In this paper, we propose a decision tree based coding mode selection method for the AMR-WB+ audio coder. In order to obtain improved performance with reduced computation, decision tree classifier is adopted with the closed loop mode selection results as the target classification labels. To secure the practical feasibility of this method, the size of the decision tree is controlled by pruning. ...

Decision rule acquisition is widely used in data mining and machine learning. In this paper, the limitations of the current approaches to reduct for evaluating decision ability are analyzed deeply. Two concepts, i.e. information entropy and information quantity, and the process of constructing decision tree for acquiring decision rule are introduced. Then, the standard of classical significance...

fuzzy decision tree (fdt) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. when a fdt induction algorithm utilizes stopping criteria for early stopping of the tree's growth, threshold values of stopping criteria will control the number of nodes. finding a proper threshold value for a stopping crite...

in today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. in respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. commercial organiza...

assessing seismic hazards involves specifying the likelihood, magnitude and location of earthquakes in a region. predicting the seismic hazards is the first step in reducing the impact of the damage caused by an earthquake.  in this study, to fully utilize all the known parameters which may possibly affect the occurrence of earthquakes (mb ≥ 4.5); a data-driven rule-extraction method called the...

background : data mining has an interdisciplinary field including various scientific disciplines such as: database systems, statistics, machine learning, artificial intelligence and the others. in the field of medical, data mining algorithms can help physicians to diagnose diseases and chose the best type of treatment. hepatocellular carcinoma has the most common type of liver cancer. given the...

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...