Domain-specific knowledge graphs: A survey

B Abu-Salih - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …

Boosting methods for multi-class imbalanced data classification: an experimental review

J Tanha, Y Abdi, N Samadi, N Razzaghi, M Asadpour - Journal of Big data, 2020 - Springer
Since canonical machine learning algorithms assume that the dataset has equal number of
samples in each class, binary classification became a very challenging task to discriminate …

Short-term renewable energy consumption and generation forecasting: A case study of Western Australia

B Abu-Salih, P Wongthongtham, G Morrison… - Heliyon, 2022 - cell.com
Abstract Peer-to-Peer (P2P) energy trading has gained much attention recently due to the
advanced development of distributed energy resources. P2P enables prosumers to trade …

Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities

B Abu-Salih, M Al-Qurishi, M Alweshah, M Al-Smadi… - Journal of Big Data, 2023 - Springer
The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …

Twitter sentiment analysis approaches: A survey

O Adwan, M Al-Tawil, A Huneiti, R Shahin… - … Journal of Emerging …, 2020 - learntechlib.org
Twitter is one of the most popular microblogging and social networking platforms where
massive instant messages (ie tweets) are posted every day. Twitter sentiment analysis …

A survey on trust prediction in online social networks

SM Ghafari, A Beheshti, A Joshi, C Paris… - IEEE …, 2020 - ieeexplore.ieee.org
Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

Relational learning analysis of social politics using knowledge graph embedding

B Abu-Salih, M Al-Tawil, I Aljarah, H Faris… - Data Mining and …, 2021 - Springer
Abstract Knowledge Graphs (KGs) have gained considerable attention recently from both
academia and industry. In fact, incorporating graph technology and the copious of various …

User trustworthiness in online social networks: A systematic review

M Alkhamees, S Alsaleem, M Al-Qurishi… - Applied Soft …, 2021 - Elsevier
The growing popularity of social networks and their easy acceptance of new users have the
unintended consequence of fostering an environment where anonymous users can act in …

An entropy-based method to control COVID-19 rumors in online social networks using opinion leaders

L Jain - Technology in Society, 2022 - Elsevier
In the ongoing COVID-19 pandemic, people spread various COVID-19-related rumors and
hoaxes that negatively influence human civilization through online social networks (OSN) …

The development of a road network flood risk detection model using optimised ensemble learning

B Abu-Salih, P Wongthongtham, K Coutinho… - … Applications of Artificial …, 2023 - Elsevier
Floods are natural phenomena that invade different parts of the globe annually, leaving
severe adverse effects on the natural landscape, particularly in areas where humans …