Data Technologies and Applications
Issue(s) available: 18 – From Volume: 52 Issue: 1, to Volume: 55 Issue: 5
A novel semi-supervised self-training method based on resampling for Twitter fake account identification
Ziming Zeng, Tingting Li, Shouqiang Sun, Jingjing Sun, Jie YinTwitter fake accounts refer to bot accounts created by third-party organizations to influence public opinion, commercial propaganda or impersonate others. The effective…
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Data repair of density-based data cleaning approach using conditional functional dependencies
Samir Al-Janabi, Ryszard JanickiData 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…
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A robust framework for shoulder implant X-ray image classification
Minh Thanh Vo, Anh H. Vo, Tuong LeMedical images are increasingly popular; therefore, the analysis of these images based on deep learning helps diagnose diseases become more and more essential and…
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Using pretraining and text mining methods to automatically extract the chemical scientific data
Na Pang, Li Qian, Weimin Lyu, Jin-Dong YangIn computational chemistry, the chemical bond energy (pKa) is essential, but most pKa-related data are submerged in scientific papers, with only a few data that have been…
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A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia
Maren Parnas Gulnes, Ahmet Soylu, Dumitru RomanNeuroscience 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…
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Internet public opinion dissemination mechanism of COVID-19: evidence from the Shuanghuanglian event
Xing Zhang, Yan Zhou, Fuli Zhou, Saurabh PratapThe sudden outbreak of COVID-19 has become a major public health emergency of global concern. Studying the Internet public opinion dissemination mechanism of public health…
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An improved density-based approach to risk assessment on railway investment
Jingwei Guo, Ji Zhang, Yongxiang Zhang, Peijuan Xu, Lutian Li, Zhongqi Xie, Qinglin LiDensity-based spatial clustering of applications with noise (DBSCAN) is the most commonly used density-based clustering algorithm, while it cannot be directly applied to…
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Decision tree-based classification in coastal area integrating polarimetric SAR and optical data
Yuanyuan Chen, Xiufeng He, Jia Xu, Lin Guo, Yanyan Lu, Rongchun ZhangAs one of the world's most productive ecosystems, ecological land plays an important role in regional and global environments. Utilizing advanced optical and synthetic…
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The influence of public health information sharing on social media during the early COVID-19 outbreak
Chiao-Chieh Chen, Yu-Ping ChiuSocial media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects…
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Deep learning-based detection of tax frauds: an application to property acquisition tax
Changro LeeSampling 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…
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Contour- and Texture-based analysis for victim identification in forensic odontology
G. Jaffino, J. Prabin JoseForensic dentistry is the application of dentistry in legal proceedings that arise from any facts relating to teeth. The ultimate goal of forensic odontology is to…
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Using the playful consumption experience model to uncover behavioral intention to play Multiplayer Online Battle Arena (MOBA) games
Amir Zaib Abbasi, Umair Rehman, Muhammad Shahzeb Fayyaz, Ding Hooi Ting, Muhammad Umair Shah, Ramsha FatimaPlaying video gaming is one of the most popular forms of leisure activities. This study looks into a specific video game genre, under the category of Multiplayer Online…
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A review of data mining ontologies
Prashant Kumar Sinha, Sagar Bhimrao Gajbe, Sourav Debnath, Subhranshubhusan Sahoo, Kanu Chakraborty, Shiva Shankar MahatoThis work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the…
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Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach
Nageswara Rao Eluri, Gangadhara Rao Kancharla, Suresh Dara, Venkatesulu DondetiGene selection is considered as the fundamental process in the bioinformatics field. The existing methodologies pertain to cancer classification are mostly clinical basis…
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Analyzing online discussion data for understanding the student's critical thinking
Juan Yang, Xu Du, Jui-Long Hung, Chih-hsiung TuCritical thinking is considered important in psychological science because it enables students to make effective decisions and optimizes their performance. Aiming at the…
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Constructing economic taxonomy reflecting firm relationships based on news reports
Zhi Zhou, Xiangming Mu, Xin LinThis paper aims to propose a novel approach to constructing an economic taxonomy that demonstrates the complex relationships between firms, which are not fully revealed by…
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Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment
V. Vinolin, M. SucharithaWith the advancements in photo editing software, it is possible to generate fake images, degrading the trust in digital images. Forged images, which appear like authentic…
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An assessment of noise variance estimations in Bayes threshold denoising under stationary wavelet domain on brain lesions and tumor MRIs
Papangkorn Pidchayathanakorn, Siriporn SupratidA major key success factor regarding proficient Bayes threshold denoising refers to noise variance estimation. This paper focuses on assessing different noise variance…
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Conversational interfaces for unconventional access to business relational data structures
Pavel Kostelník, František DařenaCurrent possibilities of accessing business data by regular users usually involve complicated user interfaces or require technical expertise. This results in situations…
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Transfer learning for hostel image classification
Chanattra Ammatmanee, Lu GanBecause of the fast-growing digital image collections on online platforms and the transfer learning ability of deep learning technology, image classification could be…
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Applying sentiment analytics to examine social media crises: a case study of United Airline's crisis in 2017
Xin Tian, Wu He, Feng-Kwei WangIn recent years, social media crises occurred more and more often, which negatively affect the reputations of individuals, businesses and communities. During each crisis…
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Content analysis-based documentation and exploration of research articles
Shwe Sin PhyoWith the wealth of information available on the World Wide Web, it is difficult for anyone from a general user to the researcher to easily fulfill their information need…
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ISSN:
2514-9288Renamed from:
Program: electronic library and information systemsOnline date, start – end:
2018Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof Miguel-Ángel Sicilia-Urban
Further Information
