Index

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

A

ALL_MINING_MODEL_ATTRIBUTES, Preface, 5.1

ALL_MINING_MODEL_SETTINGS, Preface, 5.1, 5.1.3

ALL_MINING_MODELS, Preface, 5.1, 5.1.1

ALL_OBJECTS, Preface

ALTER ANY MINING MODEL, 4.3

ALTER MINING MODEL, 4.4

anomaly detection, 7.2.1, 7.2.2

Apriori, 7.2.1, 7.3.1

association, 7.2.2, 7.3.1, 7.3.2, 7.4.2

attribute importance, 7.2.1, 7.2.2, 7.3.1, 7.3.2

attributes, 5.1.2

AUDIT, 4.3, 5.4

AUDIT_TRAIL parameter, 5.4.1

Automatic Data Preparation, 7.2.2

B

binning, 7.3.1, 7.3.2

C

catalog views, Preface, 5.1

chopt utility, 2.3

classification, 7.2.1, 7.2.1, 7.2.2, 7.3.1, 7.3.2

CLASSPATH, 7.1.4.2

clipping, 7.3.1, 7.3.2

clustering, 7.2.1, 7.2.2, 7.3.1, 7.3.1, 7.3.2

COMMENT, 4.3, 5.1.1, 5.4.2

COMMENT ANY MINING MODEL, 4.3

COMMENT ANY MODEL, 5.3

COMPATIBLE parameter, 6.4

connection name, 3.3

cost matrix, 4.4

CREATE ANY DIRECTORY, 5.5.4

CREATE ANY MINING MODEL, 4.3

CREATE MINING MODEL, 1.3, 4.2, 4.3

D

data dictionary views, Preface, 5.1

Data Mining option, 2.1

enable or disable, 2.3

data mining user, 2.1, 2.6.1, 3.2, 4

Database Companion

See Database Examples

Database Configuration Assistant, Preface, 1.1, 7.1.1

Database Examples

installation, 2.4

sample programs, 7.1

database file location, 2.1

database tuning, Preface

Database Upgrade Assistant, 6.2, 6.2

DBA

database tuning, Preface

production database, Preface, 2

DBA_AUDIT_OBJECT, 5.4.4

DBA_MINING_MODEL_ATTRIBUTES, 5.1

DBA_MINING_MODEL_SETTINGS, 5.1

DBA_MINING_MODELS, 5.1, 6.4

DBA_OBJ_AUDIT_OPTS, 5.4.4

DBA_OBJECTS, Preface

DBA_REGISTRY, 6.4

DBMS_DATA_MINING, 5.1.2, 7.2

DBMS_DATA_MINING_TRANSFORM, 7.2

DBMS_DATA_MINING.DROP_MODEL, 6.5

Decision Tree, 7.2.1, 7.3.1

demo programs

See sample programs

DHCP, 2.1

directory objects, 5.5.4

DM$P_MODEL_EXPIMP_TEMP table, 5.5.6

DM$P_MODEL_IMPORT_TEMP table, 5.5.6

DM$P_MODEL_TABKEY_TEMP table, 5.5.6

DMEIDMSYS, 6.3.2

dmshgrants.sql, 1.6, 5.5.7.3, 7.1.2, 7.1.2

dmsh.sql, 7.1.2, 7.4

DMSYS, Preface, 6.3.2

downgrading, 6, 6.5, 6.5

DROP ANY MINING MODEL, 4.3

E

Enterprise Edition, 2.1, 2.1

EXPDP, 5.5.1

EXPLAIN, 2.6, 2.6.3, 7.3.2

exporting, 2.6.3, 4.2, 5.5, 6.3, 7.3.1, 7.3.2

F

feature extraction, 7.2.1, 7.2.2, 7.3.1, 7.3.2

G

Generalized Linear Models, 7.2.1, 7.2.1, 7.2.2, 7.3.2

GET_MODEL_DETAILS, 5.1.2

GLM

See Generalized Linear Models

global database name, 2.1, 3.3

I

IMPDP, 5.5.1

importing, 2.6.3, 4.2, 5.5, 6.3, 7.3.1, 7.3.2

INIT.ORA, Preface

installation

Data Mining sample programs, 7.1

Oracle Client, 3.5.1

Oracle Data Miner, 2.5

Oracle Database, 2.1

Oracle Database Examples, 2.4

Oracle Spreadsheet Add-In for Predictive Analytics, 2.6

J

Java API, Preface, 6.1.1, 7, 7.3

Java API sample programs, 7.3

Java API text mining, 7.3.3

JDM 1.0 standard, 7.3

JSR-73 specification, 7.3

K

k-Means, 7.2.1, 7.3.1

L

linear regression, 7.2.1, 7.2.2, 7.3.1

logistic regression, 7.2.1, 7.2.2, 7.3.1

