Data Mining - Mehmed Kantardzic [302]
cartesian product
concentration
dilation
intersection
normalization
union
Fuzzification
Gain function
Gain-ratio function
Gaussian membership function
Gene
Generalization
Generalized Apriori
Generalized modus ponens
Genetic algorithm
Genetic operators
crossover
mutation
selection
Geometric projection visualization
GINI index
Glyphs
Gradviz
Graph mining
Centrality
Closeness
Betweenness
Graph compression
Graph clustering
Gray coding
Greedy optimization
Grid-based rule
Growth function
Hamming distance
Hamming networks
Hard limit function
Heteroassociation
Hidden node
Hierarchical clustering
Hierarchical visualization techniques
Histogram
Holdout method
Hubs
Hyperbolic tangent sigmoid
Hypertext
Icon-based visualization
Induction
Inductive-learning methods
Inductive machine learning
Inductive principle
Info function
Information visualization
Information retrieval (IR)
Initial population
Interesting association rules
Internet searching
Interval scale
Inverse document frequency
Itemset
Jaccard coefficient
Kernel function
Knowledge distillation
Large data set
Large itemset
Large reference sequence
Lateral inhibition
Latent semantic analysis (LSA)
Learning machine
Learning method
Learning process
Learning tasks
Learning theory
Learning rate
Learning system
Learning with teacher
Learning without teacher
Leave-one-out method
Lift chart
Line chart
Linear discriminant analysis (LDA)
Linguistic variable
Local gradient
Locus
Logical classification models
Log-linear models
Log-sigmoid function
Longest common sequence (LCS)
Loss function
Machine learning
Mamdani model
Manipulative visualization
Multivariate analysis of variance (MANOVA)
Market basket analysis
Markov Model (MM)
Hidden Markov Model (HMM)
Max-min composition
MD-pattern
Mean
Median
Membership function
Metric distance measure
Minkowski metric
Min-max normalization
Misclassification
Missing data
Mode
Model
estimation
selection
validation
verification
Momentum constant
Moving average
Multidimensional association rules
Multifactorial evaluation
Multilayer perceptron
Multiple discriminant analysis
Multiple regression
Multiscape
Mutual neighbor distance (MND)
Naïve 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