Data Technologies and Applications

Papers
(The median citation count of Data Technologies and Applications is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A systematic review of machine learning-based missing value imputation techniques32
Bölen: software module clustering method using the combination of shuffled frog leaping and genetic algorithm22
M-GAN-XGBOOST model for sales prediction and precision marketing strategy making of each product in online stores18
Structural equation modeling and artificial neural networks approach to predict continued use of mobile taxi booking apps: the mediating role of hedonic motivation17
Effect of eWom on purchase intention: meta-analysis14
A multi-objective approach to determining the usefulness of papers in academic search14
Privacy-preserving techniques in recommender systems: state-of-the-art review and future research agenda13
Internet public opinion dissemination mechanism of COVID-19: evidence from the Shuanghuanglian event13
Classification of electrocardiogram signal using an ensemble of deep learning models12
An error-propagation aware method to reduce the software mutation cost using genetic algorithm12
Using the playful consumption experience model to uncover behavioral intention to play Multiplayer Online Battle Arena (MOBA) games12
Gradient boosting learning for fraudulent publisher detection in online advertising12
Systematic literature review of sentiment analysis in the Spanish language9
An effective recommender system based on personality traits, demographics and behavior of customers in time context8
Knowledge discovery in research on domestic violence: an overview of the last fifty years8
An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science8
Impact on recommendation performance of online review helpfulness and consistency8
A robust framework for shoulder implant X-ray image classification8
Self-efficacy and continuance intention of Web 2.0 platforms: a meta-analysis7
Applying sentiment analytics to examine social media crises: a case study of United Airline's crisis in 20176
A novel semi-supervised self-training method based on resampling for Twitter fake account identification6
Analyzing online discussion data for understanding the student's critical thinking6
Attack detection in medical Internet of things using optimized deep learning: enhanced security in healthcare sector6
Exploring the effectiveness of word embedding based deep learning model for improving email classification6
An improved density-based approach to risk assessment on railway investment5
Utility optimization-based multi-stakeholder personalized recommendation system5
Techniques to detect terrorists/extremists on the dark web: a review5
Between comments and repeat visit: capturing repeat visitors with a hybrid approach5
Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising5
Deep learning-based detection of tax frauds: an application to property acquisition tax5
Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment4
The influence of public health information sharing on social media during the early COVID-19 outbreak4
A scalable eigenspace-based fuzzy c-means for topic detection4
Decision tree-based classification in coastal area integrating polarimetric SAR and optical data4
Contour- and Texture-based analysis for victim identification in forensic odontology4
TikTok app usage behavior: the role of hedonic consumption experiences4
Analyzing the structure of tourism destination network based on digital footprints: taking Guilin, China as a case3
Recognition and labeling of faults in wind turbines with a density-based clustering algorithm3
Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers3
Assessment of national innovation capabilities of OECD countries using trapezoidal interval type-2 fuzzy ELECTRE III method3
Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach3
Social recruiting: an application of social network analysis for preselection of candidates3
ELECTRE tree: a machine learning approach to infer ELECTRE Tri-B parameters3
Credit default swap prediction based on generative adversarial networks3
Machine learning approaches for prediction of ovarian cancer driver genes from mutational and network analysis3
A review of data mining ontologies3
Technical trends of artificial intelligence in standard-essential patents3
CommunityGCN: community detection using node classification with graph convolution network3
Mining the determinants of review helpfulness: a novel approach using intelligent feature engineering and explainable AI3
Modular framework for similarity-based dataset discovery using external knowledge3
Artificial intelligence technologies for more flexible recommendation in uniforms3
SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings3
Who is the boss? Identifying key roles in telecom fraud network via centrality-guided deep random walk3
A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble2
A collaborative trend prediction method using the crowdsourced wisdom of web search engines2
Multimodal Fast–Slow Neural Network for learning engagement evaluation2
Research on the generalization of social bot detection from two dimensions: feature extraction and detection approaches2
Social support on Reddit for antiretroviral therapy2
Analyzing students' attention by gaze tracking and object detection in classroom teaching2
Educational data mining in the academic setting: employing the data produced by blended learning to ameliorate the learning process2
Data repair of density-based data cleaning approach using conditional functional dependencies2
Transfer learning for hostel image classification2
Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing2
A model of image retrieval based on KD-Tree Random Forest2
Data mining–based stock price prediction using hybridization of technical and fundamental analysis2
A cascaded deep-learning-based model for face mask detection2
Using photographs and metadata to estimate house prices in South Korea2
Predicting agricultural and livestock products purchases using the Internet search index and data mining techniques2
An efficient local search for large-scale set-union knapsack problem2
Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research2
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media2
A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma2
Music sentiment classification based on an optimized CNN-RF-QPSO model2
3MO-AHP: an inconsistency reduction approach through mono-, multi- or many-objective quality measures2
Collaboration and interaction with smart mechanisms in flipped classrooms2
Machine learning methods for results merging in patent retrieval2
Giving life to dead: role of WayBack Machine in recovery of dead URLs1
TMsDP: two-stage density peak clustering based on multi-strategy optimization1
A new method based on ensemble time series for fast and accurate clustering1
AsCDPR: a novel framework for ratings and personalized preference hotel recommendation using cross-domain and aspect-based features1
Construction of public security indicators based on characteristics of shared group behavior patterns1
Content analysis-based documentation and exploration of research articles1
Practice challenge recommendations in online judge using implicit rating extraction and utility sequence patterns1
Population estimation using Twitter for a specific space1
An assessment of noise variance estimations in Bayes threshold denoising under stationary wavelet domain on brain lesions and tumor MRIs1
Joint modeling method of question intent detection and slot filling for domain-oriented question answering system1
Risk assessment in machine learning enhanced failure mode and effects analysis1
Optimal support vector machine and hybrid tracking model for behaviour recognition in highly dense crowd videos1
A hybrid approach for predicting missing follower–followee links in social networks using topological features with ensemble learning1
A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing1
ABEE: automated bio entity extraction from biomedical text documents1
Do SEC filings indicate any trends? Evidence from the sentiment distribution of forms 10-K and 10-Q with FinBERT1
Conversational interfaces for unconventional access to business relational data structures1
A meta-analysis of social commerce adoption and the moderating effect of culture1
Improving anti-money laundering in bitcoin using evolving graph convolutions and deep neural decision forest1
Constructing economic taxonomy reflecting firm relationships based on news reports1
Robust cross-lingual knowledge base question answering via knowledge distillation1
Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals1
Measuring semantic distances using linked open data and its application on music recommender systems1
A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection1
Data access as a big competitive advantage: evidence from China's car-hailing platforms1
An incentive mechanism-based framework to assure the quality of self-organizing peer review in preprint1
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