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Oracle® Data Mining Administrator's Guide
11g Release 1 (11.1)

B28130-04
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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

add-in
See Oracle Spreadsheet Add-In for Predictive Analytics
ADP
See Automatic Data Preparation
ALL_MINING_MODEL_ATTRIBUTES, Preface, 7.1, 7.1.2
ALL_MINING_MODEL_SETTINGS, Preface, 7.1, 7.1.3
ALL_MINING_MODELS, Preface, 7.1, 7.1.1
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, 8.4.2
attribute importance, 1.4
attributes, 7.1.2
AUDIT, 4.2, 7.3, 7.3.2, 7.3.4
AUDIT ANY, 4.2
AUDIT_TRAIL parameter, 7.3.1
Automatic Data Preparation, 8.1.1, 8.1.1, 8.1.1

B

batch scoring, Preface
binning, 1.4

C

catalog views, Preface, 7.1
classification, 1.4
CLASSPATH, 1.4.3
clipping, 1.4
CLUSTER_ID, 8.1.2, 8.1.2
CLUSTER_PROBABILITY, 8.1.2
CLUSTER_SET, 8.1.2, 8.1.2
clustering, 1.4
COMMENT, 4.2, 7.1.1, 7.3.2
COMMENT ANY MINING MODEL, 4.2
COMMENT ANY MODEL, 7.2
cost matrix, 4.3
CREATE ANY DIRECTORY, 7.4.1.1
CREATE ANY MINING MODEL, 4.2
CREATE MINING MODEL, 4.1.1, 4.2

D

data dictionary views, Preface, 7.1
Data Mining demo user, 1.3, 2.1, 2.3.4, 2.3.4, 4.1, 5.2, 6.2
Data Mining option, 1.1
Data Mining user, 2.1, 2.3.4, 2.3.4, 5.2, 5.2, 6.2
Database Examples, 1.2
database tuning, Preface
DBA_AUDIT_OBJECT, 7.3.4
DBA_MINING_MODEL_ATTRIBUTES, 7.1
DBA_MINING_MODEL_SETTINGS, 7.1
DBA_MINING_MODELS, 7.1
DBA_OBJ_AUDIT_OPTS, 7.3.4
DBA_OBJECTS, Preface
DBMS_DATA_MINING, 8.1
DBMS_DATA_MINING_TRANSFORM, 8.1
Decision Tree, 1.4, 1.4
demos
See sample programs
directory objects, 7.4.1
DM$P_MODEL_EXPIMP_TEMP table, 7.4.4
DM$P_MODEL_IMPORT_TEMP table, 7.4.4
DM$P_MODEL_TABKEY_TEMP table, 7.4.4
DM_NESTED_NUMERICALS, 8.3, 8.3
DMEIDMSYS, 3.2.3
dmshgrants.sql, 1.3, 2.3.4, 2.3.4
dmsh.sql, 1.3, 2.3.4, 2.3.4, 8.3.1.2, 8.4
DMSYS, Preface, 3.2, 3.2.2
downgrading, 3, 3.3, 3.3
DROP ANY MINING MODEL, 4.2

E

Easy Connect Naming, 2.3.2
Enterprise Edition, 1.1
EXPDP, 7.4
EXPLAIN, 6.1
EXPORT_MODEL, 7.4.2
exporting, 1.4, 3.2.3, 4.1.1, 7.4, 7.4.5

F

feature extraction, 1.4
FEATURE_ID, 8.1.2
FEATURE_SET, 8.1.2
FEATURE_VALUE, 8.1.2

G

Generalized Linear Models, 1.4, 8.1.1, 8.2.1
GET_MODEL_DETAILS, 7.1.2
GLM, 1.4
See Generalized Linear Models

I

IMPDP, 7.4
IMPORT_MODEL, 7.4.2
importing, 1.4, 3.2.3, 4.1.1, 7.4, 7.4.5.2
INIT.ORA, Preface
installation
Oracle Client, 2.3.1
Oracle Data Miner, 5.3
Oracle Database, 1.1
Oracle Database Examples, 1.2
Oracle Spreadsheet Add-In for Predictive Analytics, 6.3

J

Java API, 1.4, 7.4.3, 8.2
javax.datamining.task.ExportTask interface, 7.4.3
javax.datamining.task.ImportTask interface, 7.4.3
JDM 1.0 standard, 7.4.3, 8.2
JSR-73 specification, 7.4.3, 8.2

