Prediction performance of improved decision tree-based algorithms: a review
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
the dataset. Wisconsin breast cancer data (WBCD) has been used and taken from UCI …