Prediction performance of improved decision tree-based algorithms: a review

ID Mienye, Y Sun, Z Wang - Procedia Manufacturing, 2019 - Elsevier
Applications of machine learning can be found in retail, banking, education, health sectors
etc. To process the large data emanating from the various sectors, researchers are …

[HTML][HTML] A hybrid grey wolf optimization and particle swarm optimization with C4. 5 approach for prediction of rheumatoid arthritis

S Sundaramurthy, P Jayavel - Applied Soft Computing, 2020 - Elsevier
Rheumatoid Arthritis (RA) is a type of dreadful autoimmune disease that affects the entire
human body, especially joints. Early diagnosis of RA is a challenging task for General …

Improved accuracy of naive bayes classifier for determination of customer churn uses smote and genetic algorithms

AR Safitri, MA Muslim - Journal of Soft Computing Exploration, 2020 - shmpublisher.com
With increasing competition in the business world, many companies use data mining
techniques to determine the level of customer loyalty. The customer data used in this study is …

Improving algorithm accuracy k-nearest neighbor using z-score normalization and particle swarm optimization to predict customer churn

MA Imron, B Prasetyo - Journal of Soft Computing Exploration, 2020 - shmpublisher.com
Due to increased competition in the business world, many companies use data mining
techniques to determine the loyalty level of customers. In this business, data mining can be …

The implementation of z-score normalization and boosting techniques to increase accuracy of c4. 5 algorithm in diagnosing chronic kidney disease

HA Prihanditya - Journal of Soft Computing Exploration, 2020 - shmpublisher.com
In the health sector, data mining can be used as a recommendation to predict a disease from
the collection of patient medical record data or health data. One of the techniques can be …

Improve the accuracy of support vector machine using chi square statistic and term frequency inverse document frequency on movie review sentiment analysis

UI Larasati, MA Muslim, R Arifudin… - Scientific Journal of …, 2019 - journal.unnes.ac.id
Data processing can be done with text mining techniques. To process large text data is
required a machine to explore opinions, including positive or negative opinions. Sentiment …

Increasing accuracy of C4. 5 algorithm using information gain ratio and adaboost for classification of chronic kidney disease

A Lestari - Journal of Soft Computing Exploration, 2020 - shmpublisher.com
Data information that has been available is very much and will require a very long time to
process large amounts of information data. Therefore, data mining is used to process large …

[HTML][HTML] Bioinformatics and machine learning driven key genes screening for hepatocellular carcinoma

Y Shen, J Huang, L Jia, C Zhang, J Xu - Biochemistry and Biophysics …, 2024 - Elsevier
Liver cancer, a global menace, ranked as the sixth most prevalent and third deadliest cancer
in 2020. The challenge of early diagnosis and treatment, especially for hepatocellular …

Feasibility study on data mining techniques in diagnosis of breast cancer

K Rajendran, M Jayabalan… - … Journal of Machine …, 2019 - researchonline.ljmu.ac.uk
© 2019 International Association of Computer Science and Information Technology.
Survivability of patients suffering from breast cancer varies according to the stages. The …

Performance analysis of supervised classifiers using PCA based techniques on breast cancer

Z Mushtaq, A Yaqub, A Hassan… - … on engineering and …, 2019 - ieeexplore.ieee.org
Focus of this paper is to recognize tumorous (malignant) and non-tumorous (benign) from
the dataset. Wisconsin breast cancer data (WBCD) has been used and taken from UCI …