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Year of publication
Subject
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Machine learning 18 Deep learning 14 Text mining 13 Data mining 9 Sentiment analysis 7 Social media 7 Big data 6 Knowledge management 6 BERT 5 CNN 5 COVID-19 5 Classification 5 Neural network 5 Ontology 5 Transfer learning 5 Clustering 4 Deep belief network 4 LSTM 4 Topic model 4 Attention mechanism 3 Convolutional neural network 3 Data analysis 3 Data science 3 Decision tree 3 ECG 3 GWO 3 Latent Dirichlet allocation 3 Literature review 3 Natural language processing 3 Optimization 3 Random forest 3 Recommender system 3 Recommender systems 3 Recurrent neural network 3 Regression 3 Review helpfulness 3 Social network 3 Social network analysis 3 Topic detection 3 Twitter 3
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Online availability
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Undetermined 243 Free 6 CC license 5
Type of publication
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Article 249
Type of publication (narrower categories)
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research-article 231 review 9 technical-paper 4 back-matter 2 case-report 2 editorial 1
Language
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English 249
Author
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Nagwani, Naresh Kumar 5 Pereira, Valdecy 5 Arasteh, Bahman 4 Bao, Zheshi 3 Du, Xu 3 Idri, Ali 3 Janghel, Rekh Ram 3 Lee, Changro 3 Sisodia, Dilip Singh 3 Swetapadma, Aleena 3 Wang, Bin 3 Wang, Hei-Chia 3 Zhang, Qian 3 Abbasi, Amir Zaib 2 Abu Bakar, Azuraliza 2 Alhalabi, Wadee 2 Basilio, Marcio Pereira 2 Bhattacharya, Riju 2 D, Binu 2 Dang, Depeng 2 Garoufallou, Emmanouel 2 Hung, Jui-Long 2 Jeon, Jeonghwan 2 Khalid, Shah 2 Kim, Jaekyeong 2 Li, Ming 2 Li, Qinglong 2 Li, Tingting 2 Liu, Duen-Ren 2 P, Vijaya 2 Park, Jaeseung 2 Roman, Dumitru 2 Sahu, Satya Prakash 2 Schöpfel, Joachim 2 Singh, Lokesh 2 Sinha, Prashant Kumar 2 Sisodia, Deepti 2 Siyal, Abdul Waheed 2 Soylu, Ahmet 2 Suh, Yongmoo 2
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Data Technologies and Applications 249
Source
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Other ZBW resources 249
Showing 121 - 130 of 249
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Recognition and labeling of faults in wind turbines with a density-based clustering algorithm
Luo, Shuai; Liu, Hongwei; Qi, Ershi - In: Data Technologies and Applications 55 (2021) 5, pp. 841-868
Purpose The purpose of this paper is to recognize and label the faults in wind turbines with a new density-based clustering algorithm, named contour density scanning clustering (CDSC) algorithm. Design/methodology/approach The algorithm includes four components: (1) computation of neighborhood...
Persistent link: https://www.econbiz.de/10014712752
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The influence of public health information sharing on social media during the early COVID-19 outbreak
Chen, Chiao-Chieh; Chiu, Yu-Ping - In: Data Technologies and Applications 56 (2021) 2, pp. 161-171
Purpose Social 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 of network cluster and transmitter activity on information sharing process. Design/methodology/approach Data were...
Persistent link: https://www.econbiz.de/10014712753
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Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment
Vinolin, V.; Sucharitha, M. - In: Data Technologies and Applications 56 (2021) 1, pp. 103-131
Purpose With 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 images, can be created without leaving any visual clues about the alteration in the image. Image forensic field has...
Persistent link: https://www.econbiz.de/10014712770
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Attack detection in medical Internet of things using optimized deep learning: enhanced security in healthcare sector
Aruna Santhi, J; Vijaya Saradhi, T - In: Data Technologies and Applications 55 (2021) 5, pp. 682-714
Purpose This paper tactics to implement the attack detection in medical Internet of things (IoT) devices using improved deep learning architecture for accomplishing the concept bring your own device (BYOD). Here, a simulation-based hospital environment is modeled where many IoT devices or...
Persistent link: https://www.econbiz.de/10014712771
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An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science
Roman, Dumitru; Reeves, Neal; Gonzalez, Esteban; … - In: Data Technologies and Applications 55 (2021) 5, pp. 622-642
Purpose Citizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major challenges, such as quality and consistency, to reap open the full potential...
Persistent link: https://www.econbiz.de/10014712772
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ELECTRE tree: a machine learning approach to infer ELECTRE Tri-B parameters
Montenegro de Barros, Gabriela Montenegro; Pereira, Valdecy - In: Data Technologies and Applications 55 (2021) 4, pp. 586-608
Purpose This paper presents an algorithm that can elicitate (infer) all or any combination of elimination and choice expressing reality (ELECTRE) Tri-B parameters. For example, a decision maker can maintain the values for indifference, preference and veto thresholds, and the study’s algorithm...
Persistent link: https://www.econbiz.de/10014712773
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A scalable eigenspace-based fuzzy c-means for topic detection
Murfi, Hendri - In: Data Technologies and Applications 55 (2021) 4, pp. 527-541
Purpose The aim of this research is to develop an eigenspace-based fuzzy c-means method for scalable topic detection. Design/methodology/approach The eigenspace-based fuzzy c-means (EFCM) combines representation learning and clustering. The textual data are transformed into a lower-dimensional...
Persistent link: https://www.econbiz.de/10014712781
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Internet public opinion dissemination mechanism of COVID-19: evidence from the Shuanghuanglian event
Zhang, Xing; Zhou, Yan; Zhou, Fuli; Pratap, Saurabh - In: Data Technologies and Applications 56 (2021) 2, pp. 283-302
Purpose The 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 emergencies is of great significance for creating a legalized network environment, and it is also helpful for...
Persistent link: https://www.econbiz.de/10014712782
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Using pretraining and text mining methods to automatically extract the chemical scientific data
Pang, Na; Qian, Li; Lyu, Weimin; Yang, Jin-Dong - In: Data Technologies and Applications 56 (2021) 2, pp. 205-222
Purpose In 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 extracted by domain experts manually. The loss of scientific data does not contribute to in-depth and innovative...
Persistent link: https://www.econbiz.de/10014712783
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M-GAN-XGBOOST model for sales prediction and precision marketing strategy making of each product in online stores
Wang, Song; Yang, Yang - In: Data Technologies and Applications 55 (2021) 5, pp. 749-770
Purpose The rapid development of e-commerce has brought not only great convenience to people but a great challenge to online stores. Phenomenon such as out of stock and slow sales has been common in recent years. These issues can be managed only when the occurrence of the sales volume is...
Persistent link: https://www.econbiz.de/10014712784
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