We consider the problem of classifying an unknown observation into one of several populations using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for discriminant procedures that can be utilized regardless of the group-conditional distributions that underlie the model. The treestructured allocation...

Combination of mutually complementary features is necessary to cope with various changes in pattern classification between normal and pathological voices. This paper proposes a method to improve pathological/normal voice classification performance by combining heterogeneous features. Different combinations of auditory-based and higherorder features are investigated. Their performances are measu...

this paper presents a data envelopment analysis (dea) model combined with bootstrapping to assess performance of one of the data mining algorithms. we applied a two-step process for performance productivity analysis of insurance branches within a case study. first, using a dea model, the study analyzes the productivity of eighteen decision-making units (dmus). using a malmquist index, dea deter...

Image mining is one the leading research area in the field of computer science. In this process, lung cancer is one of the most deadly disease in human body. It is the second most dangerous disease in the world. This work is mainly planned to increase the classification accuracy rate of lung cancer tissue classification in magnetic resonance (MR) imaging and reduce the processing time using Cla...

background: we aimed to assess the high-risk group for suicide using different classification methods includinglogistic regression (lr), decision tree (dt), artificial neural network (ann), and support vector machine (svm). methods: we used the dataset of a study conducted to predict risk factors of completed suicide in hamadan province, the west of iran, in 2010. to evaluate the high-risk grou...

In this paper, we propose a new video genre detection using semantic classification with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features. From the low-level multimodal features, genre as high-level semantic meaning is detected by using GINI index in Classification And Regression Tree (CART) algorithm. Experimental results show that the proposed method is u...

For classification problems in psychology (e.g., clinical diagnosis), batteries of tests are often administered. However, not every test or item may be necessary for accurate classification. In the current article, a combination of classification and regression trees (CART) and stochastic curtailment (SC) is introduced to reduce assessment length of questionnaire batteries. First, the CARTalgor...

For classification problem, the training data will significantly influence the classification accuracy. When the data set is highly unbalanced, classification algorithms tend to degenerate by assigning all cases to the most common outcome. Hence, it is important to select the suitable training data for classification in the imbalanced class distribution problem. In this paper, we propose cluste...

define impurity using the log-rank test. As in CART, growing a tree by reducing impurity ensures that terminal nodes are populated by individuals with similar behavior. In the case of a survival tree, terminal nodes are composed of patients with similar survival. The terminal node value in a survival tree is the survival function and is estimated using those patients within the terminal node. T...