Data Mining - Mehmed Kantardzic [303]
Autoregressive model
Spatial outlier
Specificity
Split-info function
SQL (Structured query language)
SSE (Sum of squares of the errors)
Standard deviation
Star display
Statistics
Statistical dependency
Statistical inference
Statistical learning theory (SLT)
Statistical methods
Statistical testing
Stochastic approximation
Stopping rules
Strong rules
Structure identification
Structural risk minimization (SRM)
Summarization
Supervised learning
Support
Survey plot
Survival data
Synapse
System identification
Tchebyshev distance
Temporal data Mining
Sequences
Time series
Test of hypothesis
Testing sample
Text analysis
Text database
Text mining
Text-refining
Time lag (time window)
Time series, multivariate
Time series, univariate
Training sample
Transduction
Traveling salesman problem (TSP)
Trial and error
True risk functional
Ubiquitous data mining
Underfitting
Unobserved inputs
Unsupervised learning
Value reduction
Variables
continuous
discrete
categorical
dependent
independent
nominal
numeric
ordinal
periodic
unobserved
Variance
Variogram cloud technique
Vapnik-Chervonenkis (VC) theory
Vapnik-Chervonenkis (VC) dimension
Visual clustering
Visual data mining
Visualization
Visualization tool
Voronoi diagram
Web mining
content
HITS(Hyperlink-Induced Topic Search) algorithm
LOGSOM algorithm
path-traversal patterns
structure
usage
Web page content
Web page design
Web page quality
Web site design
Web site structure
Widrow-Hoff rule
Winner-take-all rule
XOR problem