A5076807890- Data Mining Algorithms and Applications
- Human Mobility and Location-Based Analysis
- Higher Education Learning Practices
- Higher Education and Employability
- Big Data and Business Intelligence
- Sentiment Analysis and Opinion Mining
- Socioeconomic Development in MENA
- Machine Learning in Bioinformatics
- AI and HR Technologies
- Artificial Intelligence in Healthcare
- Customer Service Quality and Loyalty
- Smart Cities and Technologies
- IoT and Edge/Fog Computing
- Peer-to-Peer Network Technologies
- Blood groups and transfusion
- Bacterial Infections and Vaccines
- Liver Disease Diagnosis and Treatment
- Reservoir Engineering and Simulation Methods
- vaccines and immunoinformatics approaches
- Neonatal Health and Biochemistry
- Customer churn and segmentation
- Recommender Systems and Techniques
- Topic Modeling
University of Donja Gorica
2021-2024
Khalifa University of Science and Technology
2019-2022
Technology Innovation Institute
2017
Masdar Institute of Science and Technology
2017
Abstract Introduction Fast-emerging technologies are making the job market dynamic, causing desirable skills to evolve continuously. It is therefore important understand transitions in proactively identify skill sets required. Case description A novel data-driven approach developed trending jobs through a case study oil and gas industry. The proposed leverages range of data analytics tools, including Latent Semantic Indexing (LSI), Dirichlet Allocation (LDA), Factor Analysis Non-Negative...
The aim of this paper is to analyze customer satisfaction by applying natural language processing (NLP). We have collected over 50,000 airline reviews from TripAdvisor data in the period 2016 until 2019. This analysis demonstrates capability discovering pain points customers using science techniques related NLP. Our study shows that today`s world, data-driven decisions must be taken quickly order maintain and prevent churn.
Rapid technological advances have led to profound changes skills composition in the workplace. Low skilled jobs are gradually being replaced by automated systems, while there is a gaining demand for which require interpersonal and skills. In this study, combination of data science techniques used study phenomenon. Firstly, matrix factorization clustering methods extract dimensions from O-NET, database occupations-skills matchings compiled US Department Labor. A method evaluating performance...
Bibliometric techniques are widely used to study the factors leading successful research, though this is not without its challenges. One notable problem that academic data very diverse, and involves complex interactions between many different entities players. In paper, a novel framework for analyzing heterogeneous proposed. While such would have applications, paper focuses on design of an recommendation system, which one interesting use case framework.