decision-tree method
The Adaptability of Decision Tree Method in Mining Industry Safety Data
... how decision tree algorithm fits into mining ...of Decision Tree mining tool on a real-world safety records perfectly reveals useful information that are subsumed in the volume and nature of ...
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Cancer Identification VIA Weighted Entropy Method and Decision Tree Method
... the decision tree algorithm checks whether all the tuples possess same class label, then all the tuples will be grouped into one leaf ...the decision parameter x, then, ...
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A New Better Fit Decision Features Selection Method for C5 0 Decision Tree
... ideal decision tree method is easy, selecting better-fit decision features, especially multiple decision features, is extremely ...decision tree. This procedure will make ...
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Vol 61, No 4 (2018)
... the decision-making process such as time and profit, which are closely ...the decision-making activity of launching a new product in manufacturing, is presented the decision tree method ...
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Presentation of customer foreclosure model of e-banking services using decision tree and data mining method
... Using Decision Tree in the Banking Electronics Industry In this research, Crisp algorithm and decision tree method at the modeling stage are ...the decision tree does not ...
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An application of decision trees method for fault diagnosis of induction motors
... Abstract. Decision tree is one of the most effective and widely used methods for building classification ...the decision tree method as an effective solution to their field ...of ...
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Converting Declarative Rules into Decision Trees
... rule-based decision tree method for learning a single decision tree that approximates the classification decision of a majority voting ...Their method was proposed as a ...
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Analysis Comparison of The Classification Data Mining Method to Predictthe Decisions of Potential Customer Insurance
... a decision tree which is a very strong and thick classification and prediction ...The decision tree method transforms a very large fact into a decision tree that ...
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A Novel Method to Build a Fuzzy Decision Tree Based On Hedge Algebras
... networks, decision trees, ... In which, the decision tree method is popular due to its method of visualization, understanding and its performance ...a decision tree, at ...
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Analysis of Tree Based Supervised Learning Algorithms on Medical Data
... A decision tree method is powerful for classification and ...the decision making process in sequential decision ...A decision tree classifies various items of data by ...
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A Survey on Decision Tree Algorithm for Classification
... regression tree (CART) proposed by Breiman et ...non-parametric decision tree learning technique that produces either classification or regression trees, depending on whether the dependent variable ...
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A novel trio combo strategy for efficient team formation using hybrid triangulation mechanism
... critical decision that involves rationalism and logical diagnosing is the process of choosing a feasible employee for a given ...The method adopted for achieving the central theme of the article is to ...
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A Decision Tree Based Denoising Method for Removal of Impulse Noise in Images Processing
... proposed method. The result Denoising Method filtering perform better than any other techniques that have been dealt so ...then Decision Tree Based Method filtering always shows the ...
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Learning Discourse Relations with Active Data Selection
... Since the committee- based sampling method was originally devel- oped for probabilistic classifiers, we extended the method for a decision tree classifier, us-.. ing a statistical techni[r] ...
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IJCSMC, Vol. 7, Issue. 2, February 2018, pg.42 – 48 A HYBRID APPROACH FOR AN EFFICIENT CLASSIFICATION USING DECISION TREE AND SVM
... proposed method uses in its training phase with decision tree to reduce the training dataset for ...selection method Decision Tree approach ...proposed method reduces the ...
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A Power Grid Fault Diagnosis Method based on Ensemble Decision Tree
... grouping method and model integration, PGFD-EDT can construct a ensemble decision tree model, and then this model can diagnosis test data to obtain model's ...algorithm, decision tree ...
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Network Intrusion Detection Using Supervised Machine Learning Technique
... A security mechanism used to monitor the abnormal behavior of the network is an Intrusion Detection System(IDS). The IDS identifies and informs that whether the user activity is normal or not. The users activities are ...
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A Survey Paper on Phishing Attacks with New Unsupervised Learning Model
... building decision tree in the machine learning ...binary decision tree by splitting the records to each node, according to a function of a single ...of tree growing process, every ...
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Effective Decision Tree Learning
... The traditional decision tree (TDT) algorithm constructs a decision tree splitting each node into left and right nodes. Initially, the root node contains all the training tuples. The process ...
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EDUCATIONAL MODELLING IN CLOUD COMPUTING USING IMS LEARNING DESIGN
... Regression Tree (CART) Method. CART method is a method of classification with decision tree ...the decision tree output as a rules detection of car ...
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