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  • Search: isPartOf:"Data Technologies and Applications"
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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 41 - 50 of 249
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A meta-analysis of social commerce adoption and the moderating effect of culture
Wang, Ning; Zhao, Yang; Zhou, Ruoxin - In: Data Technologies and Applications 57 (2023) 4, pp. 537-561
Purpose As a derivative model of e-commerce, social commerce has received increasing attention in recent years. Empirical studies on social commerce have examined the key factors that influence users' attitudes or adoption intentions, but their conclusions are context-based and are not entirely...
Persistent link: https://www.econbiz.de/10014712774
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Chinese sentiment analysis model by integrating multi-granularity semantic features
Liu, Zhongbao; Zhao, Wenjuan - In: Data Technologies and Applications 57 (2023) 4, pp. 605-622
Purpose In recent years, Chinese sentiment analysis has made great progress, but the characteristics of the language itself and downstream task requirements were not explored thoroughly. It is not practical to directly migrate achievements obtained in English sentiment analysis to the analysis...
Persistent link: https://www.econbiz.de/10014712777
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Sentiment analysis of the Algerian social movement inception
Laifa, Meriem; Mohdeb, Djamila - In: Data Technologies and Applications 57 (2023) 5, pp. 734-755
Purpose This study provides an overview of the application of sentiment analysis (SA) in exploring social movements (SMs). It also compares different models for a SA task of Algerian Arabic tweets related to early days of the Algerian SM, called Hirak. Design/methodology/approach Related tweets...
Persistent link: https://www.econbiz.de/10014712778
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Blockchain solutions for scientific paper peer review: a systematic mapping of the literature
Farias Fávaro, Allan; Marcelino, Roderval; Cechinel, … - In: Data Technologies and Applications 58 (2023) 2, pp. 214-242
Purpose This paper presents a review of the state of the art on the application of blockchain and smart contracts to the peer-review process of scientific papers. The paper seeks to analyse how the main characteristics of the existing blockchain solutions in this field to detect opportunities...
Persistent link: https://www.econbiz.de/10015342694
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Analysis of automated guided vehicles performance based on process mining techniques
Ramos-Soto, Alejandro; Dacal-Nieto, Angel; Martín … - In: Data Technologies and Applications 58 (2023) 2, pp. 280-292
Purpose Process mining has emerged in the last decade as one of the most promising tools to discover and understand the actual execution of processes. This paper addresses the application of process mining techniques to analyze the performance of automatic guided vehicles (AGVs) in one of the...
Persistent link: https://www.econbiz.de/10015342697
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Machine learning approaches for prediction of ovarian cancer driver genes from mutational and network analysis
Wadapurkar, Rucha; Bapat, Sanket; Mahajan, Rupali; … - In: Data Technologies and Applications 58 (2023) 1, pp. 62-80
Purpose Ovarian cancer (OC) is the most common type of gynecologic cancer in the world with a high rate of mortality. Due to manifestation of generic symptoms and absence of specific biomarkers, OC is usually diagnosed at a late stage. Machine learning models can be employed to predict driver...
Persistent link: https://www.econbiz.de/10015342698
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CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method
Wang, Hei-Chia; Maslim, Martinus; Liu, Hung-Yu - In: Data Technologies and Applications 58 (2023) 2, pp. 243-266
Purpose A clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content. There are numerous negative repercussions of clickbait, such as causing viewers to feel tricked and unhappy, causing long-term confusion, and even attracting cyber criminals....
Persistent link: https://www.econbiz.de/10015342700
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AsCDPR: a novel framework for ratings and personalized preference hotel recommendation using cross-domain and aspect-based features
Wang, Hei-Chia; Justitia, Army; Wang, Ching-Wen - In: Data Technologies and Applications 58 (2023) 2, pp. 293-317
Purpose The explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about previous hotel guests' experiences. They prioritize the rating score when selecting a hotel. However, rating scores are less reliable for...
Persistent link: https://www.econbiz.de/10015342703
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A novel word-graph-based query rewriting method for question answering
Yan, Rongen; Dang, Depeng; Gao, Hu; Wu, Yan; Yu, Wenhui - In: Data Technologies and Applications 58 (2023) 1, pp. 1-23
Purpose Question answering (QA) answers the questions asked by people in the form of natural language. In the QA, due to the subjectivity of users, the questions they query have different expressions, which increases the difficulty of text retrieval. Therefore, the purpose of this paper is to...
Persistent link: https://www.econbiz.de/10015342704
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Risk assessment in machine learning enhanced failure mode and effects analysis
Wang, Zeping; Du, Hengte; Tao, Liangyan; Javed, Saad Ahmed - In: Data Technologies and Applications 58 (2023) 1, pp. 95-112
Purpose The traditional failure mode and effect analysis (FMEA) has some limitations, such as the neglect of relevant historical data, subjective use of rating numbering and the less rationality and accuracy of the Risk Priority Number. The current study proposes a machine learning–enhanced...
Persistent link: https://www.econbiz.de/10015342707
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