Data Technologies and Applications

Understanding customer behavior by mapping complaints to personality based on social media textual data

Andry Alamsyah, Fadiah Nadhila, Nabila Kalvina Izumi

Technology serves as a key catalyst in shaping society and the economy, significantly altering customer dynamics. Through a deep understanding of these evolving behaviors, a…

A systematic review of the use of FHIR to support clinical research, public health and medical education

João Pavão, Rute Bastardo, Nelson Pacheco Rocha

This systematic review aimed to identify and categorize applications using Fast Healthcare Interoperability Resources (FHIR) to support activities outside of direct healthcare…

A comparative analysis of job satisfaction prediction models using machine learning: a mixed-method approach

Jaekyeong Kim, Pil-Sik Chang, Sung-Byung Yang, Ilyoung Choi, Byunghyun Lee

Because the food service industry is more dependent on customer contact and human resources than other industries, it is crucial to understand the factors influencing employee job…

Novel framework for learning performance prediction using pattern identification and deep learning

Cheng-Hsiung Weng, Cheng-Kui Huang

Educational data mining (EDM) discovers significant patterns from educational data and thus can help understand the relations between learners and their educational settings…

Analysis of CEO career patterns using machine learning: taking US university graduates as an example

Chia Yu Hung, Eddie Jeng, Li Chen Cheng

This study explores the career trajectories of Chief Executive Officers (CEOs) to uncover unique characteristics that contribute to their success. By utilizing web scraping and…

Assessing the alignment of corporate ESG disclosures with the UN sustainable development goals: a BERT-based text analysis

Hyogon Kim, Eunmi Lee, Donghee Yoo

This study aims to provide measurable information that evaluates a company’s ESG performance based on the conceptual connection between ESG, non-financial elements of a company…

A knowledge graph analysis tool of people and organizations to facilitate digital humanities research

Chih-Ming Chen, Barbara Witt, Chun-Yu Lin

To support digital humanities research more effectively and efficiently, this study develops a novel Knowledge Graph Analysis Tool of People and Organizations (KGAT-PO) for the…

MD-LDA: a supervised LDA topic model for identifying mechanism of disease in TCM

Meiwen Li, Liye Xia, Qingtao Wu, Lin Wang, Junlong Zhu, Mingchuan Zhang

In traditional Chinese medicine (TCM), the mechanism of disease (MD) constitutes an essential element of syndrome differentiation and treatment, elucidating the mechanisms…

Early identification of high attention content for online mental health community users based on multi-level fusion model

Song Wang, Ying Luo, Xinmin Liu

The overload of user-generated content in online mental health community makes the focus and resonance tendencies of the participating groups less clear. Thus, the purpose of this…

Efficient software mutation test by clustering the single-line redundant mutants

Bahman Arasteh, Ali Ghaffari

Reducing the number of generated mutants by clustering redundant mutants, reducing the execution time by decreasing the number of generated mutants and reducing the cost of…

Practice challenge recommendations in online judge using implicit rating extraction and utility sequence patterns

Ramesh P Natarajan, Kannimuthu S, Bhanu D

The existing traditional recommendations based on content-based filtering (CBF), collaborative filtering (CF) and hybrid approaches are inadequate for recommending practice…

Tracking the size of the estimation window in time-series data

Tae Yeon Kwon

This paper introduces a novel method, Variance Rule-based Window Size Tracking (VR-WT), for deriving a sequence of estimation window sizes. This approach not only identifies…

A novel similarity measure SF-IPF for CBKNN with implicit feedback data

Rajalakshmi Sivanaiah, Mirnalinee T T, Sakaya Milton R

The increasing popularity of music streaming services also increases the need to customize the services for each user to attract and retain customers. Most of the music streaming…

A novel neural network architecture and cross-model transfer learning for multi-task autonomous driving

Youwei Li, Jian Qu

The purpose of this research is to achieve multi-task autonomous driving by adjusting the network architecture of the model. Meanwhile, after achieving multi-task autonomous…

Application of deep learning model incorporating domain knowledge in international migration forecasting

Tongzheng Pu, Chongxing Huang, Haimo Zhang, Jingjing Yang, Ming Huang

Forecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory…