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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 101 - 110 of 249
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Conversational interfaces for unconventional access to business relational data structures
Kostelník, Pavel; Dařena, František - In: Data Technologies and Applications 56 (2021) 1, pp. 87-102
Purpose Current possibilities of accessing business data by regular users usually involve complicated user interfaces or require technical expertise. This results in situations when business owners are separated from their data. The aim of this research is to apply an innovative approach...
Persistent link: https://www.econbiz.de/10014712653
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Contour- and Texture-based analysis for victim identification in forensic odontology
Jaffino, G.; Prabin Jose, J. - In: Data Technologies and Applications 56 (2021) 1, pp. 146-160
Purpose Forensic 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 identify the individual when there are no other means of identification such as fingerprint, Deoxyribonucleic acid (DNA),...
Persistent link: https://www.econbiz.de/10014712654
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Analyzing online discussion data for understanding the student's critical thinking
Yang, Juan; Du, Xu; Hung, Jui-Long; Tu, Chih-hsiung - In: Data Technologies and Applications 56 (2021) 2, pp. 303-326
Purpose Critical thinking is considered important in psychological science because it enables students to make effective decisions and optimizes their performance. Aiming at the challenges and issues of understanding the student's critical thinking, the objective of this study is to analyze...
Persistent link: https://www.econbiz.de/10014712663
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A review of data mining ontologies
Sinha, Prashant Kumar; Gajbe, Sagar Bhimrao; Debnath, Sourav - In: Data Technologies and Applications 56 (2021) 2, pp. 172-204
Purpose This 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 ontologies for satisfactory coverage and usage. Design/methodology/approach The study uses a systematic literature...
Persistent link: https://www.econbiz.de/10014712664
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A multi-objective approach to determining the usefulness of papers in academic search
Khalid, Shah; Wu, Shengli; Zhang, Fang - In: Data Technologies and Applications 55 (2021) 5, pp. 734-748
Purpose How to provide the most useful papers for searchers is a key issue for academic search engines. A lot of research has been carried out to address this problem. However, when evaluating the effectiveness of an academic search engine, most of the previous investigations assume that the...
Persistent link: https://www.econbiz.de/10014712678
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Classification of electrocardiogram signal using an ensemble of deep learning models
Pandey, Saroj Kumar; Janghel, Rekh Ram - In: Data Technologies and Applications 55 (2021) 3, pp. 446-460
Purpose According to the World Health Organization, arrhythmia is one of the primary causes of deaths across the globe. In order to reduce mortality rate, cardiovascular disease should be properly identified and the proper treatment for the same should be immediately provided to the patients....
Persistent link: https://www.econbiz.de/10014712679
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Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach
Eluri, Nageswara Rao; Kancharla, Gangadhara Rao; Dara, … - In: Data Technologies and Applications 56 (2021) 2, pp. 247-282
Purpose Gene selection is considered as the fundamental process in the bioinformatics field. The existing methodologies pertain to cancer classification are mostly clinical basis, and its diagnosis capability is limited. Nowadays, the significant problems of cancer diagnosis are solved by the...
Persistent link: https://www.econbiz.de/10014712680
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Data repair of density-based data cleaning approach using conditional functional dependencies
Al-Janabi, Samir; Janicki, Ryszard - In: Data Technologies and Applications 56 (2021) 3, pp. 429-446
Purpose Data 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 data occur for different reasons, such as violation of business rules. However, because of the huge amount of data,...
Persistent link: https://www.econbiz.de/10014712683
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Between comments and repeat visit: capturing repeat visitors with a hybrid approach
Kim, Jina; Jang, Yeonju; Bae, Kunwoo; Oh, Soyoung; … - In: Data Technologies and Applications 55 (2021) 4, pp. 542-557
Purpose Understanding customers' revisiting behavior is highlighted in the field of service industry and the emergence of online communities has enabled customers to express their prior experience. Thus, purpose of this study is to investigate customers' reviews on an online hotel reservation...
Persistent link: https://www.econbiz.de/10014712691
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Deep learning-based detection of tax frauds: an application to property acquisition tax
Lee, Changro - In: Data Technologies and Applications 56 (2021) 3, pp. 329-341
Purpose Sampling 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 a small number of taxpayers with a high probability of tax fraud. Design/methodology/approach An efficient sampling...
Persistent link: https://www.econbiz.de/10014712693
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