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Data Mining - Mehmed Kantardzic [303]

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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

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