decision tree based classification
Suite of decision tree-based classification algorithms on cancer gene expression data
... All experiments described in this paper were performed using libraries from Weka 3.7.1 machine learning environment [28]. A lot of studies used Weka in classification task, for examples [26,29]. Nine selected ...
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Performance Analysis on Uncertain Data using Decision Tree
... develop classification models for uncertain ...studies decision tree based classification methods for uncertain data using Averaging and Distribution ...the decision tree ...
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A Comprehensive and Experimental Survey on Medical Data Classification and Pattern Recognition R. Subathra Devi
... data classification and pattern recognition ...data classification methods majorly divided into three categories such as supervised, classification and also semi-supervised ...data ...
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Marathi/Hindi to English Transliteration of Named Entity using WEKA Tool
... In this section we provide the previous work done on the transliteration systems using machine learning techniques. Antony P J, Ajith VP, and Soman KP of Amrita University, Coimbatore proposed three different approaches ...
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Decision Tree Clustering and Classification Based One-To-Many Data Linkage
... Generalization is the most prevalent method for table anonymity, and it can also be valuable when inducing k- anonymous decision trees. In generalization, an attribute value is replaced with a less specific but ...
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Performance Evaluation of Lazy, Decision Tree Classifier and Multilayer Perceptron on Traffic Accident Analysis
... and classification techniques have been extensively used for analyzing a dataset of road accident ...clustered based data might fetch information at a higher level as compared without clustered ...using ...
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A Survey Paper on Phishing Attacks with New Unsupervised Learning Model
... Decision tree induction is the learning of decision trees from class labeled training ...A decision tree is a flow chart like tree structure, where each internal node denote a ...
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Zebrafish Larvae Classification based on Decision Tree Model: A Comparative Analysis
... Despite the rapid growth in the use of zebrafish embryos as an experimental model, there is still a lack of automated classification systems according to several challenges. Screening the zebrafish eggs and larvae ...
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A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... 1.1. Former Studies. The topic of speech/music classification was studied by many researchers. Table 1 summarizes some of these studies. It can be seen from the table that, while the applications can be very di ff ...
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A Survey on Decision Tree Algorithm for Classification
... In classification, the cases are placed in differing ...for classification based data mining. Some of them include decision tree, k-Nearest Neighbor, Bayesian and Neural-Net ...
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Single decision tree classifiers' accuracy on medical data
... the decision problem becomes difficult to visualize and ...Thus, decision trees are indispensable graphical tools in such settings as it allows for intuitive understanding about the problem and can aid in ...
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Decision Tree Algorithms for Diagnosis of Cardiac Disease Treatment
... Decision tree learning has main ...understand. Decision tree is same as tree ...the tree is the root node. Every hub in the tree indicates a test on some quality and each ...
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Framework of Classification Algorithms
... extraction, classification, clustering, ...management. Classification is one of the primary assignments in document ...three classification algorithms to be specific Decision Tree ...
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Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... mining, classification and prediction, and ...these classification techniques are supervised learning techniques to classify data item into predefined class ...construct classification models from an ...
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STUDY ON DECISION TREE COMPETENT DATA CLASSIFICATION
... often based on prediction on ...standard decision tree leads to a quadratic optimization problem with bound constraints and one linear equality ...“Decision Tree Induction” that ...
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Packet Classification Using Bit-Vector Algorithm In Network And Security Systems
... packet classification owning good effects in attacking ...GPGPU based parallel packet classification method to filter packets by leveraging thousands of ...processors decision tree ...
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A Survey on Data Mining Techniques in Agriculture
... the classification model when classifying examples in the test set unseen during training is one of the major goals of classification ...mining classification algorithms can follow three different ...
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Utilization of Data mining Approaches for Prediction of Life Threatening Diseases Survivability
... three classification algorithms, decision tree, and Bayesian classifier and back propagation neural network, to construct classification ...the classification rules the decision ...
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Io workload characterization of windows based analysis using birch algorithm
... and classification techniques. Classification has been identified as an important problem in the emerging field of data ...on decision tree classifiers. Decision tree classifiers ...
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Prediction of Heart Disease using RNN Algorithm
... which tree in the forests makes the best classification of the data points (in the dataset the right classification is ...known).The tree with the most predictive power is shown as output by ...
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