1. Index

Index

A  B  C  D  E  F  G  H  I  K  L  M  N  O  P  R  S  T  U  W  

A

  • accuracy 1, 2
  • active sampling 1
  • ADP
    • See: Automatic Data Preparation
  • Aggregates
    • performance 1
  • Algorithm
    • Data Preparation 1
    • ESA 1, 2, 3
    • Explicit Semantic Analysis
      • Data Preparation
        • ESA 1
      • Scoring 1
    • Large ESA 1
    • Neural Network 1
      • Scoring 1
    • Random Forest 1
      • Scoring 1
    • Scoring 1, 2, 3
      • Large ESA 1
  • algorithms 1, 2
    • Apriori 1, 2, 3, 4, 5
    • association 1
    • Decision Tree 1, 2
    • defined 1
    • Expectation Maximization 1, 2
    • Exponential Smoothing 1, 2
    • Generalized Linear Models 1, 2
    • k-Means 1, 2, 3
    • Minimum Description Length 1, 2
    • Naive Bayes 1, 2
    • Neural Network 1
    • Non-Negative Matrix Factorization 1, 2
    • O-Cluster 1, 2, 3
    • One-Class Support Vector Machine 1, 2
    • Principal Component Analysis 1, 2
    • Random Forest 1
    • Singular Value Decomposition 1, 2
    • supervised 1
    • Support Vector Machines 1
    • unsupervised 1
  • Algorithms
    • About Algorithm Meta Data Registration 1
    • About CUR Matrix Decomposition 1
    • About ESA 1
    • About Exponential Smoothing 1
    • About Neural Network 1
    • About Random Forest 1
    • Accumulation 1
    • Algorithm Meta Data Registration 1, 2
    • Building a Random Forest 1
    • Column selection or attribute selection and row selection 1
    • CUR matrix decomposition 1, 2, 3, 4, 5
    • Data preparation 1
    • double exponential smoothing 1
    • ESA 1, 2
    • Explicit Semantic Analysis 1
      • text mining 1
    • Exponential Smoothing 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
    • Exponential Smoothing Models 1, 2, 3, 4, 5, 6, 7
    • Input Data 1
    • Missing value 1
    • Neural Network 1, 2
      • Convergence Check 1
      • Forward-backward propagation 1
      • LBFGS_SCALE_HESSIAN 1
      • Loss or Cost function 1
      • Neuron and activation function 1
      • NNET_HELDASIDE_MAX_FAIL 1
      • Optimization Solver 1
      • Regularization 1
    • Parallellish by partition 1, 2
    • Prediction intervals 1
    • Random Forest 1, 2, 4
    • Seasonality 1
    • Simple Exponential Smoothing 1
    • Singular vectors 1
    • Statistical Leverage Score 1
    • Terminologies in Explicit Semantic Analysis 1
    • Text Mining 1
    • trend 1
    • Trend and Seasonality 1
  • anomaly detection 1, 4, 5, 6, 7
  • apply
    • See: scoring
  • Apriori 1, 2, 3
    • aggregates 1
    • example: calculating aggregates 1
    • excluding rules 1
    • including rules 1
    • minimum support count 1
    • reverse confidence 1
  • artificial intelligence 1
  • association rules 1, 3, 4, 5
  • attribute importance 1, 2, 3, 4, 5
    • CUR matrix decomposition 1
    • Minimum Description Length 1
  • attributes 1, 2
  • Automatic Data Preparation 1, 2, 3, 4

B

  • Bayes Theorem 1
  • binning 1, 2
    • equi-width 1, 2
    • supervised 1, 2

C

  • case table 1
  • categorical target 1
  • centroid 1, 2
  • classification 1, 2, 8
    • biasing 1
    • binary 1, 2
    • Decision Tree 1, 2
    • default algorithm 1
    • Generalized Linear Models 1, 2
    • logistic regression 1
    • multiclass 1
    • Naive Bayes 1, 2
    • one class 1
    • Support Vector Machines 1, 2
  • class weights 1
  • clustering 1, 3, 5
    • Expectation Maximization 1
    • hierarchical 1, 2, 3
    • K-Means 1
    • O-Cluster 1
    • scoring 1
  • coefficients
    • GLM 1
    • Non-Negative Matrix Factorization 1, 2
    • regression 1, 2
  • computational learning 1
  • confidence 1
    • Apriori 1, 2
    • association rules 1, 2
    • clustering 1
    • defined 1
  • confidence bounds 1, 2, 3
  • confusion matrix 1, 2, 3
  • cost matrix 1, 2
  • costs 1, 2
  • CUR matrix decomposition
    • configuration 1

D

  • data mining
    • defined 1
    • Oracle 1, 2
    • process 1
  • data preparation 1, 2
    • for Apriori 1
    • for Expectation Maximization 1
    • for Generalized Linear Models 1
    • for k-Means 1
    • for Minimum Description Length 1
    • for Naive Bayes 1
    • for Neural Network 1
    • for O-Cluster 1
    • for SVD 1
  • data warehouse 1
  • DBMS_DATA_MINING 1
  • DBMS_STAT_FUNCS 1
  • Decision Tree 1, 2
  • deployment 1
  • descriptive models 1
  • directed learning 1

