An Evaluation of Selection Method in the Classification of Scada Datasets Based on the Characteristics of the Data and Priority of Performance.
Jaime YeckleSherif AbdelwahedPublished in: ICCDA (2017)
Keyphrases
- synthetic data
- classification method
- data sets
- training samples
- test data
- input data
- dimensionality reduction methods
- database
- classification scheme
- raw data
- classification accuracy
- support vector machine svm
- preprocessing
- gene expression microarray data
- evaluation method
- missing data
- machine learning methods
- benchmark data sets
- pairwise
- noisy data
- statistical methods
- cross validation
- data structure
- classification algorithm
- high dimensional datasets
- data processing
- support vector machine
- data points
- bayesian methods
- data analysis
- pattern classification
- ordinal data
- classification process
- clustering method
- benchmark datasets
- similarity measure
- training data
- prior knowledge
- feature set
- data collection
- data acquisition
- text classification
- dimensionality reduction
- data sources
- extracted features
- training dataset
- feature vectors
- high dimensional
- model selection
- feature selection
- receiver operating characteristic curves
- machine learning
- selecting relevant features