Data Technologies and Applications: Volume 56 Issue 3

Deep learning-based detection of tax frauds: an application to property acquisition tax

Changro Lee

Sampling taxpayers for audits has always been a major concern for policymakers of tax administration. The purpose of this study is to propose a systematic method to select a small…

Decision tree-based classification in coastal area integrating polarimetric SAR and optical data

Yuanyuan Chen, Xiufeng He, Jia Xu, Lin Guo, Yanyan Lu, Rongchun Zhang

As one of the world's most productive ecosystems, ecological land plays an important role in regional and global environments. Utilizing advanced optical and synthetic aperture…

A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia

Maren Parnas Gulnes, Ahmet Soylu, Dumitru Roman

Neuroscience data are spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats and often have no connection to the related…

An improved density-based approach to risk assessment on railway investment

Jingwei Guo, Ji Zhang, Yongxiang Zhang, Peijuan Xu, Lutian Li, Zhongqi Xie, Qinglin Li

Density-based spatial clustering of applications with noise (DBSCAN) is the most commonly used density-based clustering algorithm, while it cannot be directly applied to the…

A novel semi-supervised self-training method based on resampling for Twitter fake account identification

Ziming Zeng, Tingting Li, Shouqiang Sun, Jingjing Sun, Jie Yin

Twitter fake accounts refer to bot accounts created by third-party organizations to influence public opinion, commercial propaganda or impersonate others. The effective…

Data repair of density-based data cleaning approach using conditional functional dependencies

Samir Al-Janabi, Ryszard Janicki

Data quality is a major challenge in data management. For organizations, the cleanliness of data is a significant problem that affects many business activities. Errors in data…

A robust framework for shoulder implant X-ray image classification

Minh Thanh Vo, Anh H. Vo, Tuong Le

Medical images are increasingly popular; therefore, the analysis of these images based on deep learning helps diagnose diseases become more and more essential and necessary…