Data & Knowledge Engineering

Papers
(The TQCC of Data & Knowledge Engineering is 5. 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
Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index60
Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools43
Group-based privacy preservation techniques for process mining29
The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers27
Modeling metadata in data lakes—A generic model27
Pairing conceptual modeling with machine learning27
Anomaly explanation: A review26
Machine learning-based risk prediction model for cardiovascular disease using a hybrid dataset24
Discovering business process simulation models in the presence of multitasking and availability constraints23
Types and taxonomic structures in conceptual modeling: A novel ontological theory and engineering support22
Forecasting cryptocurrency prices using Recurrent Neural Network and Long Short-term Memory22
Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India20
Trustworthy journalism through AI19
A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms19
Ontology-based semantic retrieval of documents using Word2vec model19
DBHC: A DBSCAN-based hierarchical clustering algorithm18
Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach16
Learning English and Arabic question similarity with Siamese Neural Networks in community question answering services16
Blockchain based Securing Medical Records in Big Data Analytics16
An artifact ontology for design science research16
Applying the CRISP-DM data mining process in the financial services industry: Elicitation of adaptation requirements15
COPri v.2 — A core ontology for privacy requirements15
An approach to detect backbones of information diffusers among different communities of a social platform14
On the explanatory power of Boolean decision trees14
Knowledge extraction using semantic similarity of concepts from Web of Things knowledge bases14
Enhancing classification capacity of CNN models with deep feature selection and fusion: A case study on maize seed classification14
Hybrid methodology for analysis of structured and unstructured data to support decision-making in public security13
A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index13
Extraction and analysis of text patterns from NSFW adult content in Reddit13
Hepatitis C virus data analysis and prediction using machine learning12
Multi-level conceptual modeling: Theory, language and application11
Survey of fake news detection using machine intelligence approach11
GIRE: Gender-Inclusive Requirements Engineering11
Convolutional neural network-based high-precision and speed detection system on CIDDS-00110
Entity alignment with adaptive margin learning knowledge graph embedding10
A parameter-free KNN for rating prediction10
A core ontology on the Human–Computer Interaction phenomenon10
Ontology-driven evolution of software security10
Sense, Transform & Send for the Internet of Things (STS4IoT): UML profile for data-centric IoT applications9
Decision tree post-pruning without loss of accuracy using the SAT-PP algorithm with an empirical evaluation on clinical data9
An ontological analysis of software system anomalies and their associated risks9
ERP failure: A systematic mapping of the literature9
System: A core conceptual modeling construct for capturing complexity9
OFES: Optimal feature evaluation and selection for multi-class classification9
A framework for investigating the dynamics of user and community sentiments in a social platform9
Mining Closed High Utility Itemsets based on Propositional Satisfiability8
Enhancing item-based collaborative filtering by users’ similarities injection and low-quality data handling8
Generating multiple conceptual models from behavior-driven development scenarios8
An ontology knowledge inspection methodology for quality assessment and continuous improvement8
Explainable machine learning models to analyse maternal health8
Aligning and linking entity mentions in image, text, and knowledge base7
OLAP Patterns: A pattern-based approach to multidimensional data analysis7
Watch out, pothole! featuring road damage detection in an end-to-end system for autonomous driving7
Automatic schema construction of electrical graph data platform based on multi-source relational data models7
Chinese named-entity recognition via self-attention mechanism and position-aware influence propagation embedding7
Meta-heuristic Searched-Ensemble Learning for fake news detection with optimal weighted feature selection approach7
Metaheuristic enabled intelligent model for stock market prediction via integrating volatility spillover: India and its Asian and European counterparts7
Conceptual modeling in the era of Big Data and Artificial Intelligence: Research topics and introduction to the special issue7
Evolution management in multi-model databases7
Analysis and evaluation of document-oriented structures7
TopicBank: Collection of coherent topics using multiple model training with their further use for topic model validation6
LEAPME: Learning-based Property Matching with Embeddings6
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance6
A provenance model for control-flow driven scientific workflows6
FaNDS: Fake News Detection System using energy flow6
Mining high utility patterns in interval-based event sequences6
A feature selection method based on term frequency difference and positive weighting factor6
An effective strategy for churn prediction and customer profiling6
Efficient machine learning on data science languages with parallel data summarization6
Architecture for ontology-supported multi-context reasoning systems6
Selecting databases for Polyglot Persistence applications6
A workload-driven method for designing aggregate-oriented NoSQL databases6
Finding Internet of Things resources: A state-of-the-art study5
A novel approach for Credit-Based Resource Aware Load Balancing algorithm (CB-RALB-SA) for scheduling jobs in cloud computing5
From base data to knowledge discovery – A life cycle approach – Using multilayer networks5
Optimized deep learning-based prediction model for chiller performance prediction5
Process model forecasting and change exploration using time series analysis of event sequence data5
An enhanced attentive implicit relation embedding for social recommendation5
Robotic process automation using process mining — A systematic literature review5
Wikipedia searches and the epidemiology of infectious diseases: A systematic review5
DECIDE: An Agile event-and-data driven design methodology for decisional Big Data projects5
Issues in inter-organizational data sharing: Findings from practice and research challenges5
French translation of a dialogue dataset and text-based emotion detection5
A novel domain and event adaptive tweet augmentation approach for enhancing the classification of crisis related tweets5
On efficient top-k transaction path query processing in blockchain database5
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