Random Forest Algorithm for Linked Data Using a Parallel Processing Environment
نویسندگان
چکیده
منابع مشابه
Random forest algorithm in big data environment
Random forest method is one of the most widely applied classification algorithms at present. From the actual big data scene and requirements, the application of random forest method in the big data environment to conduct in-depth study. Due to the big data needs to process a huge number of features at the same time, and the data pattern changes constantly over time, the accuracy of a random for...
متن کاملDiagnosis of Diabetes Using a Random Forest Algorithm
Background: Diabetes is the fourth leading cause of death in the world. And because so many people around the world have the disease, or are at risk for it, diabetes can be called the disease of the century. Diabetes has devastating effects on the health of people in the community and if diagnosed late, it can cause irreparable damage to vision, kidneys, heart, arteries and so on. Therefore, it...
متن کاملClassification and Biomarker Genes Selection for Cancer Gene Expression Data Using Random Forest
Background & objective: Microarray and next generation sequencing (NGS) data are the important sources to find helpful molecular patterns. Also, the great number of gene expression data increases the challenge of how to identify the biomarkers associated with cancer. The random forest (RF) is used to effectively analyze the problems of large-p and smal...
متن کاملA Random Forest Classifier based on Genetic Algorithm for Cardiovascular Diseases Diagnosis (RESEARCH NOTE)
Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...
متن کاملClassification of genome data using Random Forest Algorithm: Review
Random Forest is a popular machine learning tool for classification of large datasets. The Dataset classified with Random Forest Algorithm (RF) are correlated and the interaction between the features leads to the study of genome interaction. The review is about RF with respect to its variable selection property which reduces the large datasets into relevant samples and predicting the accuracy f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2015
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2014edp7171