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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 81 - 90 of 249
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Utility optimization-based multi-stakeholder personalized recommendation system
Shrivastava, Rahul; Sisodia, Dilip Singh; Nagwani, … - In: Data Technologies and Applications 56 (2022) 5, pp. 782-805
Purpose In a multi-stakeholder recommender system (MSRS), stakeholders are the multiple entities (consumer, producer, system, etc.) benefited by the generated recommendations. Traditionally, the exclusive focus on only a single stakeholders' (for example, only consumer or end-user) preferences...
Persistent link: https://www.econbiz.de/10014712712
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Exploring the effectiveness of word embedding based deep learning model for improving email classification
Asudani, Deepak Suresh; Nagwani, Naresh Kumar; Singh, … - In: Data Technologies and Applications 56 (2022) 4, pp. 483-505
Purpose Classifying emails as ham or spam based on their content is essential. Determining the semantic and syntactic meaning of words and putting them in a high-dimensional feature vector form for processing is the most difficult challenge in email categorization. The purpose of this paper is...
Persistent link: https://www.econbiz.de/10014712713
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An Argentine ant system algorithm for partial set covering problem
Liu, Xiaofan; Zhou, Yupeng; Yin, Minghao; Lv, Shuai - In: Data Technologies and Applications 56 (2022) 5, pp. 762-781
Purpose The paper aims to provide an efficient meta-heuristic algorithm to solve the partial set covering problem (PSCP). With rich application scenarios, the PSCP is a fascinating and well-known non-deterministic polynomial (NP)-hard problem whose goal is to cover at least k elements with as...
Persistent link: https://www.econbiz.de/10014712731
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A collaborative trend prediction method using the crowdsourced wisdom of web search engines
Fang, Ze-Han; Chen, Chien Chin - In: Data Technologies and Applications 56 (2022) 5, pp. 741-761
Purpose The purpose of this paper is to propose a novel collaborative trend prediction method to estimate the status of trending topics by crowdsourcing the wisdom in web search engines. Government officials and decision makers can take advantage of the proposed method to effectively analyze...
Persistent link: https://www.econbiz.de/10014712732
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Artificial intelligence technologies for more flexible recommendation in uniforms
Wen, Chih-Hao; Cheng, Chih-Chan; Shih, Yuh-Chuan - In: Data Technologies and Applications 56 (2022) 4, pp. 626-643
Purpose This research aims to collect human body variables via 2D images captured by digital cameras. Based on those human variables, the forecast and recommendation of the Digital Camouflage Uniforms (DCU) for Taiwan's military personnel are made. Design/methodology/approach A total of 375...
Persistent link: https://www.econbiz.de/10014712754
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Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising
Sisodia, Deepti; Sisodia, Dilip Singh - In: Data Technologies and Applications 56 (2022) 4, pp. 602-625
Purpose The problem of choosing the utmost useful features from hundreds of features from time-series user click data arises in online advertising toward fraudulent publisher's classification. Selecting feature subsets is a key issue in such classification tasks. Practically, the use of filter...
Persistent link: https://www.econbiz.de/10014712755
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Analyzing the structure of tourism destination network based on digital footprints: taking Guilin, China as a case
Yu, Caihua; Lian, Tonghui; Geng, Hongbao; Li, Sixin - In: Data Technologies and Applications 57 (2022) 1, pp. 56-83
Purpose This paper gathers tourism digital footprint from online travel platforms, choosing social network analysis method to learn the structure of destination networks and to probe into the features of tourist flow network structure and flow characteristics in Guilin of China....
Persistent link: https://www.econbiz.de/10014712757
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Credit default swap prediction based on generative adversarial networks
Lin, Shu-Ying; Liu, Duen-Ren; Huang, Hsien-Pin - In: Data Technologies and Applications 56 (2022) 5, pp. 720-740
Purpose Financial price forecast issues are always a concern of investors. However, the financial applications based on machine learning methods mainly focus on stock market predictions. Few studies have explored credit risk predictions. Understanding credit risk trends can help investors avoid...
Persistent link: https://www.econbiz.de/10014712758
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Text mining the mission statements of the most ethical companies
Bayrak, Tuncay - In: Data Technologies and Applications 56 (2022) 5, pp. 671-685
Purpose This paper explores and examines the mission statements of the most ethical companies across the globe in terms of their main purposes, values, goals, and objective, and what they say about their vision and goals. Design/methodology/approach This study is based on the data published by...
Persistent link: https://www.econbiz.de/10014712775
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A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection
Singh, Lokesh; Janghel, Rekh Ram; Sahu, Satya Prakash - In: Data Technologies and Applications 57 (2022) 1, pp. 1-17
Purpose Automated skin lesion analysis plays a vital role in early detection. Having relatively small-sized imbalanced skin lesion datasets impedes learning and dominates research in automated skin lesion analysis. The unavailability of adequate data poses difficulty in developing classification...
Persistent link: https://www.econbiz.de/10014712776
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