Data mining is the process of discovering or extracting new patterns from large data sets involving methods from statistics and artificial intelligence. The Decision Tree is an important classification method in data mining classification. The classification algorithm of the decision tree ID3, C4.5,CART...
One of the important problems in data mining is the Classification rule learning which involves finding rules that partition given data into predefined classes. In the data mining domain where millions of records and a large number of attributes are involved, the execution time of existing algorithms...
The present study focuses on an automatic gait classification for NDD patients by applying gait rhythm signals because it is easy to collect with different sensors [12], [13]. Previous studies have demonstrated the use of statistical and nonlinear computational methods for feature extraction from gai...
Fig. 6. LIPID MAPS classification annotation map, A:Positive ion mode, B:negative ion mode. Note: The x-axis shows metabolite counts, and the y-axis displays LIPID MAPS annotated lipid classes. 3.2.1. Comparative analysis of metabolites in processed sea cucumber and fresh sea cucumber The ma...
Classification of jujube fruit based on several pricing factors using machine learning methods We used different classifiers and training methods in order to obtain the best result and by using decision tree we could reach 98.8% accuracy of the ... A Zakeri,R Hedayati,M Khedmati,... - arXiv...
Automatic diagnosis coding of radiology reports: a comparison of deep learning and conventional classification methods. In: BioNLP, 2017;328–332. Ning W, Yu M, Zhang R. A hierarchical method to automatically encode Chinese diagnoses through semantic similarity estimation. BMC Med Inform Decis Mak....
(Supplementary TableS1). The other genes were distributed in 50 random groups of 160 genes per group. Then, we built a total of 450 different binary classification models to infer genes related to virulence using the software tool Weka105. Each model is built using one of the 50 random ...
Identifying differentially abundant microbes is a common goal of microbiome studies. Multiple methods are used interchangeably for this purpose in the literature. Yet, there are few large-scale studies systematically exploring the appropriateness of usin
Some methods for classification and analysis of multivariate Paper presentation at the proceedings of the 5th berkeley symposium on mathematical statistics and probability, Vol. 1 (1967), pp. 281-297 Oakland, CA, USA http://projecteuclid.org/euclid.bsmsp/1200512992 ...
According to the classification pattern proposed by Anderson (1951), the hydrostatic stress state without differential stress and the triaxial stress state with differential stress are considered. The in situ stress, principal stress, and loading pressure corresponding to the three stress states are show...