[PDF] Top 20 Twitter Texts’ Quality Classification using Data Mining and Neural Networks
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Twitter Texts’ Quality Classification using Data Mining and Neural Networks
... Twelve feature selection methods have been effectively compared and evaluated on terms of their Information Gain against a benchmark of 229 text classification problem instances. For the evaluation process, the ... See full document
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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
... (Neural Networks (MLP and RBF) and SVM) are also the classifiers with the lowest ...of classification efficiency for small frequency ...and Neural Networks ...some data ... See full document
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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 ... See full document
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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 ... See full document
7
Spatial Data Mining Using Novel Neural Networks for Soil Image Classification and Processing
... spatial data mining uses spatial dependency that is prevalent on spatial data sets, which can be modeled and incorporated into data mining ...a data pre- processing step, ... See full document
5
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 ... See full document
6
ECG Signal Analysis and Classification using Data Mining and Artificial Neural Networks
... disease classification. The proposed method uses Modular neural network (MNN) model to classify arrhythmia into normal and abnormal ...Arrhythmia data set. Missing attribute values of this ... See full document
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... developed using four data mining classification modelling ...four data mining classification techniques were applied namely Naive Bayes, Neural Networks, ... See full document
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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 ... See full document
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A COMPARISON OF CLASSIFIERS PERFORMANCE FOR PESTICIDE USAGE AND TOXICITY CATEGORIZATION TO CONTROL EXCESSIVE PRACTICES
... The data mining classification techniques like decision tree, neural networks, Support vector machine ...toxicity classification helps to classify the toxic levels in pesticides ... See full document
16
Comparative Analysis of Various Data Mining Techniques on Educational Datasets
... as classification (If-Then) rules, decision tree, mathematical formula or neural ...small data. Decision tree induction algorithms can be used for classification in many application areas, ... See full document
5
A Comparison of Supervised Learning Algorithms for the Income Classification
... population data are needed for every country for purposes of planning, development, and ...Census data can provide the basic population data of any ...and data mining tasks in order to ... See full document
7
Title: Evolving Neural Network for Kernel Principal Component Analysis
... artificial neural networks (ANN ), that tune their parameters without a teacher on the basis of the self-learning paradigm [ 3-5 ], are widely used in solving various problems of Data Mining, ... See full document
8
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 ... See full document
5
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... between neural networks and decision ...train neural networks than decision ...of networks based on how the networks are interconnected – feed- forward neural ... See full document
150
A Survey on Multimedia Data Mining Using Deep Learning
... Multimedia data is present on the Internet or web, Multimedia data mining is one of best for ...Multimedia mining is a form of data mining. In Data mining various ... See full document
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A NOVEL APPROACH TO PREDICT THE STUDENTS ACADEMIC CONCERT THROUGH DATA MINING TECHNIQUES
... both classification and regression [5][6] ...in classification problems. Even though it’s considered that Neural Networks are easier to use than this, however, sometimes unsatisfactory results ... See full document
8
Sentiment Classification Via Recurrent Convolutional Neural Networks
... sentiment classification are primarily based on statistical machine learning, and their performance strongly depends on the quality of the extracted ...convolutional neural network for text ... See full document
9
Interpreting Public Sentiments Variation by using FB LDA Technique
... media. Twitter is one of the social media that is gaining ...for twitter sentiment analysis is an approach to be used to computationally measure customer ... See full document
5
Polarity Classification Using Twitter Data
... training data, and therefore can be very limited for SA due to out of vocabulary words and phrases, and different meanings of words in different contexts (Pang and Lee, ...tweets using unigram features and ... See full document
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