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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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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 11 - 20 of 249
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Efficient software mutation test by clustering the single-line redundant mutants
Arasteh, Bahman; Ghaffari, Ali - In: Data Technologies and Applications 58 (2024) 5, pp. 807-837
Purpose 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 mutation testing are the main goals of this study. Design/methodology/approach In this study, a method is suggested...
Persistent link: https://www.econbiz.de/10015342705
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Early identification of high attention content for online mental health community users based on multi-level fusion model
Wang, Song; Luo, Ying; Liu, Xinmin - In: Data Technologies and Applications 58 (2024) 5, pp. 838-857
Purpose 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 paper is to build an early identification mechanism for users' high attention content to promote early...
Persistent link: https://www.econbiz.de/10015342709
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Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals
Mishra, Priya; Swetapadma, Aleena - In: Data Technologies and Applications 58 (2024) 4, pp. 575-589
Purpose Sleep arousal detection is an important factor to monitor the sleep disorder. Design/methodology/approach Thus, a unique n th layer one-dimensional (1D) convolutional neural network-based U-Net model for automatic sleep arousal identification has been proposed. Findings The proposed...
Persistent link: https://www.econbiz.de/10015342710
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A novel similarity measure SF-IPF for CBKNN with implicit feedback data
Sivanaiah, Rajalakshmi; T T, Mirnalinee; Milton R, Sakaya - In: Data Technologies and Applications 58 (2024) 5, pp. 742-767
Purpose 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 services will not have explicit ratings for songs; they will have only implicit feedback data, i.e user...
Persistent link: https://www.econbiz.de/10015342712
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A hybrid method for forecasting coal price based on ensemble learning and deep learning with data decomposition and data enhancement
Tang, Jing; Guo, Yida; Han, Yilin - In: Data Technologies and Applications 58 (2024) 3, pp. 472-495
Purpose Coal is a critical global energy source, and fluctuations in its price significantly impact related enterprises' profitability. This study aims to develop a robust model for predicting the coal price index to enhance coal purchase strategies for coal-consuming enterprises and provide...
Persistent link: https://www.econbiz.de/10015342713
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A novel neural network architecture and cross-model transfer learning for multi-task autonomous driving
Li, Youwei; Qu, Jian - In: Data Technologies and Applications 58 (2024) 5, pp. 693-717
Purpose 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 driving, the authors found that the trained neural network model performs poorly in untrained scenarios....
Persistent link: https://www.econbiz.de/10015342715
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False alarm detection in intensive care unit for monitoring arrhythmia condition using bio-signals
Swetapadma, Aleena; Manna, Tishya; Samami, Maryam - In: Data Technologies and Applications 58 (2024) 4, pp. 545-574
Purpose A novel method has been proposed to reduce the false alarm rate of arrhythmia patients regarding life-threatening conditions in the intensive care unit. In this purpose, the atrial blood pressure, photoplethysmogram (PLETH), electrocardiogram (ECG) and respiratory (RESP) signals are...
Persistent link: https://www.econbiz.de/10015342720
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Application of deep learning model incorporating domain knowledge in international migration forecasting
Pu, Tongzheng; Huang, Chongxing; Zhang, Haimo; Yang, … - In: Data Technologies and Applications 58 (2024) 5, pp. 787-806
Purpose Forecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory expertise and neural network technology can bring a fresh perspective to international migration forecasting...
Persistent link: https://www.econbiz.de/10015342721
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Community relations discovery methods for users in Fancircle based on sentiment analysis in China
Wang, Kai - In: Data Technologies and Applications 58 (2024) 4, pp. 632-651
Purpose The identification of network user relationship in Fancircle contributes to quantifying the violence index of user text, mining the internal correlation of network behaviors among users, which provides necessary data support for the construction of knowledge graph....
Persistent link: https://www.econbiz.de/10015342725
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Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models
Chen, Qiuying; Liu, Ronghui; Jiang, Qingquan; Xu, Shangyue - In: Data Technologies and Applications 58 (2024) 4, pp. 669-690
Purpose Tourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in product/service planning, marketing communication and attracting and retaining tourists. This research...
Persistent link: https://www.econbiz.de/10015342728
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