Decision Tree
Real Life Applications of Fuzzy Decision Tree
... Decision tree induction[25] has been widely used in extracting knowledge from feature based examples for classification and ...decision-making. Decision tree induction algorithms ...
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Issues in Optimization of Decision Tree Learning: A Survey
... parallelizing decision tree algorithm, intra-node and the inter-node ...for decision tree construction on shared and distributed memory ...parallel decision trees that overcome ...
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DECISION TREE ALGORITHM AND MAPREDUCE TECHNOLOGY: A REVIEW
... cation. The ef . B. R. Patel a information g orithms, decis recent issues i m called as PD s supposed to time delays. P n their paper p nal decision tr nput output co orithm improv e parallel imp uce framewor also ...
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Efficient Algorithms for Decision Tree Cross-validation
... Most decision tree induction algorithms assume that all data reside in main ...a tree from a large database, this may not be realistic: data have to be loaded from disk into main memory when needed, ...
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Structure and Majority Classes in Decision Tree Learning
... a decision tree from classified training examples expressed in an attribute-value description ...the tree by associating a path from the root to a leaf (the rule condition) with the majority class at ...
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Privacy-preserving decision tree for epistasis detection
... a decision tree was used to search for pathogenic SNP ...in decision tree to ensure that the SNP data privacy information is not leaked during the epistasis ...
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Patient decision aids: a content analysis based on a decision tree structure
... Overall strategy in Personal Stories describes the cases in which personal stories suggest that the person has employed a certain strategy over the entire decision tree. Strategies like “ Try out everything ...
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Assessment of Decision Tree Algorithms on Student’s Recital
... a decision tree model to predict loyal student to increase educational ...common decision tree algorithms and found CART performed well followed by ...of decision tree algorithms ...
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Decision Degree-based Decision Tree Technology for Rule Extraction
... of decision trees is a well-known approach for knowledge discovery in databases ...[18-25]. Decision trees can systematically analyze information contained in a large amount of data source to extract ...
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Evolutionary Algorithms in Decision Tree Induction
... final decision tree: to check whether a decision tree, say T, is generalizable, it is necessary to evaluate its performance on the test set in terms of misclassification error by comparing the ...
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A Decision Tree Model for Software Development Teams
... that decision tree applications have also been applied in the field of educational data mining due to their ease and simplicity that enables educational researchers to sort out different patterns of data ...
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Decision Tree: A Machine Learning for Intrusion Detection
... the decision tree is to frame the data so that it contains both the root node and the leaf ...node. Decision trees can examine information and recognize critical qualities in the system that ...
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Hyper-heuristic decision tree induction
... This decision tree building algorithm uses the Gini index for finding binary splits that yield the “purest” partitions with respect to the ...the decision tree nodes is that such nodes would ...
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Managerial Optimism Level and Investment Decision: Decision Tree Analysis
... investment decision. We introduce an approach based Decision Tree analysis with a series of semi-directive ...investment decision (investment, overinvestment or under-investment in the short ...
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CLASSIFICATION OF BRAIN TUMORS BY USING DECISION TREE
... The acronym CART stands for Classification And Regression Trees. Both categorical and continuous attributes to build a decision tree can efficiently handle by CART. It handles missing values also. CART uses ...
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PREDICTION OF STUDENT RESULT USING DECISION TREE
... The Prediction system allows predicting the academic result and generating reports to provide a base for making academics decisions for higher authorities. Decision tree method is used on student's database ...
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Identifying Intrusion Patterns using a Decision Tree
... a decision tree where each internal node denotes an attribute, each branch represents an outcome of the test, and leaf nodes represent classes or class ...a tree is the root node. The tree is ...
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Handling Missing Value in Decision Tree Algorithm
... Missing attribute values are a common occurrence in data, either through errors made when the values were recorded or because they were judged irrelevant to the particular case. Such lacunae affect both the way that a ...
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Geometric Approach for Induction of Oblique Decision Tree
... The performance of any top-down decision tree algorithm depends on the measure used to rate different hyperplanes at each node and the split criteria. The problem of having a suitable algorithm to find the ...
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STUDY ON DECISION TREE COMPETENT DATA CLASSIFICATION
... like tree structure, where each internal node denotes a test on an attribute, each branch denotes an outcome of test, and each leaf node holds a class ...a tree is the root node ...tuple. Decision ...
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