Data Technologies and Applications
Issue(s) available: 30 – From Volume: 52 Issue: 1, to Volume: 58 Issue: 2
Volume 54
Practice challenge recommendations in online judge using implicit rating extraction and utility sequence patterns
Ramesh P Natarajan, Kannimuthu S, Bhanu DThe existing traditional recommendations based on content-based filtering (CBF), collaborative filtering (CF) and hybrid approaches are inadequate for recommending practice…
A novel similarity measure SF-IPF for CBKNN with implicit feedback data
Rajalakshmi Sivanaiah, Mirnalinee T T, Sakaya Milton RThe increasing popularity of music streaming services also increases the need to customize the services for each user to attract and retain customers. Most of the music streaming…
Efficient software mutation test by clustering the single-line redundant mutants
Bahman Arasteh, Ali GhaffariReducing the number of generated mutants by clustering redundant mutants, reducing the execution time by decreasing the number of generated mutants and reducing the cost of…
A novel neural network architecture and cross-model transfer learning for multi-task autonomous driving
Youwei Li, Jian QuThe purpose of this research is to achieve multi-task autonomous driving by adjusting the network architecture of the model. Meanwhile, after achieving multi-task autonomous…
Application of deep learning model incorporating domain knowledge in international migration forecasting
Tongzheng Pu, Chongxing Huang, Haimo Zhang, Jingjing Yang, Ming HuangForecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory…
Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models
Qiuying Chen, Ronghui Liu, Qingquan Jiang, Shangyue XuTourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in…
A Bayesian Inference-based approach for extracting driving data with implicit intention
Ping Huang, Haitao Ding, Hong Chen, Jianwei Zhang, Zhenjia SunThe growing availability of naturalistic driving datasets (NDDs) presents a valuable opportunity to develop various models for autonomous driving. However, while current NDDs…
A hybrid method for forecasting coal price based on ensemble learning and deep learning with data decomposition and data enhancement
Jing Tang, Yida Guo, Yilin HanCoal is a critical global energy source, and fluctuations in its price significantly impact related enterprises' profitability. This study aims to develop a robust model for…
False alarm detection in intensive care unit for monitoring arrhythmia condition using bio-signals
Aleena Swetapadma, Tishya Manna, Maryam SamamiA novel method has been proposed to reduce the false alarm rate of arrhythmia patients regarding life-threatening conditions in the intensive care unit. In this purpose, the…
ID-SF-Fusion: a cooperative model of intent detection and slot filling for natural language understanding
Meng Zhu, Xiaolong XuIntent detection (ID) and slot filling (SF) are two important tasks in natural language understanding. ID is to identify the main intent of a paragraph of text. The goal of SF is…
Light field image coding using a residual channel attention network–based view synthesis
Faguo Liu, Qian Zhang, Tao Yan, Bin Wang, Ying Gao, Jiaqi Hou, Feiniu YuanLight field images (LFIs) have gained popularity as a technology to increase the field of view (FoV) of plenoptic cameras since they can capture information about light rays with…
Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals
Priya Mishra, Aleena SwetapadmaSleep arousal detection is an important factor to monitor the sleep disorder.
Community relations discovery methods for users in Fancircle based on sentiment analysis in China
Kai WangThe identification of network user relationship in Fancircle contributes to quantifying the violence index of user text, mining the internal correlation of network behaviors among…
On the differences between CNNs and vision transformers for COVID-19 diagnosis using CT and chest x-ray mono- and multimodality
Sara El-Ateif, Ali Idri, José Luis Fernández-AlemánCOVID-19 continues to spread, and cause increasing deaths. Physicians diagnose COVID-19 using not only real-time polymerase chain reaction but also the computed tomography (CT…
Deep understanding of radiology reports: leveraging dynamic convolution in chest X-ray images
Tarun Jaiswal, Manju Pandey, Priyanka TripathiThe purpose of this study is to investigate and demonstrate the advancements achieved in the field of chest X-ray image captioning through the utilization of dynamic convolutional…
Understanding the relationship between normative records of appeals and government hotline order dispatching: a data analysis method
Zicheng ZhangAdvanced big data analysis and machine learning methods are concurrently used to unleash the value of the data generated by government hotline and help devise intelligent…
Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA)
B. Vasavi, P. Dileep, Ulligaddala SrinivasaraoAspect-based sentiment analysis (ASA) is a task of sentiment analysis that requires predicting aspect sentiment polarity for a given sentence. Many traditional techniques use…
Topic optimization–incorporated collaborative recommendation for social tagging
Xuwei Pan, Xuemei Zeng, Ling DingWith the continuous increase of users, resources and tags, social tagging systems gradually present the characteristics of “big data” such as large number, fast growth, complexity…
Machine learning methods for results merging in patent retrieval
Vasileios Stamatis, Michail Salampasis, Konstantinos DiamantarasIn federated search, a query is sent simultaneously to multiple resources and each one of them returns a list of results. These lists are merged into a single list using the…
Construction of public security indicators based on characteristics of shared group behavior patterns
XiYue Deng, Xiaoming Li, Zhenzhen Chen, Mengli Zhu, Naixue Xiong, Li ShenHuman group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points…
TMsDP: two-stage density peak clustering based on multi-strategy optimization
Jie Ma, Zhiyuan Hao, Mo HuThe density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and…
ISSN:
2514-9288Renamed from:
Program: electronic library and information systemsOnline date, start – end:
2018Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof Miguel-Ángel Sicilia-Urban