decision tree learning system
Word Sense Disambiguation Using Decision Tree Method Rekha Thankappan , Kala.M.T, Dibin Joseph, Abstract PDF IJIRMET160405004
... occurs.Supervised Decision Tree Machine Learning Method is used in the proposed WSD ...REPTree decision tree learner is used to generate the model files to predict word ...
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Cramers V Test Discretization Based Spatial Decision Tree Learning for Land Cover Classification
... maximization (CAIM)-based association index (CAIMAI), derived from the CV-test value, are then proposed to select the optimal feature subset. The rest of paper is organized as follows; section 2 explains the background ...
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Oblique Decision Tree Learning Approaches A Critical Review
... SVM-ODT that exploits the benefits of multiple splits over single attributes and combines them with Support Vector Machine (SVM) techniques to take advantage of the accuracy of combined splitting on correlated numeric ...
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User preference tree based personalized online learning managment system
... Intelligent decision is the key technology of smart ...in decision-making ...This system is intended to show the things occurred in between the searches happened in the place of client and ...This ...
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Issues in Optimization of Decision Tree Learning: A Survey
... removal system to provide superior quality association ...The system discovers all hyperclique patterns for a given h-confidence threshold and removes any objects that are not belonging to any hyperclique ...
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An Effecient Fake News Detection System Using Machine Learning
... Machine learning algorithms play a vital role in fake news detection; Especially NLP (Natural Language Processing) algorithms are very useful for detecting the fake ...machine learning classifiers SVM, ...
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Decision Tree: A Machine Learning for Intrusion Detection
... IV. EXPERIMENTATION AND RESULT ANALYSIS The experimental analysis is done by evaluating our intrusion detection system on premier data set KDDCUP99.The implementation is done using Python on a windows platform. ...
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Usage of Data Mining Techniques in Predicting the Heart Diseases Decision Tree & Random Forest Algorithm
... of decision tree algorithm in the diagnosis of heart disease with considerable ...a system for diagnosing the congenital heart diseases using decision support ...The system also uses ...
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Decision support methods in diabetic patient management by insulin administration neural network vs induction methods for knowledge classification
... nervous system may appear to those patients that do not achieve an ‘optimal’ glycaemic ...developing decision support tools, which facilitate a consistent and objective decision making among ...
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Privacy Preserving Data Mining in Distributed System using RDT Framework
... several decision tree based learning task. Proposed system is based on the Random Decision Tree framework ...various learning tasks like ...distributed system, ...
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Object Oriented Intelligent Multi-Agent System Data Cleaning Architecture To Clean Email Data
... the system KMA is defined to have learning ...its learning characteristics to identify a suitable method/procedure to perform the Email ...the decision tree to identify the method/ ...
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Student Result Analysis System and Predicting Difficulty Level of Subject
... machine learning algorithm (C4.5 Decision Tree ...proposed system extract PDF file and convert into text file using java application which store text file into ...
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An Implementation of ID3 Decision Tree Learning Algorithm for Tax Fraud Control and Prevention System
... collection system is rampant because there is no proper structure for apportioning taxes/levies to petty shops, supermarkets saloons etc in the current or existing tax collection ...
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Optimum Crop Prediction using Data Mining and Machine Learning Techniques
... application system that will assist farmers in selecting the crop that is most suitable for his ...This system is better than other systems as it considers various parameters like soil color, soil moisture, ...
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User preference tree based personalized online learning managment system
... Content-based Filtering: This strategy uses the features of items for recommendation. These features may be used by case-based reasoning (CBR) or data mining techniques for recommendation. CBR assumes that if a user ...
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Performance Analysis of Machine Learning Techniques for Intrusion Detection
... detection system”, which is software, remains active during ...detection system helps in monitoring computers and computer networks, vulnerabilities or malicious ...the system networking protocols. ...
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A Machine Learning Approach to the Residential Relocation Distance of Households Living in the Seoul Metropolitan Region
... Keywords: residential relocation distance; residential movement; machine learning; decision tree.. 27.[r] ...
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Effective Decision Tree Learning
... effective decision tree (EDT) construction algorithm that uses a new error adjusting technique (NEAT) in constructing more accurate decision tree ...in decision tree ...
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Prediction Modeling of Boston Crime Data
... Keywords: Machine learning; decision tree; random forest; crime data analytics.. 20 21.[r] ...
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Post-disturbance transient stability assessment of power systems towards optimal accuracy-speed tradeoff
... ensemble learning tech- niques to predict transient stability status at each deci- sion cycle, and uses a credible decision-making rule to identify the credibility of the ELM ensemble ...power system ...
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