loopback adapter, 2.1

M

market basket data, 7.4.2

memory tuning parameters, Preface

Microsoft Excel, 1.5, 2.6, 2.6.2, 3.6

Microsoft Windows, 2

Minimum Description Length, 7.2.1, 7.3.1

mining models

about, 5

adding a comment, 5.3

applying, 4.4

auditing, 5.4

changing the name, 4.4

listing, 5.1

object privileges, 4.4

N

Naive Bayes, 7.2.1, 7.3.1, 7.3.1

Net Configuration Assistant, 2.6.1, 3.5.1

Net Service Name, 2.6.1, 3.5.2

new features, Preface

NMF

See Non-Negative Matrix Factorization

Non-Negative Matrix Factorization, 7.2.1, 7.2.1, 7.2.3, 7.3.1, 7.3.1, 7.3.3

normalization, 7.3.1, 7.3.2

O

object privileges, 4.4

O-Cluster, 7.2.1, 7.3.1

One-Class SVM, 7.2.1

Oracle base directory, 2.1, 2.4

Oracle Client

connect, 3.5

install, 3.5.1

required for Spreadsheet Add-In, 2.6.1

Oracle Data Miner, Preface, 3.1, 3.4

Oracle Data Pump, 5.5

Oracle Database

Enterprise Edition, 2.1, 2.1

install, 2.1

local, 3.3

remote, 3.5

Oracle home directory, 2.1, 2.4, 2.4, 2.6.3, 3.5.1, 7.1.2, 7.1.2, 7.1.4.1, 7.1.4.2

Oracle Net, 3.5

Oracle Objects for OLE, 2.6.1

Oracle services, 2.1

Oracle Spreadsheet Add-In for Predictive Analytics

install, 2.6.2

Net Service Name, 3.5, 3.5.2

start, 2.6.3

Oracle Text, 7.2.1

ORACLE_BASE, 2.1

ORACLE_HOME, Preface

P

parallel execution, Preface

PGA_AGGREGATE_TARGET, Preface

PL/SQL API, 3.1, 6.1.1

PL/SQL sample programs, 7.2

PL/SQL text mining, 7.2.3

PMML, 5.6

port number, 3.3

PREDICT, 2.6, 2.6.3, 7.3.2

predictive analytics, 2.6, 3.5, 7.3, 7.3.1, 7.3.1, 7.3.1, 7.3.1, 7.3.1, 7.3.2

privileges for data mining, 2.1, 3.2, 4, 4, 5.5.3, 7.1

privileges for exporting and importing, 5.5.3

privileges for running sample programs, 7.1, 7.1.2

production database, Preface, 2

PROFILE, 2.6, 2.6.3, 7.3.2

R

regression, 7.2.1, 7.2.1, 7.2.2, 7.3.1, 7.3.2

S

sample mining models, 7.1.5

sample programs, 2.4, 7

configuration scripts, 4.2, 7.1, 7.1.2

data used by, 7.4

find, 7.1.3

install, 7.1.1

Java, 7.1.4.2, 7.3

PL/SQL, 7.2

run, 7.1.4, 7.1.4.3

user, 4.2, 7.1

sample schemas, 7.1

scoring

java programs, 7.3.1

model signature, 5.1.2

privileges for, 4.3.1

Scoring Engine, 6.1.2

security, 4

SELECT ANY MINING MODEL, 4.3

SELECT MINING MODEL, 4.4

SGA_TARGET, Preface

SH schema, 7.1.1, 7.1.2, 7.4

shared cursor, Preface

SID, 3.3

software location

See Oracle home directory

Spreadsheet Add-In

See Oracle Spreadsheet Add-In for Predictive Analytics

start, 2.6.3

SQL AUDIT, 5.4

SQL COMMENT, 5.3

SQL Developer, 3.1, 3.3

SQL*Plus, 3.1, 3.2

starter database., 2.1

Support Vector Machine, 7.2.1, 7.2.3, 7.3.1, 7.3.3

SVM

T

term extraction, 7.2.1, 7.2.3

text mining, 7.2.1, 7.2.1, 7.2.3, 7.3.1, 7.3.3, 7.4.3

transformations, 7.3.1

U

upgrading, 6.1

USER_AUDIT_OBJECT, 5.4.4

USER_MINING_MODEL_ATTRIBUTES, 5.1

USER_MINING_MODEL_SETTINGS, 5.1

USER_MINING_MODELS, 5.1

USER_OBJ_AUDIT_OPTS, 5.4.4

users, 2.1, 3.3, 5.5.3, 5.5.3, 7.1, 7.1.2