Index

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

A

add-in

See Oracle Spreadsheet Add-In for Predictive Analytics

ADP

See Automatic Data Preparation

ALL_MINING_MODEL_ATTRIBUTES, Preface, 6.1, 6.1.2

ALL_MINING_MODEL_SETTINGS, Preface, 6.1, 6.1.3

ALL_MINING_MODELS, Preface, 6.1, 6.1.1

ALL_OBJECTS, Preface

ALTER ANY MINING MODEL, 4.2

ALTER MINING MODEL, 4.3

anomaly detection, 1.4

Apriori, 1.4, 1.4

association rules, 1.4, 7.4.2

attribute importance, 1.4

attributes, 6.1.2

AUDIT, 4.2, 6.3, 6.3.2, 6.3.4

AUDIT ANY, 4.2

AUDIT_TRAIL parameter, 6.3.1

Automatic Data Preparation, 7.1.1, 7.1.1, 7.1.1

B

batch scoring, Preface

binning, 1.4

C

catalog views, Preface, 6.1

classification, 1.4

CLASSPATH, 1.4.3

clipping, 1.4

CLUSTER_ID, 7.1.2, 7.1.2

CLUSTER_PROBABILITY, 7.1.2

CLUSTER_SET, 7.1.2, 7.1.2

clustering, 1.4

COMMENT, 4.2, 6.1.1, 6.3.2

COMMENT ANY MINING MODEL, 4.2

COMMENT ANY MODEL, 6.2

cost matrix, 4.3

CREATE ANY DIRECTORY, 6.4.1.1

CREATE ANY MINING MODEL, 4.2

CREATE MINING MODEL, 4.1.1, 4.2

D

data dictionary views, Preface, 6.1

Data Mining demo user, 1.3, 2.1, 2.3.3, 2.3.3, 4.1, 5.2

Data Mining option, 1.1

Data Mining user, 2.1, 2.3.3, 2.3.3, 5.2

Database Companion, 1.2

database tuning, Preface

DBA_AUDIT_OBJECT, 6.3.4

DBA_MINING_MODEL_ATTRIBUTES, 6.1

DBA_MINING_MODEL_SETTINGS, 6.1

DBA_MINING_MODELS, 6.1

DBA_OBJ_AUDIT_OPTS, 6.3.4

DBA_OBJECTS, Preface

DBMS_DATA_MINING, 7.1

DBMS_DATA_MINING_TRANSFORM, 7.1

Decision Tree, 1.4, 1.4

demos

See sample programs

directory objects, 6.4.1

DM$P_MODEL_EXPIMP_TEMP table, 6.4.4

DM$P_MODEL_IMPORT_TEMP table, 6.4.4

DM$P_MODEL_TABKEY_TEMP table, 6.4.4

DM_NESTED_NUMERICALS, 7.3, 7.3

DMEIDMSYS, 3.1.3

DMSH, 1.3, 2.3.3, 7.3.1.2, 7.4

DMSHGRANTS, 1.3, 2.3.3

DMSYS, Preface, 3.1, 3.1.2

downgrading, 3, 3.2, 3.2

DROP ANY MINING MODEL, 4.2

E

Enterprise Edition, 1.1

EXPDP, 6.4

EXPLAIN, 5.1

EXPORT_MODEL, 6.4.2

exporting, 1.4, 3.1.3, 4.1.1, 6.4, 6.4.5

F

feature extraction, 1.4

FEATURE_ID, 7.1.2

FEATURE_SET, 7.1.2

FEATURE_VALUE, 7.1.2

G

Generalized Linear Models, 1.4, 7.1.1, 7.2.1

GET_MODEL_DETAILS, 6.1.2

GLM, 1.4

See Generalized Linear Models

I

IMPDP, 6.4

IMPORT_MODEL, 6.4.2

importing, 1.4, 3.1.3, 4.1.1, 6.4, 6.4.5.2

INIT.ORA, Preface

installation

Database Companion, 1.2

Oracle Client, 2.3.1

J

Java API, 1.4, 6.4.3, 7.2

javax.datamining.task.ExportTask interface, 6.4.3

