Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce.
Vikas SinghRahul K. GuptaRahul Kumar SevakulaNishchal K. VermaPublished in: ICIIS (2016)
Keyphrases
- logistic regression
- random forest
- comparative analysis
- decision trees
- fold cross validation
- gaussian mixture model
- big data
- random forests
- cloud computing
- map reduce
- support vector
- feature vectors
- naive bayes
- feature set
- mixture model
- data management
- em algorithm
- feature space
- expectation maximization
- machine learning
- maximum likelihood
- classification accuracy
- data analysis
- base classifiers
- ensemble methods
- training set
- open source
- text classification
- loss function
- data processing
- feature extraction
- training samples
- support vector machine
- prior knowledge
- image classification
- unsupervised learning
- association rules
- social networks
- databases