Data Mining and Neural Networks
Data Mining using Neural Networks
... enormous data and it need to have tremendous processing power by the servers to maintain this valuable data and ...to data storage Erasure coding exhibits much success in the area of data ...
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Predictive Data Mining with Normalized Adaptive Training Method for Neural Networks
... Predictive data mining is an upcoming and fast-growing field and offers a competitive edge for the benefit of ...optimizing neural networks for prediction purpose and to utilize it for the ...
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Data mining methods in the prediction of Dementia: A real data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests
... and data mining ...of data mining, with classifiers like Neural Networks (NN), Support Vector Machines (SVM), Classi- fication Trees (CT) and Random Forests (RF) used for medical ...
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Performance Analysis of Various Data Mining Classification Techniques using Neural Networks
... of data classification is maybe one of the most generally studied in data mining as well as machine learning ...of data classification includes a wide variety of different problems domains ...
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ECG Signal Analysis and Classification using Data Mining and Artificial Neural Networks
... for data acquisition and classification ...Artificial Neural Networks (ANN) and data mining techniques using intelligent data miner ...
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Neural Networks in Data Mining
... training data, when the output become accurate as expected, Adjustment then stopped, otherwise adjustment of weight continuously run on until it give expected ...biological neural network and artificial ...
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Twitter Texts’ Quality Classification using Data Mining and Neural Networks
... Available data in social networks, on-line chats, or blogs are considered sources of information. The perception of quality and credibility of information sources are essential to be able to discard low ...
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An Efficient Identification of Malnutrition with Unsupervised Classification Using Logical Decision Tree Algorithm
... Supervised Data Mining Techniques—Artificial Neural Networks And Decision Trees [5]: This article demonstrates how a coding system at the meal level might be analyzed by using data ...
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A data mining framework to model consumer indebtedness with psychological factors
... of Neural Networks and Multinomial Logistic Regression for original variables in the three-class classification, a fact that raises some questions regarding their contribution to the level of Debt ...
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ON MODELING TRACES IN A COMPUTING ENVIRONMENT FOR HUMAN LEARNING BASED INDICATORS
... Milan Kumari et al. [2] solve cardiovascular disease dataset using different data mining algorithms, such as: Support Vector Machine, Artificial neural networks (ANNs), Decision Tree, and ...
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MAXIMIZED RESULT RATE JOIN ALGORITHM
... several data mining techniques, artificial neural networks (ANNs), support vector machine (SVM) and Bayesian classifier, to construct an optimum breast cancer prediction ...The data of ...
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Data Mining Techniques to Find Out Heart Diseases: An Overview
... medical data leads to the need for powerful data analysis tools to extract useful ...huge data available within the healthcare ...in data. Knowledge discovery and data mining ...
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Review on Financial Forecasting Using Neural Network and Data Mining Technique
... market data are highly time-variant and are normally in a nonlinear pattern, predicting the future trend ...dominant data mining technique used in stock market prediction so far is neural ...
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A STUDY ON DIFFERENT APPROACHES OF OUTLIER DETECTION IN DATA MINING
... between data mining method and statistical outlier detection ...Replicator Neural Networks (RNN) for Outlier Detection in Data ...
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Suitability of neural network for weather forecasting: a comprehensive literature review
... different data mining techniques can used for prediction of rainfall for daily ,monthly and yearly with various parameter and thus it provides better result ...of neural networks is their ...
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Intelligent Computational Techniques for Crops Yield Prediction and Fertilizer Management over Big Data Environment
... Title: Data Mining Technology with Fuzzy Logic, Neural Networks and Machine Learning for Agriculture Paper Concept: This paper resolves the problem arisen by farmer‟s decision making for ...
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Knowledge Discovering in Corporate Securities Fraud by Using Grammar Based Genetic Programming
... of data mining ...model, Neural Networks (NNs), Sequential minimal optimiza- tion (SMO), Radial Basis Function (RBF) networks, Bayesian networks and Grammar Based Genet- ic ...
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Why only data mining? a pilot study on inadequacy and domination of data mining technology
... with data mining’ we discover that what will happen and why? (Nakasima ...). Data mining integrates the various technologies like statistics, machine learning and databases(Irshad ...of ...
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Neural Network in Data Mining
... Data Mining means mine data from huge amount of ...web data etc. In data mining classification of data is very difficult task that can be solving by using different ...
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A NOVEL APPROACH TO PREDICT THE STUDENTS ACADEMIC CONCERT THROUGH DATA MINING TECHNIQUES
... Support Vector Machine (SVM) is a supervised machine learning algorithm [4] which can be used for both classification and regression [5][6] challenges. However, it is mostly used in classification problems. Even though ...
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