Flood Delineation using Decision Tree (DT) Analysis
PERFORMANCE ANALYSIS ON DECISION TREE AND SVM CLASSIFICATION WITH REFERENCE TO FLOOD OCCURRENCES IN INDIA
... scarcity. Flood damage estimation is one of the important factors to the way in the depth of the flood and predicts the future ...to flood. A data of flood damages for twelve years collected ...
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Analysis and Classification of Vehicle using KNN and Decision Tree
... On highways lanes are defined to each class. For example, Heavy vehicle should be in third or fourth lane which is found sometimes in first or second lane and presence of two whee- lers on highway. These kinds of rules ...
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Performance Analysis on Uncertain Data using Decision Tree
... Decision tree is a simple and popular technique in classification model so it is widely used method for classification ...practical. Decision tree algorithms begin with a set of cases, or ...
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Protocol Analysis in Intrusion Detection Using Decision Tree
... Figure 2. Data Structure and temporary ones. Permanent data refer to all informa- tion useful during the total execution of the protocol (for example the login name in a telnet session) whereas tem- porary data are those ...
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Student’s Performance Analysis using Decision Tree Algorithms
... including decision tree method. In this work, decision trees were used which include BFTree, J48 and ...different Decision tree algorithms ...
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The Tree to Success: Using Decision Tree Analysis to Predict Employee Performance and Health
... decision tree analysis provide benefits to the practice of personnel decision-making.. RQ 2 : When modeling key organizational outcomes (i.e., employee performance and.[r] ...
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An Insight into “Decision Tree Analysis”
... “Decision Tree Analysis” Kapil Mittal, Dinesh Khanduja, Puran Chandra Tewari Abstract Decision making is a regular exercise in our daily ...bad decision can ruin whole planning and ...
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Predicting and Analysis of Student Performance Using Decision Tree Technique
... by using analysis techniques for measuring the student performance, instructor ...performance using classification technique such as decision ...
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Efficient fault tree analysis using binary decision diagrams
... The radial basis function neural network model again performs a non-linear mapping from a set of input units that represent the fault tree characteristics to a s[r] ...
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Flood Emergency Response System Using Multiple Criteria Decision Analysis
... Criteria Decision Analysis (MCDA) In this current world, flood issues need to be dealt with in a more comprehensive ...holistic flood management vision can be realized through the application ...
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Decision tree modeling using R
... Author’s introduction: Zhongheng Zhang, MMed. Department of Critical Care Medicine, Jinhua Municipal Central Hospital, Jinhua Hospital of Zhejiang University. Dr. Zhongheng Zhang is a fellow physician of the Jinhua ...
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DETECTION OF GLUCOMA USING DECISION TREE
... 1,2 Department of CSE, Francis Xavier Engineering College, Tirunelveli. ABSTRACT Glaucoma is a neurodegenerative disorder of the optic nerve, which causes partial loss of vision. Large number of people suffers from eye ...
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An Analysis of Decision Tree Models for Diabetes
... generate decision tree models for classification using LAD tree, NB tree and a Genetic J48 ...The decision tree based classifier models study includes various parameters ...
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A Study and Analysis of Decision Tree Based Classification algorithms using R
... data analysis, data driven discovery and deductive ...classification, decision tree is used to estimate group relationships for exact data instances and helps to elevate the cause of ...five ...
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Analysis and Prediction of Heart Disease Using Decision Tree and Naive Bayes
... effective analysis tools to discover relationships in data especially in medical ...including Decision tree and Naïve Bayes ...,Decision tree and Naïve Bayes are applied and performance ...
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Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... in decision making. This paper analyses the data using data mining technique called ...naïve-Bayes, decision tree and random-forest) are implemented on the dataset ...
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Ontology Mapping using Fuzzy Decision Tree and Formal Concept Analysis
... Fuzzy decision tree construction The measures listed above are grouped into five distinct ...construct decision tree we use a table with manually mapped entity pairs and their aggregate ...
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Classification and Analysis of High Dimensional Datasets using Clustering and Decision tree
... Unusual decision tree methods will implement different technologies to settle these ...etc. Decision tree support tool that uses tree-like graph or models of decisions and their ...
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An Analysis of the Genomes of Dengue Virus Using Decision Tree and Apriori Algorithm
... The decision tree data showed several ...the decision tree data provided by Go et ...the decision tree data, however, we found that position 2 in Dengue viruses presented many ...
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Decision Support System Using Decision Tree and Neural Networks
... ABSTRACT Decision making in a complex and dynamically changing environment of the present day demands a new techniques of computational intelligence for building equally an adaptive, hybrid intelligent ...
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