Index

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

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A

algorithm settings

SVM Regression, 13.11.4.6

System Determined Kernel, 13.11.4.6.1

algorithms

classification, 8.14.1.4

Generalized Linear Model, 8.14.1.4

Generalized Linear Models, 8.14.2.3

Naive Bayes, 8.14.1.4

O-Cluster, 13.9.1

Support Vector Machine, 8.14.2.3

SVM, 13.11.1

Anomaly Detection

data, 8.5.4

Anomaly Detection Node, 8.5

advanced model settings, 8.5.5

context menu, 8.5.7

creating, 8.5.2

default behavior, 8.5.1

editing, 8.5.3

properties, 8.5.6

architecture

Data Miner, 1.4

area under the curve, 12.1.1.3

Association Node, 8.6

advanced settings, 8.6.4

behavior, 8.6.1

context menu, 8.6.5

creating, 8.6.2

editing, 8.6.3

properties, 8.6.6

Automatic Data Preparation, 8.2

average accuracy, 12.1.1.1.2

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B

benefit

tab, 12.2.3

binary target, 8.14.1

Binning, 7.10.4.1.1

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C

classification

algorithms, 8.14.1.4

apply, 8.14.1.3

build, 8.14.1.1

overview, 8.14.1

score, 8.14.1.3

test, 12.1

Classification Model

test viewer, 12.1.2.1

components pane, 4.1.4

connection

creating, 2.2

properties, 2.2.3.1

connections

Connections tab, 2.2.1

Data Miner tab, 2.2.2

editing, 2.2.3.1

managing, 2.2.3

removing, 2.2.3.2

tab, 2.2.1

viewing, 2.2.3.1

context menu

Anomaly Detection Node, 8.5.7

Association Node, 8.6.5

Create Table or View Node, 5.1.1.6

Explore Data Node, 5.3.1.3

Graph Node, 5.4.3.2

JSON Query Node, 7.8.4

nodes, 4.4.9

Sample Node, 7.9.5

SQL Query Node, 5.5.4.3

Update Table Node, 5.6.3.3

workflows, 4.2.6.10

Context Menu

Data Source Node, 5.2.3.7

cost

performance measure, 12.1.1.1.4

tune settings, 12.2.2

cost matrix, 12.2.6.2

Costs and Benefits, 12.2.2.1

Create Table or View Data

viewing, 5.1.1.5

Create Table or View Node

about, 5.1

creating, 5.1.1.1

editing, 5.1.1.3

creating

nodes, 4.4.1

project, 3.1

workflow, 4.2.2

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D

Data Miner

architecture, 1.4

documentation, 1.9.5

Oracle By Example tutorials, 1.9.1

overview, 1.3

Data Mining

definition, 1.1

forum, 1.9.4

process, 1.1

Data Mining Process, 1.1

data mining project, 3

create, 3.1

data preparation

automatic, 8.2

manual, 8.2.2

numerical, 8.2.1

Data Source Node

context menu, 5.2.3.7

creating, 5.2.3.1

defining, 5.2.3.2

editing, 5.2.3.5

properties, 5.2.5

running, 5.2.3.6

supported data types, 5.2.1

viewing, 5.2.4

data table names, 4.2.6.4

data types

Data Source Node, 5.2.1

pseudo JSON, 5.2.1

Transform Node, 7.10.2

Update Table Node, 5.6.2

data viewer

Explore Data NOde, 5.3.2

Transform Node, 7.2

Update Table Node, 5.6.4

database connection, 2

database roles

Oracle R Enterprise, 5.5.3.1

Decision Tree, 8.14.1.4

define

data source, 5.2.3.2

delete

project, 3.2

density estimation, 13.4

deploy

nodes, 4.4.9.6

workflow, 4.4.9.6

deploying workflows

data query scripts, 4.2.8.1

object generation scripts, 4.2.8.2

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E

Epsilon Value, 13.12.3

Expectation Maximization, 13.4

Explore Data Node

context menu, 5.3.1.3

creating, 5.3.1.1

editing, 5.3.1.2

properties, 5.3.3

Explore Node Calculations, 5.3.1.4

exporting

Explore Node calculations, 5.3.1.4

Expression Builder

functions, 7.3.1

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F

Feature Extraction, 11.2.1.2

Filter Columns Details

about, 7.5

creating, 7.5.1

Filter Rows Node

about, 7.6

creating, 7.6.1

editing, 7.6.2

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G

Gaussian Kernel

algorithm settings, 13.11.4.3.2

Generalized Linear Models, 8.14.1.4, 8.14.2.3

Graph

editing, 5.4.6

viewing data, 5.4.5.2

Graph Node

about, 5.4

creating, 5.4.3.1

editing, 5.4.5

properties, 5.4.7

supported data types, 5.4.2

types, 5.4.1

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I

import

workflow, 3.2

import requirements

workflow, 4.2.6.3

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J

Join

about, 7.7

Join Node

creating, 7.7.1

editing, 7.7.2, 7.7.2.1

JSON

settings, 5.2.3.4

JSON Query Node

about, 7.8

creating, 7.8.1

editor, 7.8.2

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L

Lift, 12.1.1.4, 12.2.5

graph, 12.1.2.1.8

linear regression, 8.14.1.4, 8.14.2.3

link

cancelling, 4.4.7.5

deleting, 4.4.7.4

nodes, 4.4.7

Link nodes, 4.4.7

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M

Model

properties, 8.4

model viewers

SVM, 13.11.4.1

models