javax.datamining.task.ImportTask interface, 6.4.3

JDM 1.0 standard, 6.4.3, 7.2

JSR-73 specification, 6.4.3, 7.2

K

k-Means, 1.4, 1.4, 7.1.2

L

linear regression, 1.4, 1.4, 7.1.1

local database, 2.2

logistic regression, 1.4, 1.4, 7.1.1

M

memory tuning parameters, Preface

Minimum Description Length, 1.4

mining models

about, 6

adding a comment, 6.2

applying, 4.3

auditing, 6.3

changing the name, 4.3

listing, 1.4.5, 6.1

settings, 6.1.3

upgrading, 3.1

viewing, 4.3

model details, 6.1.2

model signature, 6.1.2

N

Naive Bayes, 1.4, 1.4, 1.4

nested tables, 7.3

new features, Preface

NMF

See Non-Negative Matrix Factorization

Non-Negative Matrix Factorization, 1.4, 1.4, 7.1.2

normalization, 1.4

O

object privileges, 4.3

O-Cluster, 1.4, 1.4, 7.1.2

One-Class SVM, 1.4, 7.1.2

Oracle Client, 5.2

Oracle Data Pump, 6.4

Oracle Database Upgrade Assistant, 3.1.2

Oracle Net Configuration Assistant, 2.4

Oracle Net Service Name, 2.2, 2.4, 2.4, 5.2

Oracle Objects for OLE, 5.2

Oracle Spreadsheet Add-In for Predictive Analytics, 5

Oracle Text, 1.4, 7.3

Oracle Universal Installer, 1.1

OraTextTransform interface, 7.3.2.1

P

parallel execution, Preface

PGA_AGGREGATE_TARGET, Preface

PL/SQL API, 1.4

PL/SQL sample programs, 7.1

PREDICT, 5.1

PREDICTION, 7.1.2, 7.1.2, 7.1.2, 7.1.2, 7.1.2

PREDICTION_COST, 7.1.2

PREDICTION_DETAILS, 7.1.2

PREDICTION_PROBABILITY, 7.1.2, 7.1.2, 7.1.2

PREDICTION_SET, 7.1.2, 7.1.2

predictive analytics, 1.4, 5

privileges for data mining, 1.3, 2.1, 2.1, 4, 4.1, 4.1.1, 5.2, 6.4.1.1, 6.4.1.2

PROFILE, 5.1

R

real-time scoring, Preface

regression, 1.4

remote database, 2.3

S

sample programs, 1.2, 2.3.3, 7, 7.1.2

data used by, 7.4

Java, 1.4, 1.4.3, 7.2

PL/SQL, 1.4, 1.4.2, 7.1

sample schemas, 1.1, 2.3.3

scoring, Preface, 7.1.2

security, 4

SELECT ANY MINING MODEL, 4.2

SELECT MINING MODEL, 4.3

settings, 6.1.3

SGA_TARGET, Preface

SH schema, 2.3.3, 7.4

shared cursor, Preface

Spreadsheet Add-In

See Oracle Spreadsheet Add-In for Predictive Analytics

SQL AUDIT, 6.3

SQL COMMENT, 6.2

SQL Data Mining functions, 7.1.2

SQL*Plus, 2.2

Support Vector Machine, 1.4, 1.4, 7.1.2

SVM

T

text mining, 1.4, 1.4, 7.1.2, 7.3, 7.4.3

transformations, 1.4

U

upgrading, 3.1

user ID, 1.3, 2.1, 2.1, 2.3.3, 4.1, 5.2, 6.4.1.2

USER_AUDIT_OBJECT, 6.3.4

USER_MINING_MODEL_ATTRIBUTES, 6.1

USER_MINING_MODEL_SETTINGS, 6.1

USER_MINING_MODELS, 1.4.5, 6.1

USER_OBJ_AUDIT_OPTS, 6.3.4

users, 6.4.1.2