Data Technologies and Applications: Volume 58 Issue 3

Construction of public security indicators based on characteristics of shared group behavior patterns

XiYue Deng, Xiaoming Li, Zhenzhen Chen, Mengli Zhu, Naixue Xiong, Li Shen

Human group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points…

Machine learning methods for results merging in patent retrieval

Vasileios Stamatis, Michail Salampasis, Konstantinos Diamantaras

In federated search, a query is sent simultaneously to multiple resources and each one of them returns a list of results. These lists are merged into a single list using the…

TMsDP: two-stage density peak clustering based on multi-strategy optimization

Jie Ma, Zhiyuan Hao, Mo Hu

The density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and…

Topic optimization–incorporated collaborative recommendation for social tagging

Xuwei Pan, Xuemei Zeng, Ling Ding

With the continuous increase of users, resources and tags, social tagging systems gradually present the characteristics of “big data” such as large number, fast growth, complexity…

Deep understanding of radiology reports: leveraging dynamic convolution in chest X-ray images

Tarun Jaiswal, Manju Pandey, Priyanka Tripathi

The purpose of this study is to investigate and demonstrate the advancements achieved in the field of chest X-ray image captioning through the utilization of dynamic convolutional…

Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA)

B. Vasavi, P. Dileep, Ulligaddala Srinivasarao

Aspect-based sentiment analysis (ASA) is a task of sentiment analysis that requires predicting aspect sentiment polarity for a given sentence. Many traditional techniques use…

A hybrid method for forecasting coal price based on ensemble learning and deep learning with data decomposition and data enhancement

Jing Tang, Yida Guo, Yilin Han

Coal is a critical global energy source, and fluctuations in its price significantly impact related enterprises' profitability. This study aims to develop a robust model for…

Understanding the relationship between normative records of appeals and government hotline order dispatching: a data analysis method

Zicheng Zhang

Advanced big data analysis and machine learning methods are concurrently used to unleash the value of the data generated by government hotline and help devise intelligent…

On the differences between CNNs and vision transformers for COVID-19 diagnosis using CT and chest x-ray mono- and multimodality

Sara El-Ateif, Ali Idri, José Luis Fernández-Alemán

COVID-19 continues to spread, and cause increasing deaths. Physicians diagnose COVID-19 using not only real-time polymerase chain reaction but also the computed tomography (CT…