Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Azuraliza Abu Bakar"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102035- (2024)
Aspect-Based Sentiment Analysis (ABSA) aims to identify the sentiment expressed towards a specific feature or aspect of a given text. Although certain ABSA techniques employ syntactic information to capture the connection between the opinion target a
Externí odkaz:
https://doaj.org/article/6e1b274cd4a040749401a3a239aaa040
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 8, Iss 3, Pp 271-284 (2022)
The cold-start problem is a condition for a new node to join a network with no available information or an isolated node. Most studies use topological network information with the Triadic Closure principles to predict links in future networks. Howeve
Externí odkaz:
https://doaj.org/article/9ad74d4ffecc444088ade0f8674335b4
Publikováno v:
Journal of ICT, Vol 22, Iss 3 (2023)
Analysis of animal movement data using statistical applications and machine learning has developed rapidly in line with the development and use of various tracking devices. Location and movement data at temporal and spatial scales are collected using
Externí odkaz:
https://doaj.org/article/71ca1b1010d64bc582c446672e660620
Autor:
Mohamad Farhan Mohamad Mohsin, Azuraliza Abu Bakar, Abdul Razak Hamdan, Mazrura Sahani, Zainudin Mohd Ali
Publikováno v:
Journal of ICT, Vol 22, Iss 3 (2023)
Dengue is a virus that is spreading quickly and poses a severe threat in Malaysia. It is essential to have an accurate early detection system that can trigger prompt response, reducing deaths and morbidity. Nevertheless, uncertainties in the dengue o
Externí odkaz:
https://doaj.org/article/42cde0dda1664eb1a21e393d82fb6cd9
A Novel Approach for Data Feature Weighting Using Correlation Coefficients and Min–Max Normalization
Publikováno v:
Symmetry, Vol 15, Iss 12, p 2185 (2023)
In the realm of data analysis and machine learning, achieving an optimal balance of feature importance, known as feature weighting, plays a pivotal role, especially when considering the nuanced interplay between the symmetry of data distribution and
Externí odkaz:
https://doaj.org/article/1f8b81e1fa5946ffbab36ba38feb812f
Publikováno v:
IEEE Access, Vol 10, Pp 579-596 (2022)
Various applications, such as electronic business, satellite remote sensing, intrusion discovery, and network traffic monitoring, generate large unbounded data stream sequences at a rapid pace. The clustering of data streams has attracted considerabl
Externí odkaz:
https://doaj.org/article/8de2244d65d14a5cabde1c667c334bc2
Publikováno v:
IEEE Access, Vol 10, Pp 31660-31676 (2022)
The nature of decision making in healthcare is complex and crucial. It is essential to have a tool that helps with accurate and correct decisions based on real-time data. Moreover, the healthcare process itself is complex, comprising various stages f
Externí odkaz:
https://doaj.org/article/c2a337fb2c34424bae6698728baa4c26
Publikováno v:
IEEE Access, Vol 8, Pp 154363-154381 (2020)
The world is witnessing the daily emergence of a vast variety of online social networks and community detection problem is a major research area in online social network studies. The existing community detection algorithms are mostly edge-based and a
Externí odkaz:
https://doaj.org/article/21942f32d2f54eabb120f02420004066
Publikováno v:
IEEE Access, Vol 8, Pp 176640-176650 (2020)
Corporate bankruptcy prediction is an important task in the determination of corporate solvency, that is, whether a company can meet up to its financial obligations or not. It is widely studied as it has a significant effect on employees, customers,
Externí odkaz:
https://doaj.org/article/f9455b012f8740f0918937ced602739c
Autor:
Mohammed H. Afif, Abdullah Saeed Ghareb, Abdulgbar Saif, Azuraliza Abu Bakar, Omer Bazighifan
Publikováno v:
Decision Science Letters, Vol 9, Iss 1, Pp 37-50 (2020)
The rule based categorization approaches such as associative classification have the capability to produce classifiers rival to those learned by traditional categorization approaches such as Naïve Bayes and K-nearest Neighbor. However, the lack of u
Externí odkaz:
https://doaj.org/article/4f14de2a665946d29f5a6ccb97ab6e8a