Oracle 9i data mining algorithm

Does oracle 9i data mining provider decision tree and clusting algorithm?

yes, I know that DataMining is installed, but from what I know, it should be checked before the creation of the database.
for example I am performing the post installation steps:
Unlock the Data Mining Accounts
1. From a SQL*Plus session logged on as SYS, enter the following:
alter user odm account unlock;
alter user odm_mtr account unlock;
Start the Oracle Data Mining Task Monitor
1.From a SQL*Plus session, execute the following:
connect odm/[email protected]
exec odm_start_monitor
this gives me an error: odb_start_monitor not defined...
what should I do?

Similar Messages

Data mining Algorithms in Essbase

Hi,
Just wondering if anyone has used data mining algorithms provided within Essbase. Any thoughts or pointers towards more information will be helpful..
Thanks in Advance !!

In a 2009 persentation at Kscope from ODTUG titled little used features of Essbase, I went through how to use data moning. It is available on the odtug website. I do know that nothing has been done with the data mining modules in a long time as the team was disbanded since Oracle has other tools to do data mining.

10gR2, Installation of Oracle Text: Data Mining license required?

Hello all,
1. I wonder if I have to obtain a Data Mining license if I want to use Oracle Text. Using DBCA I have to check "Data Mining" to be able to check "Oracle Text".
2. Does Oracle Text work, when I previously removed data mining using "make -f ins_rdbms.mk dm_off; make -f ins_rdbms.mk ioracle"?
Regards, Heiko

Hello,
I hava an additional question: how can I find out, which licenses I need?
The installer forces me to install "Data Mining" to use "Oracle Text", but I can´t find any information why. Does Text use "Data Mining" functionality? Is it just a bug in the GUI? How can I verify, that I don´t have to get licenses for "Data Mining"?
Thank you
Klaus

Oracle 9i Data Mining

Could you please tell me what changes have to be made in the Sample_NaiveBayesBuild.property and Sample_NaiveBayesBuild.java files if i have to use my own data for doing data mining. Any help at the earliest will be highly appreciated.(The sample file uses census_2d_build_binned and the sample java and property files are Sample_NaiveBayesBuild.java and Sample_NaiveBayesBuild.property located in oracle\ora92\dm\demo\sample directory)
-Barry

yes, I know that DataMining is installed, but from what I know, it should be checked before the creation of the database.
for example I am performing the post installation steps:
Unlock the Data Mining Accounts
1. From a SQL*Plus session logged on as SYS, enter the following:
alter user odm account unlock;
alter user odm_mtr account unlock;
Start the Oracle Data Mining Task Monitor
1.From a SQL*Plus session, execute the following:
connect odm/[email protected]
exec odm_start_monitor
this gives me an error: odb_start_monitor not defined...
what should I do?

Oracle Data Mining

Hello,
Does anyone know if Oracle 9i Data Mining is compatible with the Oracle 8i Database? Do I have to upgrade the DB to 9i to use the DM software?

Oracle Data Mining is available only in 9i. So you must upgrade to from 8i to 9i to get the data mining functionality.
Note: Data Mining is an option to the 9i Enterprise Edition.
-Sunil

What software do I need to install to get "Data Mining Framework"

Hi,
from edelivery.oracle.com I have downloaded:
1. Hyperion Essbase - System 9 Release 9.3.1.2 Server Windows Installer
2. Essbase Administration Services Release 9.3.1 Windows Installer
I installed both software and I started Administration Services Console, log in etc. Essbase server is working fine.
In Administration Services Console I click on Essbase Servers | localhost | Data Mining | Algorithms and got error:
"message from server [Data Mining Framework is not available. Please contact Administrator].
It looks like I need to install some other software to have access to data mining features. Which software do I need to install?
Regards,
Grofaty

Windows 7 and iCloud Control Panel for Windows v1.1. Also, Apple (Canada) - iCloud - Learn how to set up iCloud on all your

SQL Server Tutorials for beginners: OLAP / Data Mining

I teach a DBMS + BI course to non-CS (business) students, using SQL Server. To illustrate OLAP I use the nice interactive online demo at "olaponline.radar-soft.com".
Is there a simple tutorial for SQL Server that is similar? Prepackaged, Illustrating OLAP, BI, or Data Mining algorithms? Everything I've seen so far is too complicated and requires many preparation steps before interacting with the model/cube.
Alternatively can you recommend other online tools / demos? Thanks,
-- Shaul

Hello,
The best way to learn about data mining is the list of 22 lessons created y Daniel Calbimonte:
http://www.sqlservercentral.com/Authors/Articles/Daniel_Calbimonte/1486684/
About Business Intelligence, please take the following free training:
http://www.microsoftvirtualacademy.com/training-topics/business_intelligence_topic_page_en
Hope this helps.
Regards,
Alberto Morillo
SQLCoffee.com

