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Publication search results
found 983 matches
- 2024
- Qinglong Li, Jaeseung Park, Jaekyeong Kim:
Impact of information consistency in online reviews on consumer behavior in the e-commerce industry: a text mining approach. Data Technol. Appl. 58(1): 132-149 (2024) - Duen-Ren Liu, Yang Huang, Jhen-Jie Jhao, Shin-Jye Lee:
News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks. Data Technol. Appl. 58(1): 24-41 (2024) - Anil Kumar Swain, Aleena Swetapadma, Jitendra Kumar Rout, Bunil Kumar Balabantaray:
A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma. Data Technol. Appl. 58(1): 113-131 (2024) - Rucha Wadapurkar, Sanket Bapat, Rupali A. Mahajan, Renu Vyas:
Machine learning approaches for prediction of ovarian cancer driver genes from mutational and network analysis. Data Technol. Appl. 58(1): 62-80 (2024) - Zeping Wang, Hengte Du, Liangyan Tao, Saad Ahmed Javed:
Risk assessment in machine learning enhanced failure mode and effects analysis. Data Technol. Appl. 58(1): 95-112 (2024) - Bin Wang, Fanghong Gao, Le Tong, Qian Zhang, Sulei Zhu:
Channel attention-based spatial-temporal graph neural networks for traffic prediction. Data Technol. Appl. 58(1): 81-94 (2024) - Rongen Yan, Depeng Dang, Hu Gao, Yan Wu, Wenhui Yu:
A novel word-graph-based query rewriting method for question answering. Data Technol. Appl. 58(1): 1-23 (2024) - Ying Yu, Jing Ma:
Identifying business information through deep learning: analyzing the tender documents of an Internet-based logistics bidding platform. Data Technol. Appl. 58(1): 42-61 (2024) - 2023
- Amir Zaib Abbasi, Natasha Ayaz, Sana Kanwal, Mousa Albashrawi, Nadine Khair:
TikTok app usage behavior: the role of hedonic consumption experiences. Data Technol. Appl. 57(3): 344-365 (2023) - Thepparit Banditwattanawong, Arnon Marco Polo Jankasem, Masawee Masdisornchote:
Hybrid data analytic technique for grading fairness. Data Technol. Appl. 57(1): 18-31 (2023) - Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi:
A hybrid approach for predicting missing follower-followee links in social networks using topological features with ensemble learning. Data Technol. Appl. 57(1): 131-153 (2023) - Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi:
CommunityGCN: community detection using node classification with graph convolution network. Data Technol. Appl. 57(4): 580-604 (2023) - Vahide Bulut:
Identifying surface points based on machine learning algorithms: a comprehensive analysis. Data Technol. Appl. 57(4): 489-513 (2023) - Konstantinos Chytas, Anastasios Tsolakidis, Evangelia Triperina, Christos Skourlas:
Educational data mining in the academic setting: employing the data produced by blended learning to ameliorate the learning process. Data Technol. Appl. 57(3): 366-384 (2023) - Henrik Dibowski:
Property Assertion Constraints for ontologies and knowledge graphs. Data Technol. Appl. 57(2): 157-176 (2023) - Nguyen Thi Dinh, Nguyen Thi Uyen Nhi, Thanh Manh Le, Thanh The Van:
A model of image retrieval based on KD-Tree Random Forest. Data Technol. Appl. 57(4): 514-536 (2023) - Ali Ghorbanian, Hamideh Razavi:
A new method based on ensemble time series for fast and accurate clustering. Data Technol. Appl. 57(5): 756-779 (2023) - Wu-Yuin Hwang, Rio Nurtantyana, Uun Hariyanti:
Collaboration and interaction with smart mechanisms in flipped classrooms. Data Technol. Appl. 57(5): 625-642 (2023) - Jasleen Kaur, Khushdeep Dharni:
Data mining-based stock price prediction using hybridization of technical and fundamental analysis. Data Technol. Appl. 57(5): 780-800 (2023) - Amir Hosein Keyhanipour, Farhad Oroumchian:
SeaRank: relevance prediction based on click models in a reinforcement learning framework. Data Technol. Appl. 57(4): 465-488 (2023) - Eunji Kim, Jinwon An, Hyunchang Cho, Sungzoon Cho, Byeongeon Lee:
A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing. Data Technol. Appl. 57(3): 397-417 (2023) - Jiho Kim, Hanjun Lee, Hongchul Lee:
Mining the determinants of review helpfulness: a novel approach using intelligent feature engineering and explainable AI. Data Technol. Appl. 57(1): 108-130 (2023) - Hyogon Kim, Eunmi Lee, Donghee Yoo:
Do SEC filings indicate any trends? Evidence from the sentiment distribution of forms 10-K and 10-Q with FinBERT. Data Technol. Appl. 57(2): 293-312 (2023) - Akhil Kumar:
A cascaded deep-learning-based model for face mask detection. Data Technol. Appl. 57(1): 84-107 (2023) - Ashutosh Kumar, Aakanksha Sharaff:
ABEE: automated bio entity extraction from biomedical text documents. Data Technol. Appl. 57(2): 222-244 (2023) - Meriem Laifa, Djamila Mohdeb:
Sentiment analysis of the Algerian social movement inception. Data Technol. Appl. 57(5): 734-755 (2023) - Jingyi Li, Shiwei Chao:
A novel twin-support vector machine for binary classification to imbalanced data. Data Technol. Appl. 57(3): 385-396 (2023) - Yishan Liu, Wenming Cao, Guitao Cao:
Multi-relation global context learning for session-based recommendation. Data Technol. Appl. 57(4): 562-579 (2023) - Zhongbao Liu, Wenjuan Zhao:
Chinese sentiment analysis model by integrating multi-granularity semantic features. Data Technol. Appl. 57(4): 605-622 (2023) - Yue Ming:
Social support on Reddit for antiretroviral therapy. Data Technol. Appl. 57(2): 279-292 (2023)
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