This study examines modelling with machine learning. In the context of a yearlong data science course, explores how upper secondary students apply learning Jupyter Notebooks and document process as computational essay incorporating different steps CRISP-DM cycle. The students’ work is based on teaching module about decision trees in worked example such process. outlines performance carrying out...

Abstract This paper reports on a design science research (DSR) study that develops principles for “green” – more environmentally sustainable data mining processes. Grounded in the Cross Industry Standard Process Data Mining (CRISP-DM) and review of relevant literature methods, Green IT, IS, identifies eight fall into three categories reuse, reduce, support. The an evaluation strategy provides e...

Este trabalho estuda a identificação de tweets homofóbicos, utilizando uma abordagem processamento linguagem natural e aprendizado máquina. A metodologia mineração dados aplicada neste foi CRISP-DM. O objetivo é construir um modelo preditivo que possa detectar, com razoável precisão, se Tweet contém conteúdo ofensivo indivíduos da comunidade LGBTQIA+ ou não. banco utilizado para treinar os mode...

The surge in the amount of available data in health care enables a novel, exploratory research approach that revolves around finding new knowledge and unexpected hypotheses from data instead of carrying out well-defined data analysis tasks. We propose a specification of the Cross Industry Standard Process for Data Mining (CRISP-DM), suitable for conducting expert sessions that focus on finding ...

A fuzzy option prioritization technique is developed to efficiently model uncertain preferences of DMs in strategic conflicts as fuzzy preferences by using the decision makers’ (DMs’) fuzzy truth values of preference statements at feasible states within the framework of the Graph Model for Conflict Resolution. The preference statements of a DM express desirable combinations of options or course...

Este estudio analiza la viabilidad de automatizar el proceso compra y venta acciones en Bolsa Valores Ecuador, para democratizar acceso al mercado, mediante metodología minería datos CRISP-DM. Se parte un análisis del modelo negocio las casas valores locales otros países, que depende principalmente comisiones, sugiere automatización podría tener impacto significativo sector. Con software estadí...

Data preparation is crucial for the validity of the resulting data model and its subsequent successful application. The paper presents a preprocessing of the data on the behavior of students on social media sites using the CRISP-DM methodology. Data was collected through questioner shared among prospect students of Faculty of Economics Subotica. This has created an adequate platform for the imp...

The direct-marketing business process applied in Slovenian publishing company was inefficient because of inadequate procedure used to create a list of potential customers for a marketing campaign. Considering the nature of the problem, data mining was selected to solve the problem. The company’s direct marketing business process was renovated based on the CRISP-DM methodology and by using data ...

Large Volume of Data is growing because the organizations are continuously capturing the collective amount of data for better decision-making process. The most fundamental challenge is to explore the large volumes of data and extract useful knowledge for future actions through data mining and data science methodologies. Nevertheless these not tackle the issues in data quality clearly, leaving o...