Anomaly Detection Node, 8.1

Association Node, 8.1

classification, 8.14.1

Classification Node, 8.1

Clustering Node, 8.1

Feature Extraction Node, 8.1

Model Details Node, 8.1

Model Node, 8.1

Regression Node, 8.1

SVM, 13.11.2

multiclass target, 8.14.1

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N

Naive Bayes, 8.14.1.4

nodes

about, 4.3

adding, 4.4.1

comment, 4.3.1

copying, 4.4.3

creating, 4.4.1

editing, 4.4.2

editing parallel settings, 4.6.2

linking, 4.4.7

name, 4.3.1

position, 4.4.8

refreshing, 4.4.6

running, 4.4.5

states, 4.3.3

types, 4.3.2

Normalization, 7.10.4.1.10

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O

O-Cluster, 13.9

algorithm, 13.9.1

Oracle Enterprise Manager Jobs, 4.2.10

Oracle Text Lexer, 11.1

Orthogonal Partitioning Clustering, 13.9

Outlier, 7.10.1.5

overall accuracy, 12.1.1.1.3

Overview

Data Miner, 1.3

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P

Parallel Processing

about, 4.5

editing preferences, 4.6.3

node settings, 4.6

support, 4.5.2

use cases, 4.5.1

workflow settings, 4.6

performance matrix, 12.1.1.2

Performance Matrix, 12.1.2.1.2

Predictive Confidence, 12.1.1.1.1

formula, 12.1.1.1.1

prerequisites

Data Mining, 2.1.1

Profit, 12.1.2.1.10, 12.2.6

using, 12.2.6

Profit and ROI, 12.1.1.5

example, 12.1.1.5.1

use case, 12.1.1.5.2

project, 3

create, 3.1

creating new, 3.2

deleting, 3.2, 3.2.1

expanding, 3.2.2

managing, 3.2

name restrictions, 3.1.1

renaming, 3.2

Propensity, 13.11.4.1.7

properties, 4.1.6

Anomaly Detection Node, 8.5.6

Association Node, 8.6.6

Create Table or View Node, 5.1.1.7

Data Source Node, 5.2.5

Explore Data Node, 5.3.3

Graph Node, 5.4.7

JSON Query Node, 7.8.3

nodes, 4.4.2.2

Sample Node, 7.9.4

SQL Query Node, 5.5.5

Update Table Node, 5.6.5

workflow, 4.1.5

workflows, 4.2.6.9

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R

R Script

support, 5.5.3

receiver operating characteristic

statistics, 12.1.1.3

Receiver Operating Characteristics, 12.1.1.3, 12.2.4.2

regression

apply, 8.14.2.2

build, 8.14.2.1

score, 8.14.2.2

testing, 12.3

Regression Statistics, 12.3.2

rename

project, 3.2

Residual, 12.3.3.1.2

Residual Plot, 12.3.1

ROC, 12.1.2.1.5

tuning steps, 12.2.4.1

Tuning tab, 12.2.4

using, 12.1.1.3.1

ROC curves, 12.1.1.3

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S

Sample Data, 1.9.2

Sample Node

about, 7.9

creating, 7.9.2

editing, 7.9.3

properties, 7.9.4

scripts

data query, 4.2.8.1

object generation, 4.2.8.2

requirements, 4.2.9

using SQL worksheet, 4.2.9.4

using SQL*Plus, 4.2.9.4

variable definition, 4.2.9.2

workflow, 4.2.8.3

Select Data Guide, 5.2.3.3

SQL Query

restrictions, 5.5.2

SQL Query Node

context menu, 5.5.4.3

creating, 5.5.4.1

editor, 5.5.4.2

inputs, 5.5.1

properties, 5.5.5

SQL tab, 7.2.4

SQL Worksheet, 4.2.9.4

Support Vector Machine, 8.14.1.4, 8.14.2.3

supported data types

Graph Nodes, 5.4.2

SVM algorithm, 13.11.1

SVM models

coefficients, 13.11.4.1.3, 13.11.4.4.3

compare, 13.11.4.1.5

settings, 13.1.2.1.1, 13.6.2.1.7, 13.7.2.1.6, 13.9.2.1.2, 13.11.4.1.8, 13.11.4.4.6

SVM Regression

algorithm settings, 13.11.4.6

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T

test

Classification models, 12.1

metrics for Classification Models, 12.1.1

text concepts, 11.1

stoplist, 11.1

stoptheme, 11.1

stopword, 11.1

theme, 11.1

text mining, 11.2

Text Mining, 1.9.1

Text preparation, 11.2.1.2

text processing, 11.2.1.1

Transform Node

about, 7.10

Aggregation, 7.1

creating, 7.10.3

editing, 7.10.4

Expression Builder, 7.3

Filter Columns, 7.4

Transform Nodes

types, 7

Transformation

custom definitions, 7.10.4

defining, 7.10.4

tuning

Classification Models, 12.2

removing, 12.2.1

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U

Update Table Node

about, 5.6

context menu, 5.6.3.3

creating, 5.6.3.1

editing, 5.6.3.2

inputs and outputs, 5.6.1

properties, 5.6.5

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V

viewing

Data Miner tab, 2.1.2

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W

workflow

about, 4.1

compatibility, 4.2.6.5

creating, 4.2.2

deleting, 4.2.3

deploying, 4.2.8

exporting, 4.2.6.1

import requirements, 4.2.6.3

importing, 4.2.6.2

loading, 4.2.5

locking and unlocking, 4.2.7.2

managing, 4.2.6

name restrictions, 4.2.2.1

prerequisites, 4.2.1

properties, 4.1.5

renaming, 4.2.4

running, 4.2.7

sequence, 4.1.1

terminology, 4.1.2

thumbnail, 4.1.3

thumbnail view, 4.1.3

workflow controls

managing workflows, 4.2.6.8

Workflow Editor, 4.1.4.2

workflow scripts

requirements, 4.2.9

running, 4.2.8.3