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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
See also scoring
settings, 5.1.3, 5.1.3
upgrading, 6.1
viewing, 4.4
model details, 5.1.2
model signature, 5.1.2

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
See Also One-Class SVM
See Support Vector Machine
SYS, Preface, 2.1
system privileges, 4.3

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