Search Results - "Data technologies and applications"

Privacy-preserving techniques in recommender systems: state-of-the-art review and future research agenda by Pramod, Dhanya

“…PurposeThis study explores privacy challenges in recommender systems (RSs) and how they have leveraged privacy-preserving technology for risk mitigation. The…”
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An analysis of academic librarians competencies and skills for implementation of Big Data analytics in libraries: A correlational study by Ahmad, Khurshid, JianMing, Zheng, Rafi, Muhammad

“…Purpose The purpose of this paper is to analyze the views and capabilities of librarians for the implementation of Big Data analytics in academic libraries of…”
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TMsDP: two-stage density peak clustering based on multi-strategy optimization by Ma, Jie, Hao, Zhiyuan, Hu, Mo

“…PurposeThe density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the…”
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Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals by Mishra, Priya, Swetapadma, Aleena

“…PurposeSleep arousal detection is an important factor to monitor the sleep disorder.Design/methodology/approachThus, a unique nth layer one-dimensional (1D)…”
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Analyzing the structure of tourism destination network based on digital footprints: taking Guilin, China as a case by Yu, Caihua, Lian, Tonghui, Geng, Hongbao, Li, Sixin

“…PurposeThis paper gathers tourism digital footprint from online travel platforms, choosing social network analysis method to learn the structure of destination…”
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AI-powered precision: breast carcinoma diagnosis through digital proliferation index (Ki-67) assessment in pathological anatomy by Aniq, Elmehdi, Chakraoui, Mohamed, Mouhni, Naoual

“…Purpose The primary objective of the study is to enhance the accuracy and efficiency of assessing the proliferation index in cancer cells, specifically…”
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A novel similarity measure SF-IPF for CBKNN with implicit feedback data by Sivanaiah, Rajalakshmi, T T, Mirnalinee, Milton R, Sakaya

“…PurposeThe increasing popularity of music streaming services also increases the need to customize the services for each user to attract and retain customers…”
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Practice challenge recommendations in online judge using implicit rating extraction and utility sequence patterns by P Natarajan, Ramesh, S, Kannimuthu, D, Bhanu

“…PurposeThe existing traditional recommendations based on content-based filtering (CBF), collaborative filtering (CF) and hybrid approaches are inadequate for…”
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Efficient software mutation test by clustering the single-line redundant mutants by Arasteh, Bahman, Ghaffari, Ali

“…PurposeReducing the number of generated mutants by clustering redundant mutants, reducing the execution time by decreasing the number of generated mutants and…”
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Application of deep learning model incorporating domain knowledge in international migration forecasting by Pu, Tongzheng, Huang, Chongxing, Zhang, Haimo, Yang, Jingjing, Huang, Ming

“…PurposeForecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes…”
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A novel neural network architecture and cross-model transfer learning for multi-task autonomous driving by Li, Youwei, Qu, Jian

“…PurposeThe purpose of this research is to achieve multi-task autonomous driving by adjusting the network architecture of the model. Meanwhile, after achieving…”
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Tracking the size of the estimation window in time-series data by Kwon, Tae Yeon

“…PurposeThis paper introduces a novel method, Variance Rule-based Window Size Tracking (VR-WT), for deriving a sequence of estimation window sizes. This…”
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Topic optimization–incorporated collaborative recommendation for social tagging by Pan, Xuwei, Zeng, Xuemei, Ding, Ling

“…PurposeWith the continuous increase of users, resources and tags, social tagging systems gradually present the characteristics of “big data” such as large…”
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Optimized discovery of discourse topics in social media: science communication about COVID-19 in Brazil by Cerqueira de Lima, Bernardo, Abrantes Baracho, Renata Maria, Mandl, Thomas, Baracho Porto, Patricia

“…Purpose Social media platforms that disseminate scientific information to the public during the COVID-19 pandemic highlighted the importance of the topic of…”
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Understanding customer behavior by mapping complaints to personality based on social media textual data by Alamsyah, Andry, Nadhila, Fadiah, Izumi, Nabila Kalvina

“…Purpose Technology serves as a key catalyst in shaping society and the economy, significantly altering customer dynamics. Through a deep understanding of these…”
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AsCDPR: a novel framework for ratings and personalized preference hotel recommendation using cross-domain and aspect-based features by Wang, Hei-Chia, Justitia, Army, Wang, Ching-Wen

“…PurposeThe explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about…”
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CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method by Wang, Hei-Chia, Maslim, Martinus, Liu, Hung-Yu

“…PurposeA clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content. There are numerous negative repercussions…”
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Analyzing audiovisual data for understanding user's emotion in human−computer interaction environment by Yang, Juan, Li, Zhenkun, Du, Xu

“…PurposeAlthough numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for…”
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Light field image coding using a residual channel attention network–based view synthesis by Liu, Faguo, Zhang, Qian, Yan, Tao, Wang, Bin, Gao, Ying, Hou, Jiaqi, Yuan, Feiniu

“…PurposeLight field images (LFIs) have gained popularity as a technology to increase the field of view (FoV) of plenoptic cameras since they can capture…”
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Community relations discovery methods for users in Fancircle based on sentiment analysis in China by Wang, Kai

“…PurposeThe identification of network user relationship in Fancircle contributes to quantifying the violence index of user text, mining the internal correlation…”
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