Detail Summery about Classification and Prediction, Other classification methods, Classification by decision tree induction, Bayesian classification, Rule-based classification, Classification by back propagation.
Uploaded by: amit mohta
Downloads : 2
University: Moradabad Institute of Technology (MIT)
Subject: Data Mining
Tags: classification by backpropagation, neural network as a classifier, a neuron, a multi, layer feed, forward neural network, how a multi, layer neural network works?, initial input, WeigHT, and bias values .
Upload date: 03/09/2011
Data Mining - Classification by Backpropagation
This document about Classification by Backpropagation, Neural Network as a Classifier, A Neuron , A Multi-Layer Feed-Forward Neural Network , How A Multi-Layer Neural Network Works?, Initial input, weight, and bias values .
Data Mining - Classification by Decision Tree Induction
Detail Summery about Presentation of Classification Results, Visualization of a Decision Tree in SGI/MineSet 3.0, Rainforest: Training Set and Its AVC Sets, Repetition , Enhancements to Basic Decision Tree Induction, Overfitting and Tre...
Data Mining - Associative Classification
In this document description about Classification and Prediction, What is classification?, Issues regarding classification and prediction, Classification by decision tree induction, Bayesian classification, Rule-based classification.
Data Mining - Classification and Prediction - Issues
In this document topics covered which are Classification and Prediction, Evaluating Classification Methods, Accuracy, Speed, Robustness, Scalability.
Data Mining - Classification and Prediction - Prediction
Summary about Classification and Prediction, Prediction: Categorical Data, Predictive Modeling in Multidimensional Databases, Regression Trees and Model Trees, Other Regression-Based Models, Linear Regression .
Data Mining - Classification and Prediction - Model selection
In this document topics covered which are Classification and Prediction, Classifier Accuracy Measures, Predictor Error Measures, Evaluating the Accuracy of a Classifier or Predictor (I), Model selection, Prediction.
Data Mining - Classification and Prediction- Intro
In this document topics covered which are Classification and Prediction, Use of Prediction, Informal prediction from hypothesis , Opinion Polls , Supernatural , Example of scientific hypothesis and prediction .