With the availability of big data for food safety, more and more advanced data analysis
methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which …

Current food recommender systems tend to prioritize either the user's dietary preferences or
the healthiness of the food, without considering the importance of personalized health …

Exploring relationships in complex datasets is one of the challenges in today's big data era.
The graph-based visualization approach, which integrates the advantages of graph analysis …

Food safety risk prediction is crucial for timely hazard detection and effective control. This
study proposes a novel risk prediction method for food safety called TabNet-GRA, which …

Food classification is an important part of food safety standards. In this paper, we propose a
novel visual comparative analysis method for food classification trees (FCTs) in pesticide …

Pesticide residue is a prominent factor that leads to food safety problems. For this reason,
many countries sample and detect pesticide residues in food every year, which generates a …

摘要随着检测技术的提高和互联网技术的广泛应用, 食品安全数据的规模不断增大,
类型不断增多, 对数据分析技术提出了极大挑战. 近年来出现的可视分析技术 …

The extensive range of food safety standards poses a significant challenge to efficiently
accessing specific information within this domain, necessitating innovative solutions to …

Hierarchical structures are very common in the real world for recording all kinds of relational
data generated in our daily life and business procedures. A very popular visualization …

With an increasing outreach of digital platforms in our lives, researchers have taken a keen
interest in studying different facets of social interactions. Analyzing the spread of information …