Open Access issue published by International Journal of Data Science

The International Journal of Data Science has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Design and transformation of the interior space for home-based care for the aged based on network security
• Intelligent construction of financial risk management system based on an e-commerce platform under the background of the Internet of Things
• Multilevel grey method for evaluating the exploitation potential of tourism resources based on machine learning
• Performance evaluation of enterprise blockchain financial sharing centre based on deep learning
• Green logistics network optimisation and carbon emission reduction using blockchain technology
• The emergency network public opinion risk identification and early warning model from BP neural network
• The analysis of image recognition for tourism cultural and creative products visual design based on deep learning
• Quantitative analysis of the influence of financial technology on enterprise financing structure based on machine learning
• Design of smart tourism information resource management system based on GIS and big data technology
• Research on the construction of intelligent outcome-based education platform driven by deep learning
• Application of intelligent algorithms in precise assessment and effect prediction of rural economic development policies
• The analysis of customer service quality evaluation of platform based on big data
• Study on English machine translation based on feature extraction algorithm and big data information technology
• Design of intelligent management system for tourist attractions based on IoT information technology
• Construction of implementation system for vocational education targeted training model based on BP neural network under the integration of industry and education
• Systemic construction of a machine learning-based tourist attraction recommendation model for tourism demand
• Real time performance prediction in sports using machine learning algorithms