Choosing the correct Excel Data Mining Addin

My company has SQL Server 2008 (not R2) and Office 2010. I checked the Excel Data Mining Add-in downloads on both the Microsoft site and SQLServerDataMining.com looking for this combination but cannot find it. The DM Addin for Office 2010 are
all SQL Server 2012 and the SQL Server 2008 version has Office 2007. I installed the SQL Server 2008/Office 2007 add-in but it keeps getting disabled. I get an error message stating that there are compatibility issues. Does anyone have an
idea on what the best add-in is to install? There are many users in the organization and the version of SQL Server is way above my pay grade.
Thanks,

Hi ChuWil2,
The Data Mining Add-ins for SQL Server 2008 is a free download that can be used with either Excel 2007 or Excel 2010. When you use the data mining add-ins, you can connect to an existing instance of
SQL Server 2008 Analysis Services and use the data mining algorithms and services provided by that server to perform data mining on the data in your Excel workbook and other supported data sources.
To use both add-ins on the same computer, you must install the same version of both add-ins. Each version requires the corresponding version of Excel. When installing SQL Server 2008 Data Mining Add-Ins and it
can be used together with 32-bit version of Microsoft Office 2010 . In addition, if you are running a version of Windows other than Windows 7, you will need to download and install .NET Framework 3.5 SP1. For more information, see:
http://social.technet.microsoft.com/wiki/contents/articles/1090.how-to-use-the-sql-server-data-mining-add-ins-with-powerpivot-for-excel.aspx
There is detail about how to troubleshoot installations of add-ins, you can review it.
http://social.technet.microsoft.com/wiki/contents/articles/13737.troubleshooting-installations-of-powerpivot-and-other-add-ins.aspx
Regards,
Sofiya Li
Sofiya Li
TechNet Community Support

Oracle Data Mining Workshop

Oracle is providing a free 1 day on-site technical workshop designed to help customers and prospects move forward with the data mining technologies. The workshop consists of the following:
1. Understanding of data mining and how it compares to other analytical techniques, the data mining process and data mining in the 9i database.
2. Taking a business problem and showing how to turn it into a data mining problem.
3. Based on the data mining problem, what are the best methodologies, techniques and algorithms to use. The pros and cons of using each.
4. What types of data are need for the problem and how the data should be transformed and stored in the database.
5. How to optimize and tune the 9i database for development and production data mining.
This workshop is given by Richard Solari who is Oracle's Technical Director of Data Mining Services. For a complete agenda and to schedule your workshop, please contact Richard at [email protected]

Its primary purpose is to help in the development of data mining applications. You can as you explain utilize it as well as an analytical tool. We expect that any mining application will require analysts and developers to work together in building mining applications.

Oracle data mining module is implemented in database?

Hello.
I want to know where the ODM module is implemented.
Is it implemented inside the database?
Or, is it implemented as an extension module of the database?
In this case, ODM module can be plugged into the database and it can use its functionalities...

Oracle Data Mining is an integrated component of the database engine itself. It is better not to think of it as a data mining module, but rather think of Oracle Data Mining as the Oracle database's built-in machine learning capabilities.
If you take a look at the PREDICTION function, you will see that this is a built-in SQL function. This is not an extension, not a UDF, not a pl/sql function, etc. It can execute at the storage tier of Exadata as part of smart scan. It is similar in the way it works to a function like the built-in substr, but applies a mathematical model instead. It leverages underling database functionality that is used by many parts of the database, such as memory management, shared cursors, etc. The data flows to this function just as it does to the others built-in SQL functions.
Some of the model training routines will craft SQL, just as is done by other database components. For example, statistics collection from dbms_stats also crafts SQL to assist in its work. However, the implementation of the mining algorithm is still C code that is part of the database codebase leveraging other underlying, specialized database functionality.
You could not separate Oracle Data Mining and attach it to something else - it is built as part of the Oracle database.
Ari

Oracle Data Mining VS Weka

Everyone,
Does anyone have already used Weka with Oracle Database? I must do a
comparison between ODM and Weka.
What are the advantages and the drawbacks of ODM and Weka ?
Thank you for your answer.
PY

I agree with Mark Kelly, ODMr has inherent advantages of in-database mining in Oracle Database.
I haven't used Weka much, I tried once. It basically gets the data from the database using JDBC driver and does the mining in the desktop environment.
Another advantage of Oracle Data Miner (ODMr) is it is designed to give good prediction results very quickly even for data mining beginners who doesn't know much about the required transformations, algorithm settings etc. Especially with the Guided Analytic using "Activity" template based approach that derives intelligent defaults for the transformations, algorithm settings etc. ODMr does provide required flexibility for the advanced users who wants to control the transformations, algorithm settings etc.
-Sunil

