Data Mining by Mehmed Kantardzic (good book recommendations TXT) 📕

Bayesian classifier

N-dimensional data

N-dimensional space

N-dimensional visualization

N-fold cross-validation

Necessity measure

Negative border

Neighbor number (NN)

Neuro-Fuzzy system

Nominal scale

Normalization

NP hard problem

Null hypothesis

Objective function

Observational approach

OLAP (Online analytical processing)

Optimization

Ordinal scale

Outlier analysis

Outlier detection

Outlier detection, distance based

Overfitting (overtraining)

PageRank algorithm

Parabox

Parallel coordinates

Parameter identification

Partially matched crossover (PMC)

Partitional clustering

Pattern

Pattern association

Pattern recognition

Pearson correlation coefficient

Perception

Perceptron

Pie chart

Piecewise aggregate approximation (PAA)

Pixel-oriented visualization

Population

Possibility measure

Postpruning

Prediction

Predictive accuracy

Predictive data mining

Predictive regression

Prepruning

Principal Component Analysis (PCA)

Principal components

Projected database

Pruning decision tree

Radial visualization (Radviz)

Random variable

Rao’s coefficient

Ratio scale

Ratios

Receiver operating characteristic (ROC)

Receiver operating characteristic (ROC) curve

Regression

Logistic

Linear

Nonlinear

Multiple

Regression equation

Resampling methods

Resubstitution method

Return on investment (ROI) chart

Risk functional

Rotation method

RuleExchange

RuleGeneralization

RuleSpecialization

RuleSplit

Sample

Sampling

average

incremental

inverse

random

stratified

systematic

Saturating linear function

Scaling

Scatter plot

Schemata

fitness

length

order

Scientific visualization

Scrubbing

Sensitivity

Sequence

Sequence mining

Sequential pattern

Similarity measure

Simple matching coefficient (SMC)

Single-link method

Smoothing data

Spatial data mining

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