- split point (or a splitting subset) 1, 2, 3, 4, 5, 6, 7
- split-point 1, 2
- splitting attribute 1, 2, 3, 4, 5, 6
- splitting criterion 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- Splitting rule 1. See attribute selection measures
- splitting subset 1, 2, 3, 4, 5
- squashing function 1
- standard deviation 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- – example 1
- standarddeviation() 1, 2, 3
- statistical descriptions 1, 2
- statistical descriptions 1
- stepwise backward elimination 1
- stepwise forward selection 1
- stochastic fractal 1, 2
- supervised learning 1
- Support Vector Machines (linear, nonlinear) 1, 2, 3, 4, 5
- support vector machines (SVMs) 1, 2, 3, 4
- – nonlinear 1, 2, 3, 4
- – with sigmoid kernel 1
- SVMs. See support vector machines
- symmetric 1, 2, 3, 4, 5
- Synthetic Data Set 1
- tables 1
- – attributes 1
- – contingency 1
- terminating conditions 1, 2, 3
- threshold value 1, 2, 3, 4, 5, 6, 7
- Token concept 1
- tree branching structure 1
- trimmed mean 1
- trimodal 1
- t-Stat 1, 2, 3, 4, 5, 6
- unimodal 1
- unique rules 1, 2
- unit 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
- univariate and bivariate distributions 1
- univariate distribution 1
- unknown data 1, 2
- unsupervised learning 1
- updating 1, 2, 3
- values 1, 2, 3, 4, 5
- – exceptional 1
- – missing 1, 2
- – outlier values 1
- – residual 1
- – response 1
- Variables 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27
- variance 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- Variance() 1, 2, 3, 4, 5
- Variety 1, 2, 3, 4, 5
- Velocity 1, 2
- Veracity 1, 2
- Volume 1, 2, 3, 4, 5
- Weighted 1, 2, 3, 4
- – input 1
- – mean (or average) 1
- – outputs 1
- – sum 1, 2, 3, 4
- – total value 1
- whiskers 1, 2
- WIND data 1
- z-score normalization 1, 2
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