[HTML][HTML] A survey on dataset quality in machine learning
Y Gong, G Liu, Y Xue, R Li, L Meng - Information and Software Technology, 2023 - Elsevier
With the rise of big data, the quality of datasets has become a crucial factor affecting the
performance of machine learning models. High-quality datasets are essential for the …
performance of machine learning models. High-quality datasets are essential for the …
[HTML][HTML] Systematic review of data-centric approaches in artificial intelligence and machine learning
P Singh - Data Science and Management, 2023 - Elsevier
Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …
algorithms have been developed to improve the performance of AI-oriented structures …
How digitalization affects insurance companies: overview and use cases of digital technologies
C Eckert, K Osterrieder - Zeitschrift für die gesamte …, 2020 - Springer
The digital transformation is of increasing relevance for insurance companies' business
models. It leads to opportunities as well as challenges, especially for IT departments as core …
models. It leads to opportunities as well as challenges, especially for IT departments as core …
A blockchain-based trading system for big data
Data are an extremely important asset. Governments around the world encourage big data
sharing and trading to promote the big data economy. However, existing data trading …
sharing and trading to promote the big data economy. However, existing data trading …
An intelligent approach for data pre-processing and analysis in predictive maintenance with an industrial case study
Recent development in the predictive maintenance field has focused on incorporating
artificial intelligence techniques in the monitoring and prognostics of machine health. The …
artificial intelligence techniques in the monitoring and prognostics of machine health. The …
Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling
The popularity of big data analytics (BDA) has boosted the interest of organisations into
exploiting their large scale data. This technology can become a strategic stimulation for …
exploiting their large scale data. This technology can become a strategic stimulation for …
A blockchain-based trading platform for big data
Nowadays, data is an extremely important asset. Governments around the world encourage
big data sharing and trading to flourish the big data economics. However, existing data …
big data sharing and trading to flourish the big data economics. However, existing data …
Context-aware big data quality assessment: a scoping review
The term data quality refers to measuring the fitness of data regarding the intended usage.
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
Bigqa: Declarative big data quality assessment
In the big data domain, data quality assessment operations are often complex and must be
implementable in a distributed and timely manner. This article tries to generalize the quality …
implementable in a distributed and timely manner. This article tries to generalize the quality …
A comprehensive review on Big Data for industries: challenges and opportunities
Technological advancements in large industries like power, minerals, and manufacturing
are generating massive data every second. Big data techniques have opened up numerous …
are generating massive data every second. Big data techniques have opened up numerous …