Index

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

A


B


C


D

  • data mining
  • data preparation 1.2.2, 1.3.2
    • for Apriori 11.3
    • for Expectation Maximization 14.4
    • for Generalized Linear Models 17.6
    • for k-Means 18.3
    • for Minimum Description Length 19.2
    • for Naive Bayes 20.3
    • for Neural Network 21.2
    • for O-Cluster 23.3
    • for SVD 26.3
  • data warehouse 1.1.7
  • DBMS_DATA_MINING 2.5.1
  • DBMS_STAT_FUNCS 2.6
  • Decision Tree 3.2.1, 13
  • deployment 1.3.4
  • descriptive models 3.1.2
  • directed learning 3.1.1

E


F


G

  • Generalized Linear Models 3.2.1, 17
    • classification 17.8.1
    • feature selection and creation 17.3
    • regression 17.7
  • GLM
    • See: Generalized Linear Models
  • graphical user interface 2.5.3

H


I


K


L


M


N

  • Naive Bayes 3.2.1, 20
  • nested data 11.3.1
  • Neural Network 3.2.1
    • Configuration 21.3
  • NMF
    • See: Non-Negative Matrix Factorization
  • nonlinear regression 4.1.1.4
  • Non-Negative Matrix Factorization 3.2.2, 22
  • nontransactional data 8.2
  • numerical target 5.1

O


P


R


S


T


U

  • unstructured data 3.3.3
  • unsupervised learning 3.1.2
  • UTL_NLA 2.6

W