rule-based decision tree
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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A New Approach to Classify Tuples More Accurately
... classification based data mining techniques such as Rule based, Decision tree, Naïve Bayes and Artificial Neural Network to massive volume of healthcare ...effective decision ...
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Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning
... outperformed decision tree sys- tems and most hand-crafted ...method based on a simple rule generator and decision tree ...
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An Experimental Analysis of Various Data Mining Techniques for Software Bug Classification
... Decision Tree, Rule Based Classifier, Naïve Bayesian and SVM Classifiers are the eager learners, because in these approaches using the training data, classification model is constructed before ...
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Rule based Classification for Diabetic Patients using Cascaded K Means and Decision Tree C4 5
... learner: Decision tree classifier ...of Decision tree with unprocessed data compared to proposed cascaded k-means with Decision tree using processed data by means of TP rate, FP ...
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A Survey on Data Mining Techniques in Agriculture
... are Rule Based Classifiers, Bayesian Networks(BN), Decision Tree (DT), Nearest Neighbour(NN), Artificial Neural Network(ANN), Support Vector Machine (SVM), Rough Sets, Fuzzy Logic, Genetic ...
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Geometric Approach for Induction of Oblique Decision Tree
... Proposed method can be applied for two class and multiclass problem. We first explain our method by a two-class problem. For the Given the set of training patterns at a node, we first find two hyperplanes(one for each ...
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Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... association rule mining, classification using decision tree induction, clustering, prediction using a decision tree approach and building an application based on the knowledge ...
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Modified Tree Classification in Data Mining
... like Decision Tree Induction, Bayesian Classification, Rule- Based Classification, Classification by Backpropagation and classification by Lazy ...modified tree for classification in ...
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Decision Tree based Data Reconstruction for Privacy Preserving Classification Rule Mining
... In [20], the authors proposed a template-based technique to protect against the threats caused by data mining func- tionality. The technique focuses on two points: preserving the privacy of knowledge and increase ...
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Hybrid Decision Tree and Naïve Bayes Classifier for Predicting Study Period and Predicate of Student’s Graduation
... Decision tree is a very powerful and well-known classification ...The decision tree method transforms a fact into a decision tree that represents the ...rule. ...
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Building an Effective Intrusion Detection System using combined Signature and Anomaly Detection Techniques
... signature based detection model and an anomaly based detection ...anomaly based detection model known normal traffic information is ...filter based feature selection using genetic algorithm ...
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Detection of Fraud Transactions Using Recurrent Neural Network during COVID-19
... A rule based fraud detection scheme [5] has been proposed for recognising scams in telecommunication ...OneR, Decision tree, C4.5, Random Forests, Random Tree are implemented by [1] for ...
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“Interval Type-2 Fuzzy Logic Rule based Data mining for Steam Turbine Fault Analysis of a Power System Rotatory Machine Component”
... Fuzzy decision tree or Soft Decision Tree (SDT) classifier using interval type-2 fuzzy logic rule based data mining for steam turbine fault analysis of a power system rotatory ...
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MPCS: Myanmar Preposition Checking System
... Transformation Based Learning (TBL) Algorithm to the automatic correction of preposition errors in Myanmar ...uses rule templates to identify error-correcting ...these rule templates. In this work, ...
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Survey on Types of Bug Reports and General Classification Techniques in Data Mining
... different rule based classification techniques namely Decision tree, PART, RIPPER and RIDOR based on tuple-id propagation ...four rule based classifier across multiple ...
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Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... association rule mining, classification and prediction, and ...of decision tree based (M5P), neural network based (Multilayer Perceptron), nearest neighbour based (K-Star) and ...
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Performance Study on Rule-based Classification Techniques across Multiple Database Relations
... A decision tree [19], [11] has flow-chart like tree structure and is generated by a recursive divide-conquer ...this tree, every internal node indicates a test on an attributes and each branch ...
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Decision Degree-based Decision Tree Technology for Rule Extraction
... inducing decision tree are testified to be a simplified and feasible way for constructing decision ...called decision degree, and a new significance measure for rules extraction of ...
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Decision tree rule-based feature selection for imbalanced data
... The main idea of an embedded method is to incorporate the feature selection as a part of a training process, which means that it relies on the classification. Therefore, the search for an optimal subset of features is ...
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