E

  • embedded data preparation 1
  • entropy 1, 2, 3
  • Exadata 1
  • Expectation Maximization 1
  • Explicit Semantic Analysis 1, 2
  • Exponential Smoothing 1, 2

F

  • feature extraction 1, 3, 5, 7, 8
    • default algorithm 1
    • Explicit Semantic Analysis 1
    • Non-Negative Matrix Factorization 1
    • Principal Component Analysis 1
    • Singular Value Decomposition 1
  • feature generation 1, 2
  • feature selection 1, 2, 3
  • frequent itemsets 1, 2
  • Functions 1

G

  • Generalized Linear Models 1, 2
    • classification 1
    • feature selection and creation 1
    • regression 1
  • GLM
    • See: Generalized Linear Models
    • Solvers 1
  • graphical user interface 1

H

  • hierarchies 1, 2, 3

I

  • inductive inference 1
  • Interior Point Method 1
  • itemsets 1

K

  • kernel 1
  • k-Means 1, 2, 3

L

  • lift 1
    • association rules 1
    • classification 1
  • linear regression 1, 2, 3
  • logistic regression 1, 2

M

  • machine learning 1, 2
  • market basket data 1
  • market-basket data 1
  • MDL 1
    • See: Minimum Description Length
  • Minimum Description Length 1
  • Mining Function
    • classification 1
  • mining functions 1, 2
    • anomaly detection 1, 2, 3
    • association rules 1, 2, 3
    • attribute importance 1, 2, 3, 4
    • classification 1, 2, 8
    • clustering 1, 2, 4
    • feature extraction 1, 2, 4, 5
    • regression 1, 2, 5
    • time series 1
  • Mining functions
    • Time Series
      • Statistics 1
  • Mining Functions
    • Build apply 1
    • Conditional Log-Likelihood 1
    • Irregular Time Series 1
    • MSE 1
    • Prediction 1
    • Time Series 1, 2, 3, 4, 5
  • missing value treatment 1
  • model details 1, 2
  • multicollinearity 1
  • multidimensional analysis 1, 2
  • multivariate linear regression 1

N

  • Naive Bayes 1, 2
  • nested data 1
  • Neural Network 1
    • Configuration 1
  • NMF
    • See: Non-Negative Matrix Factorization
  • nonlinear regression 1
  • Non-Negative Matrix Factorization 1, 2
  • nontransactional data 1
  • numerical target 1

O

  • O-Cluster 1, 2, 3
  • OLAP 1, 2
  • One-Class Support Vector Machine 1, 2
  • Oracle Business Intelligence Suite Enterprise Edition 1
  • Oracle Database
    • kernel 1
    • statistical functions 1
  • Oracle Data Miner 1
  • Oracle OLAP 1
  • Oracle Spatial 1
  • Oracle Text 1
  • outliers 1, 2, 3
  • overfitting 1, 2

P

  • parallel execution 1, 2, 3, 4, 5
  • Partitioned model 1
  • PCA
    • See: Principal Component Analysis
  • PL/SQL API 1, 2
  • PREDICTION_PROBABILITY function 1
  • PREDICTION Function 1
  • predictive analytics 1
  • predictive models 1
  • Principal Component Analysis 1, 2
  • prior probabilities 1, 2

R

  • Random Forest 1
  • Receiver Operating Characteristic 1
  • Registration 1
  • regression 1, 2, 5
    • coefficients 1, 2
    • default algorithm 1
    • defined 1
    • Generalized Linear Models 1, 2
    • linear 1, 2
    • nonlinear 1
    • ridge 1
    • statistics 1
    • Support Vector Machine 1, 2
  • R extensibility 1
  • R extensible
    • Build and score with R 1
  • ridge regression 1
  • ROC
    • See: Receiver Operating Characteristic
  • R scripts registration 1
  • rules 1
    • Apriori 1
    • association rules 1
    • clustering 1
    • Decision Tree 1
    • defined 1

S

  • sampling 1
  • sampling implementation 1
  • scoring 1
    • anomaly detection 1
    • classification 1
    • clustering 1
    • defined 1
    • dynamic 1
    • Exadata 1
    • knowledge deployment 1
    • model details 1
    • Non-Negative Matrix Factorization 1
    • O-Cluster 1
    • parallel execution 1
    • real time 1
    • regression 1
    • supervised models 1
    • unsupervised models 1
  • singularity 1
  • Singular Value Decomposition 1
  • sparse data 1, 2
  • SQL data mining functions 1, 2
  • SQL statistical functions 1
  • star schema 1
  • statistical functions 1
  • statistics 1
  • stratified sampling 1, 2
  • Sub-Gradient Descent 1
  • supervised learning 1
  • support 1
    • Apriori 1, 2
    • association rules 1, 2
    • clustering 1
    • defined 1
  • Support Vector Machine 1, 2
    • classification 1, 2
    • Gaussian kernel 1
    • linear kernel 1
    • one class 1, 2
    • regression 1, 2
  • SVD
    • See: Singular Value Decomposition
  • SVM
    • See: Support Vector Machine

T

  • target 1, 2
  • text mining 1, 2
  • time series 1
  • transactional data 1, 2, 3
  • transformations 1
  • transparency 1, 2, 3, 4

U

  • unstructured data 1
  • unsupervised learning 1
  • UTL_NLA 1

W

  • wide data 1, 2