decision-tree based algorithm
A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... The overall error rate of our decision tree algorithm (0.93%) is comparable, and somewhat surpasses the 1.3–1.5% rates reported in [6, 12, 16], although it should be noticed that, unlike in those ...
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Research on Face Recognition Algorithm Based on LBP and DT SVM Decision Tree
... each decision node is solved with a SVM two classifier. SVM Decision tree method for K class classification problem, only the construction of k-1 SVM ...SVM decision tree has the ...
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Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification
... of tree ensembles by choosing a single representative model out of ensemble of multiple decision-tree ...this tree selection methodology to a popular ensemble algorithm (majority ...
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Presentation of customer foreclosure model of e-banking services using decision tree and data mining method
... moves based on their behavioral characteristics and offer acceptable offers to the ...paper. Based on this, by creating the proper database of the former clients of the Ayandeh bank (given our placeholders, ...
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Classifying High-Speed Data Streams Using Statistical Decision Trees
... incremental decision tree algorithm called StARMiner Tree (ST), which is based on Very Fast Decision Tree (VFDT) system, deals with numerical data and uses a method ...
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A Survey on Decision Tree Algorithm for Classification
... C5.0 algorithm is an extension of C4.5 algorithm which is also extension of ...classification algorithm which applies in big data ...sample based on the field that provides the maximum ...
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Generating Optimized Decision Tree Based on Discrete Wavelet Transform Kiran Kumar Reddi* 1Ali Mirza Mahmood2 K.Mrithyumjaya Rao 3
... as decision trees, SVM, neural networks, Bayesian belief networks, Genetic algorithm ...creating decision trees are from data and rule, popularly known as Data based decision ...
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Checking Language Dependent Accuracy of Web Applications using Data Mining Techniques
... CART algorithm was introduced by Leo Brieman et ...is based on greedy approach in which decision trees are constructed in divide and conquer, top-down, ...“honest” tree is identified. It ...
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Automated Screening for Three Inborn Metabolic Disorders: A Pilot Study
... a decision tree, based on classification algorithm for the data on three metabolic disorders, enabling us to take decisions on the screening and clinical diagnosis of a ...classification ...
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A Decision Tree Algorithm Based System for Predicting Crime in the University
... The result of this work showed how to deal with crime prediction using decision tree techniques. Data mining had been applied in various areas of security, crime and criminal detection. In this study, ...
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Handling Missing Value in Decision Tree Algorithm
... a decision tree algorithm introduced in 1986 by Quinlan ...is based on Hunts algorithm. The tree can be built in two ...are tree building and pruning. Basic idea of ID3 ...
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An Algorithm to Construct Decision Tree for Machine Learning based on Similarity Factor
... Knowledge discovery in databases (KDD) [2], often called data mining, extracting information and patterns from data in big data base. The core functionalities of data mining are applying various techniques to identify ...
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Learning Multi-Tree Classification Models with Ant Colony Optimization
... cases. Decision trees have been widely used as a type of classification model that represent com- prehensible knowledge to the ...multiple decision trees, one for each class value. Each class-based ...
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DLRS:Deep Learning Based Recommender System for Smart Healthcare Ecosystem
... Learning based Recommender System using software defined networking (SDN) is designed for smart healthcare ...reduction algorithm is proposed for removing unwanted dimensions in the acquired data, b) a ...
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Decision Tree Algorithm Based University Graduate Employment Trend Prediction
... changes. Decision tree algorithm is an efficient classification method, and it is also applicable in the prediction of employment ...C4.5 algorithm which was relatively mature was ...four ...
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Object Oriented Intelligent Multi-Agent System Data Cleaning Architecture To Clean Email Data
... the decision tree to identify the method/ procedure to be used in the cleaning ...a Decision Tree using ID3 algorithm. First, the algorithm fixes highest information gain ...
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A Cost sensitive Decision Tree Optimized Algorithm Based on Adaptive Mechanism
... Design of the Cost-sensitive Decision Tree Algorithm Based on Adaptive Mechanism Determination of Optimal Heuristic Function In this paper, the heuristic function of CS-C4.5 is improved [r] ...
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Hybrid Decision Tree and Naïve Bayes Classifier for Predicting Study Period and Predicate of Student’s Graduation
... system based on hybrid decision tree and naïve bayes classifier to predict the study period and predicate of ...of decision tree C4.5 algorithm and naive bayes classifier with ...
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A hybrid decision support model to discover informative knowledge in diagnosing acute appendicitis
... a decision tree tech- nique and constructed a convenient and accurate deci- sion support model that consisted of RLQ tenderness, the Alvarado score, migrating pain, and a neutrophil count > 75% for acute ...
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E Assessment Application using A DecisionTree in Predicting Teachers’ Information and Communication Technology (ICT) Competency Level
... teachers based from the model created from the different decision tree ...a decision tree to assess the level of ICT knowledge and by using the standardized ...The algorithm used ...
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