Bilal Abu-Salih
Orcid: 0000-0001-9875-4369
According to our database1,
Bilal Abu-Salih
authored at least 52 papers
between 2015 and 2024.
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Bibliography
2024
J. Big Data, December, 2024
Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review.
J. Big Data, December, 2024
An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations.
Int. J. Comput. Intell. Syst., December, 2024
DAO-LGBM: dual annealing optimization with light gradient boosting machine for advocates prediction in online customer engagement.
Clust. Comput., July, 2024
An automatic prediction of students' performance to support the university education system: a deep learning approach.
Multim. Tools Appl., May, 2024
Natural language inference model for customer advocacy detection in online customer engagement.
Mach. Learn., April, 2024
Hybrid Aquila optimizer for efficient classification with probabilistic neural networks.
Multiagent Grid Syst., 2024
J. Inf. Sci., 2024
Full-progress crop management and harvesting scheme with integrated space information: A case of jujube orchard.
J. Ind. Inf. Integr., 2024
Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning.
Int. J. Interact. Mob. Technol., 2024
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron.
CoRR, 2024
Proceedings of the Fifth International Conference on Intelligent Data Science Technologies and Applications, 2024
2023
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities.
J. Big Data, December, 2023
Incorporating Time-Series Forecasting Techniques to Predict Logistics Companies' Staffing Needs and Order Volume.
Comput., June, 2023
Big Data Cogn. Comput., March, 2023
Deep neural networks in the cloud: Review, applications, challenges and research directions.
Neurocomputing, 2023
The development of a road network flood risk detection model using optimised ensemble learning.
Eng. Appl. Artif. Intell., 2023
DSpamOnto: An Ontology Modelling for Domain-Specific Social Spammers in Microblogging.
Big Data Cogn. Comput., 2023
2022
Frontiers Big Data, 2022
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities.
CoRR, 2022
2021
J. Univers. Comput. Sci., 2021
Data Min. Knowl. Discov., 2021
2020
Unlocking Social Media and User Generated Content as a Data Source for Knowledge Management.
Int. J. Knowl. Manag., 2020
Affective design using machine learning: a survey and its prospect of conjoining big data.
Int. J. Comput. Integr. Manuf., 2020
CoRR, 2020
2019
CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor.
J. Inf. Sci., 2019
CoRR, 2019
Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2019
2018
J. Organ. Comput. Electron. Commer., 2018
J. Knowl. Manag., 2018
State-of-the-Art Ontology Annotation for Personalised Teaching and Learning and Prospects for Smart Learning Recommender Based on Multiple Intelligence and Fuzzy Ontology.
Int. J. Fuzzy Syst., 2018
Applying Vector Space Model (VSM) Techniques in Information Retrieval for Arabic Language.
CoRR, 2018
Ontology-based Approach for Semantic Data Extraction from Social Big Data: State-of-the-art and Research Directions.
CoRR, 2018
Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, 2018
Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018
Impact of Web 2.0 Technology on Students with Learning Difficulties: A State-of-the-Art and Future Challenges.
Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018
2015
Ontology and trust based data warehouse in new generation of business intelligence: State-of-the-art, challenges, and opportunities.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Towards a Methodology for Social Business Intelligence in the Era of Big Social Data Incorporating Trust and Semantic Analysis.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015
A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015