Uploaded by: amit mohta
Downloads : 14
University: Moradabad Institute of Technology (MIT)
Subject: Data Mining
Tags: classification and prediction, bayesian theorem, basics, towards na, na, training dataset, avoiding the 0, probability problem.
Upload date: 03/09/2011
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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 .
Classification and Prediction - Data Warehousing - Lecture Slide
Some concept of Data Warehousing are Aggregate Functions, Applications and Trends in Data Mining, Classification and Prediction, Cluster Analysis, Data Mining Primitives, Data Warehousing Design. Main points of this lecture are: Classifi...
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 - 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.
Bayesian Approach-Computing and Statistical Data Analysis-Lecture 14 Slides-Physics
The harmonic mean estimator is numerically very unstable; formally infinite variance (!). Bayesian Approach, Equivalent, Error, Non Gaussian, Error on Error Function, Goodness of Fit, Discovery, Bayes Factor, Harmonic Mean Estimator, Imp...