Two-stage hybrid gene selection using mutual information and genetic algorithm for cancer data classification
Cancer is a deadly disease which requires a very complex and costly treatment. Microarray
data classification plays an important role in cancer treatment. An efficient gene selection …
data classification plays an important role in cancer treatment. An efficient gene selection …
Granular computing for data analytics: a manifesto of human-centric computing
W Pedrycz - IEEE/CAA Journal of Automatica Sinica, 2018 - ieeexplore.ieee.org
In the plethora of conceptual and algorithmic developments supporting data analytics and
system modeling, humancentric pursuits assume a particular position owing to ways they …
system modeling, humancentric pursuits assume a particular position owing to ways they …
Shared nearest-neighbor quantum game-based attribute reduction with hierarchical coevolutionary spark and its application in consistent segmentation of neonatal …
The unprecedented increase in data volume has become a severe challenge for
conventional patterns of data mining and learning systems tasked with handling big data …
conventional patterns of data mining and learning systems tasked with handling big data …
Rt-gsom: rough tolerance growing self-organizing map
The concept of rough tolerance set is introduced within growing self-organizing map
(GSOM) to reduce the uncertainty in decision-making by develo** a new algorithm …
(GSOM) to reduce the uncertainty in decision-making by develo** a new algorithm …
Fast and accurate hierarchical clustering based on growing multilayer topology training
Y Cheung, Y Zhang - … on neural networks and learning systems, 2018 - ieeexplore.ieee.org
Hierarchical clustering has been extensively applied for data analysis and knowledge
discovery. However, the scalability of hierarchical clustering methods is generally limited …
discovery. However, the scalability of hierarchical clustering methods is generally limited …
Designing explainable text classification pipelines: Insights from it ticket complexity prediction case study
Nowadays, enterprises need to handle a continually growing amount of text data generated
internally by their employees and externally by current or potential customers. Accordingly …
internally by their employees and externally by current or potential customers. Accordingly …
Pattern analysis of genetics and genomics: a survey of the state-of-art
The endless enhancement and decreasing charges of a complete human genome have
given rise to fast acceptance of genetic and genomic information at both research institutions …
given rise to fast acceptance of genetic and genomic information at both research institutions …
Fusion of self-organizing map and granular self-organizing map for microblog summarization
In this paper, we have proposed a fusion of two architectures, self-organizing map and
granular self-organizing map (SOM+ GSOM), for solving the microblog summarization task …
granular self-organizing map (SOM+ GSOM), for solving the microblog summarization task …
Classification of autism gene expression data using deep learning
Gene expression data is used in the prediction of many diseases. Autism spectrum disorder
(ASD) is among those diseases, where information on gene expression for selecting and …
(ASD) is among those diseases, where information on gene expression for selecting and …
Assessing gene stability and gene affinity in microarray data classification using an extended relieff algorithm
N Srivastava, DK Tayal - Multimedia Tools and Applications, 2024 - Springer
Microarray data have become an integral part of the clinical and drug discovery process.
Due to its voluminous and heterogeneous nature, the question arises of the interpretability …
Due to its voluminous and heterogeneous nature, the question arises of the interpretability …