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  1. Há 5 dias · O Cross Industry Standard Process for Data Mining, ou traduzindo “Processo padrão da indústria para mineração de dados cruzados”. Criado há aproximadamente 20 anos, o Crisp-DM é o método utilizado para desenvolver machine learning, sendo utilizado para contornar problemas com BIG Data e ser capaz de trazer insights sobre ...

  2. Há 5 dias · Utilizing a CRISP-DM framework within the mixed methods research methodology , this thesis examines the practical implementation of predictive maintenance by analyzing historical data and conducting qualitative research through workshops and literature review.

  3. Há 2 dias · This research investigates the effectiveness of music-video content as a tool for tourism destination marketing, employing the CRISP-DM framework to approach data collection, analysis, and interpretation systematically.

  4. Há 1 dia · We also used terms that are similar to those used in CRISP-DM, as some of the terms are sub-tasks in CRISP-DM. For example, data collection is a component of data understanding. Our research reveals a startling omission in the landscape of patent analytics: the absence of emphasis on “ Business Understanding ” and “ Data Understanding ”.

  5. Há 4 dias · The CRISP-DM model also includes a hierarchical and iterative approach, allowing for flexibility in its application. 37 For example, It has been extended to address specific challenges in various domains, such as medicine 38 and machine learning. 39 These extensions provide a more detailed framework for conducting data mining analysis in these specialized fields.

  6. Há 2 dias · The project follows the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework, which includes the following phases: Business Understanding: Define objectives and understand the importance of predicting house prices.

  7. Há 4 dias · CRISP-DM traduzido como Processo. Padrão Inter-Indústrias para. Mineração de Dados é um modelo de. processo (framework) que descreve. abordagens comumente usadas por. especialistas em mineração de dados. para atacar problemas. Ci clo Anal íti co. Mais recentemente, a Microsoft expandiu.