Search academic resources

To solve the problem of lack of market insight and insufficient innovation creativity in entrepreneurship of college students, this paper aims to explore the application of data mining and predictive analysis technology ...

"In each of the phases of a Big Data analysis process, data quality (DQ) plays a key role. Given the particular characteristics of the data at hand, the traditional DQ methods used for relational databases, based on qual...

Abstract This study provides a bibliometric overview of the first decade of the Journal of Big Data (JBD) since its launch in 2014. Using bibliographic records for 1,023 articles and reviews indexed in Scopus (2014–202...

Abstract Background Health assessment instruments are essential for individual health monitoring, yet most existing tools rely on periodic surveys and lack the capacity to integrate large-scale digital health data. With ...

RESUMO Como ferramenta de prova e ferramenta de governo, a Estatística desempenhou papéis fundamentais no desenvolvimento da ciência, nos modos de ação do Estado, e em vários ramos da economia. O desenvolvimento da...

The rapid proliferation of digital devices has generated vast amounts of data, presenting significant challenges in collection, processing, and analysis that traditional systems struggle to overcome. This study investiga...

The rapid expansions of artificial intelligence (AI), big data (BD), and information and communication technologies (ICT) are driving substantial growth in electricity, water, and material demands, with data centers proj...

Resumen El crecimiento exponencial del almacenaje y explotación de los datos, denominado Big Data, dado por las tecnologías de mediación digital, enfrenta fuertes limitaciones. El problema de la calidad de los datos e...

IntroductionThis study examines the impact of Customer Big Data Analytics (CBDA) on customer satisfaction and firm performance in business-to-business (B2B) firms operating in emerging markets, specifically Pakistan. Des...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

The Indonesian Navy organization has the duties and responsibilities of state sovereignty. In carrying out its duties, very large and large data and real time data include data on ships in all Indonesian waters from sate...

Imbalanced data is an important issues and challenges faced in data classification. This will lead to poor performance of binary classifiers, this is due to bias in classification in favour of the majority class and lack...

Abstract This study presents a Quantum-Enhanced Firefly Algorithm (QFA)-based multi-level image annotation framework that integrates advanced Otsu thresholding, region-based feature extraction, and Bayesian multi-label c...

Abstract The development of a battery management algorithm is highly dependent on high-quality battery operation data, especially the data in extreme conditions such as low temperatures. The data in faults are also essen...

Abstract Cardiovascular disease remains the leading cause of death and disability worldwide. The convergence of big data and artificial intelligence (AI) is reshaping precision cardiovascular medicine through multimodal ...

Today many companies are collecting and extracting data from different sources to help them with their strategic decision-making. Big data is the basis of data-driven economy, bringing significant competitive advantage a...

Abstract Background Policy makers need access to reliable data to monitor and evaluate the progress of development outcomes and targets such as sustainable development outcomes (SDGs). However, significant data and evide...

En este trabajo, nos proponemos analizar —a partir de la palabra virus como interfaz entre campos— algunas de las propuestas de William Burroughs en La revolución electrónica (1970). Nos preguntamos por los nuevos ...

The quantity of physiological data has grown exponentially, yielding insights into mechanisms of phenotypic and disease pathways. Among the powerful tools for physiological omics is the study of RNA, where broad sequenci...

"In each of the phases of a Big Data analysis process, Data Quality (DQ) plays a key role. Given the particular characteristics of the data at hand, the traditional DQ methods, based on quality dimensions and metrics, mu...

"En cada una de las fases del análisis en los procesos relacionados a Big Data, la calidad de datos juega un papel importante. La obtención de la calidad de datos, basados en las dimensiones de la calidad y métricas, ...

Trabajo Final de Práctica Profesional El presente trabajo tiene como principal objetivo conocer mediante estudios de casos como se está desarrollando y desempeñando el uso de Big Data en startups argentinas relacionad...

Abstract Big data on product sales are an emerging resource for supporting modular product design to meet diversified customers’ requirements of product specification combinations. To better facilitate decision-making ...

In this study, we concentrate on modelling gross primary productivity using two simple approaches to simulate canopy photosynthesis: "big leaf" and "sun/shade" models. Two approaches for calibration are used: scaling up ...