K

k-Means, 1.4, 1.4, 8.1.2

L

linear regression, 1.4, 1.4, 8.1.1
local database, 2.2, 5.2
logistic regression, 1.4, 1.4, 8.1.1

M

memory tuning parameters, Preface
Minimum Description Length, 1.4
mining models
about, 7
adding a comment, 7.2
applying, 4.3
auditing, 7.3
changing the name, 4.3
listing, 1.4.5, 7.1
settings, 5.1, 7.1.3
upgrading, 3.2
viewing, 4.3
model details, 7.1.2
model signature, 7.1.2

N

Naive Bayes, 1.4, 1.4, 1.4
nested tables, 8.3
Net Service Name, 2.3.2, 2.3.2, 6.2, 6.2.2
new features, Preface
NMF
See Non-Negative Matrix Factorization
Non-Negative Matrix Factorization, 1.4, 1.4, 8.1.2
normalization, 1.4

O

object privileges, 4.3
O-Cluster, 1.4, 1.4, 8.1.2
One-Class SVM, 1.4, 8.1.2
Oracle Client, 2.3.1, 5.2, 6.2.1
Oracle Data Miner, 5.1
Code Generator, 5.1
Discoverer Gateway, 5.1
Oracle Data Pump, 7.4
Oracle Database Upgrade Assistant, 3.2.2
Oracle Net Configuration Assistant, 2.3.1
Oracle Objects for OLE, 6.2
Oracle Spreadsheet Add-In for Predictive Analytics, 2.2, 2.3.2, 6
Oracle Text, 1.4, 8.3
Oracle Universal Installer, 1.1
ORACLE_BASE, 1.1
ORACLE_HOME, 1.1, 1.3, 1.3, 1.4.3
OraTextTransform interface, 8.3.2.1

P

parallel execution, Preface
Personal Edition, 1.1
PGA_AGGREGATE_TARGET, Preface
PL/SQL API, 1.4
PL/SQL sample programs, 8.1
PREDICT, 6.1
PREDICTION, 8.1.2, 8.1.2, 8.1.2, 8.1.2, 8.1.2
PREDICTION_COST, 8.1.2
PREDICTION_DETAILS, 8.1.2
PREDICTION_PROBABILITY, 8.1.2, 8.1.2, 8.1.2
PREDICTION_SET, 8.1.2, 8.1.2
predictive analytics, 1.4, 5.1, 6
privileges for data mining, 1.3, 2.1, 2.1, 4, 4.1, 4.1.1, 5.2, 6.2, 6.2.1, 7.4.1.1, 7.4.1.2
PROFILE, 6.1

R

real-time scoring, Preface
regression, 1.4
remote database, 2.3, 5.2

S

sample programs, 1.2, 2.3.4, 8, 8.1.2
data used by, 8.4
Java, 1.4, 1.4.3, 8.2
PL/SQL, 1.4, 1.4.2, 8.1
sample schemas, 1.1, 2.3.4
scoring, Preface, 8.1.2
security, 4
SELECT ANY MINING MODEL, 4.2
SELECT MINING MODEL, 4.3
settings, 7.1.3
SGA_TARGET, Preface
SH schema, 2.3.4, 8.4
shared cursor, Preface
Spreadsheet Add-In
See Oracle Spreadsheet Add-In for Predictive Analytics
SQL AUDIT, 7.3
SQL COMMENT, 7.2
SQL Data Mining functions, 8.1.2
SQL Developer, 2.2.2
SQL*Plus, 2.2.1
Support Vector Machine, 1.4, 1.4, 8.1.2
SVM
See Also One-Class SVM
See Support Vector Machine
SYS, Preface, 3.2, 3.2.2
system privileges, 4.2

T

text mining, 1.4, 1.4, 5.1, 8.1.2, 8.3, 8.4.3
transformations, 1.4
tuning, 5.1

U

upgrading, 3.2
user ID, 1.3, 2.1, 2.1, 2.3.4, 4.1, 5.2, 5.2, 6.2, 6.2, 7.4.1.2
USER_AUDIT_OBJECT, 7.3.4
USER_MINING_MODEL_ATTRIBUTES, 7.1
USER_MINING_MODEL_SETTINGS, 7.1
USER_MINING_MODELS, 1.4.5, 7.1
USER_OBJ_AUDIT_OPTS, 7.3.4
users, 7.4.1.2