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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 91 - 100 of 249
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3MO-AHP: an inconsistency reduction approach through mono-, multi- or many-objective quality measures
Floriano, Carla Martins; Pereira, Valdecy; Rodrigues, … - In: Data Technologies and Applications 56 (2022) 5, pp. 645-670
Purpose 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 vector (weights) for a set of criteria, there is a significant drawback in using this technique if the...
Persistent link: https://www.econbiz.de/10014712788
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Mining the determinants of review helpfulness: a novel approach using intelligent feature engineering and explainable AI
Kim, Jiho; Lee, Hanjun; Lee, Hongchul - In: Data Technologies and Applications 57 (2022) 1, pp. 108-130
Purpose This paper aims to find determinants that can predict the helpfulness of online customer reviews (OCRs) with a novel approach. Design/methodology/approach The approach consists of feature engineering using various text mining techniques including BERT and machine learning models that can...
Persistent link: https://www.econbiz.de/10014712800
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Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers
Wang, Zhenyuan; Tsai, Chih-Fong; Lin, Wei-Chao - In: Data Technologies and Applications 55 (2021) 5, pp. 771-787
Purpose Class imbalance learning, which exists in many domain problem datasets, is an important research topic in data mining and machine learning. One-class classification techniques, which aim to identify anomalies as the minority class from the normal data as the majority class, are one...
Persistent link: https://www.econbiz.de/10014712610
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Self-efficacy and continuance intention of Web 2.0 platforms: a meta-analysis
Bao, Zheshi; Shang, Bo - In: Data Technologies and Applications 55 (2021) 4, pp. 511-526
Purpose Although many studies show that self-efficacy and continuance intention of Web 2.0 platforms are positively and significant correlated, others reveal some different findings. To clarify this line of research, this study further investigates the effect of self-efficacy on continuance...
Persistent link: https://www.econbiz.de/10014712621
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Predicting agricultural and livestock products purchases using the Internet search index and data mining techniques
Rho, Hoyoung; Choi, Keunho; Yoo, Donghee - In: Data Technologies and Applications 55 (2021) 5, pp. 788-809
Purpose This study identifies whether the Internet search index can be used as effective enough data to identify agricultural and livestock product demand and compare the accuracy of the prediction of major agricultural and livestock products purchases between these prediction models using...
Persistent link: https://www.econbiz.de/10014712623
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SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings
Lu, Heng-Yang; Zhang, Yi; Du, Yuntao - In: Data Technologies and Applications 55 (2021) 5, pp. 643-660
Purpose Topic model has been widely applied to discover important information from a vast amount of unstructured data. Traditional long-text topic models such as Latent Dirichlet Allocation may suffer from the sparsity problem when dealing with short texts, which mostly come from the Web. These...
Persistent link: https://www.econbiz.de/10014712624
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Transfer learning for hostel image classification
Ammatmanee, Chanattra; Gan, Lu - In: Data Technologies and Applications 56 (2021) 1, pp. 44-59
Purpose Because of the fast-growing digital image collections on online platforms and the transfer learning ability of deep learning technology, image classification could be improved and implemented for the hostel domain, which has complex clusters of image contents. This paper aims to test the...
Persistent link: https://www.econbiz.de/10014712625
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Using the playful consumption experience model to uncover behavioral intention to play Multiplayer Online Battle Arena (MOBA) games
Abbasi, Amir Zaib; Rehman, Umair; Fayyaz, Muhammad Shahzeb - In: Data Technologies and Applications 56 (2021) 2, pp. 223-246
Purpose Playing 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 Battle Arena (MOBA) games. The purpose of this research is to investigate the factors that lead to the consumption of...
Persistent link: https://www.econbiz.de/10014712626
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Population estimation using Twitter for a specific space
Hara, Hiroki; Fujita, Yoshikatsu; Tsuda, Kazuhiko - In: Data Technologies and Applications 55 (2021) 3, pp. 430-445
Purpose This paper aims to estimate the population in a specific space from the numbers of posted tweets and their senders, using Twitter's real-time property and location information data. Design/methodology/approach The population to be estimated was set to be the attendance at each game among...
Persistent link: https://www.econbiz.de/10014712647
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Effect of eWom on purchase intention: meta-analysis
Albayrak, Merve; Ceylan, Cemil - In: Data Technologies and Applications 55 (2021) 5, pp. 810-840
Purpose The aim of this research is to combine and synthesize the findings of previous studies search for the effects of eWom on purchase intention by meta-analysis. Design/methodology/approach The paper shows a meta-analysis process step by step. Within the scope of certain criteria, the...
Persistent link: https://www.econbiz.de/10014712649
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