Data Technologies and Applications: Volume 56 Issue 5

3MO-AHP: an inconsistency reduction approach through mono-, multi- or many-objective quality measures

Carla Martins Floriano, Valdecy Pereira, Brunno e Souza Rodrigues

Although the multi-criteria technique analytic hierarchy process (AHP) has successfully been applied in many areas, either selecting or ranking alternatives or to derive priority…

Text mining the mission statements of the most ethical companies

Tuncay Bayrak

This paper explores and examines the mission statements of the most ethical companies across the globe in terms of their main purposes, values, goals, and objective, and what they…

Ranking the ontology development methodologies using the weighted decision matrix

Prashant Kumar Sinha, Biswanath Dutta, Udaya Varadarajan

The current work provides a framework for the ranking of ontology development methodologies (ODMs).

Credit default swap prediction based on generative adversarial networks

Shu-Ying Lin, Duen-Ren Liu, Hsien-Pin Huang

Financial price forecast issues are always a concern of investors. However, the financial applications based on machine learning methods mainly focus on stock market predictions…

A collaborative trend prediction method using the crowdsourced wisdom of web search engines

Ze-Han Fang, Chien Chin Chen

The purpose of this paper is to propose a novel collaborative trend prediction method to estimate the status of trending topics by crowdsourcing the wisdom in web search engines…

An Argentine ant system algorithm for partial set covering problem

Xiaofan Liu, Yupeng Zhou, Minghao Yin, Shuai Lv

The paper aims to provide an efficient meta-heuristic algorithm to solve the partial set covering problem (PSCP). With rich application scenarios, the PSCP is a fascinating and…

Utility optimization-based multi-stakeholder personalized recommendation system

Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani

In a multi-stakeholder recommender system (MSRS), stakeholders are the multiple entities (consumer, producer, system, etc.) benefited by the generated recommendations…

A deep neural networks-based fusion model for COVID-19 rumor detection from online social media

Heng-yang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang

The COVID-19 has become a global pandemic, which has caused large number of deaths and huge economic losses. These losses are not only caused by the virus but also by the related…