Evaluating data mining classification methods performance in internet of things applications

MA Sulaiman - Journal of Soft Computing and Data Mining, 2020 - penerbit.uthm.edu.my
The world is passing through the stage of the superiority of science and technology. The
impact of this superiority in human life cannot be hidden. There is no doubt that the societies …

Exploring the sentimental features of rumor messages and investors' intentions to invest

AI Alzahrani, SM Sarsam, H Al-Samarraie… - International Review of …, 2023 - Elsevier
Investors' decisions to invest in stock markets can be significantly influenced by online
rumors generated by certain companies or influencers. The current understanding of how …

TOMBoost: a topic modeling based boosting approach for learning with class imbalance

S Santhiappan, J Chelladurai, B Ravindran - International Journal of Data …, 2024 - Springer
Classification of data with imbalanced characteristics is an essential research problem as
the data from most real-world applications follow non-uniform class proportions. Solutions to …

Classification boosting in imbalanced data

SS Pangastuti, K Fithriasari, N Iriawan… - Malaysian Journal of …, 2019 - jummec.um.edu.my
Most existing classification approaches assumed underlying training data set to be evenly
distributed. However, in the imbalanced classification, the training data set of one majority …

[PDF][PDF] Classification boosting in imbalanced data

K Fithriasari, SS Pangastuti, N Iriawan… - MJS, 2019 - mjs.um.edu.my
Most existing classification approaches assumed underlying training data set to be evenly
distributed. However, in the imbalanced classification, the training data set of one majority …

[PDF][PDF] Classificação com algoritmo AdaBoost. M1: o mito do limiar de erro de treinamento

AN Leães Neto - 2017 - repositorio.pucrs.br
O crescimento acelerado dos repositórios de dados, nas diversas áreas de atuação, abre
espaço para pesquisas na área da mineração de dados, em específico, com os métodos de …