cited by 36 publications

References 15 publications

Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm

Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm

Modelling the Design of Models: An Example Using Crisp-Dm

Análise Exploratória de Dados para Identificar o Impacto da Pandemia da COVID-19 no ENEM dos Estados do Ceará, Maranhão e Piauí

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