Oracle Data Mining - How to use PREDICTION function with a regression model

I've been searching this site for Data Mining Q&A specifically related to prediction function and I wasn't able to find something useful on this topic. So I hope that posting it as a new thread will get useful answers for a beginner in oracle data mining.
So here is my issue with prediction function:
Given a table with 17 weeks of sales for a given product, I would like to do a forecast to predict the sales for the week 18th.
For that let's start preparing the necessary objects and data:
CREATE TABLE T_SALES
PURCHASE_WEEK DATE,
WEEK NUMBER,
SALES NUMBER
SET DEFINE OFF;
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('11/27/2010 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 1, 55488);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('12/04/2010 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 2, 78336);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('12/11/2010 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 3, 77248);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('12/18/2010 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 4, 106624);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('12/25/2010 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 5, 104448);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('01/01/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 6, 90304);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('01/08/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 7, 44608);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('01/15/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 8, 95744);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('01/22/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 9, 129472);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('01/29/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 10, 110976);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('02/05/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 11, 139264);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('02/12/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 12, 87040);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('02/19/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 13, 47872);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('02/26/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 14, 120768);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('03/05/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 15, 98463.65);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('03/12/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 16, 67455.84);
Insert into T_SALES
(PURCHASE_WEEK, WEEK, SALES)
Values
(TO_DATE('3/19/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 17, 100095.66);
COMMIT;
There are a lot of linear regression models and approaches for sales forecast out on the market, however I will focus on what oracle 11g offers i.e. package SYS.DBMS_DATA_MINING to create a model using regression as mining function and then, once the model is created, to apply prediction function on the model.
Therefore I'll have to go through few steps:
i) normalization of data
CREATE OR REPLACE VIEW t_sales_norm AS
SELECT week,
sales,
(sales - 91423.95)/27238.3693126778 sales_norm
FROM t_sales;
whereas the numerical values are the mean and the standard deviation:
select avg(sales) from t_sales;
91423.95
select stddev(sales) from t_sales;
27238.3693126778
ii) auto-correlation. For the sake of simplicity, I will safely assume that there is no auto-correlation (no repetitive pattern in sales among the weeks). Therefore to define the lag data I will consider the whole set:
CREATE OR REPLACE VIEW t_sales_lag AS
SELECT a.*
FROM (SELECT week,
sales,
LAG(sales_norm, 1) OVER (ORDER BY week) L1,
LAG(sales_norm, 2) OVER (ORDER BY week) L2,
LAG(sales_norm, 3) OVER (ORDER BY week) L3,
LAG(sales_norm, 4) OVER (ORDER BY week) L4,
LAG(sales_norm, 5) OVER (ORDER BY week) L5,
LAG(sales_norm, 6) OVER (ORDER BY week) L6,
LAG(sales_norm, 7) OVER (ORDER BY week) L7,
LAG(sales_norm, 8) OVER (ORDER BY week) L8,
LAG(sales_norm, 9) OVER (ORDER BY week) L9,
LAG(sales_norm, 10) OVER (ORDER BY week) L10,
LAG(sales_norm, 11) OVER (ORDER BY week) L11,
LAG(sales_norm, 12) OVER (ORDER BY week) L12,
LAG(sales_norm, 13) OVER (ORDER BY week) L13,
LAG(sales_norm, 14) OVER (ORDER BY week) L14,
LAG(sales_norm, 15) OVER (ORDER BY week) L15,
LAG(sales_norm, 16) OVER (ORDER BY week) L16,
LAG(sales_norm, 17) OVER (ORDER BY week) L17
FROM t_sales_norm) a;
iii) choosing the training data. Again, I will choose the whole set of 17 weeks, as for this discussion in not relevant how big should be the set of training data.
CREATE OR REPLACE VIEW t_sales_train AS
SELECT week, sales,
L1, L2, L3, L4, L5, L6, L7, L8, L9, L10,
L11, L12, L13, L14, L15, L16, L17
FROM t_sales_lag a
WHERE week >= 1 AND week <= 17;
iv) build the model
-- exec SYS.DBMS_DATA_MINING.DROP_MODEL('t_SVM');
BEGIN
sys.DBMS_DATA_MINING.CREATE_MODEL( model_name => 't_SVM',
mining_function => dbms_data_mining.regression,
data_table_name => 't_sales_train',
case_id_column_name => 'week',
target_column_name => 'sales');
END;
v) finally, where I am confused is applying the prediction function against this model and making sense of the results.
On a search on Google I found 2 ways of applying this function to my case.
One way is the following:
SELECT week, sales,
PREDICTION(t_SVM USING
LAG(sales,1) OVER (ORDER BY week) as l1,
LAG(sales,2) OVER (ORDER BY week) as l2,
LAG(sales,3) OVER (ORDER BY week) as l3,
LAG(sales,4) OVER (ORDER BY week) as l4,
LAG(sales,5) OVER (ORDER BY week) as l5,
LAG(sales,6) OVER (ORDER BY week) as l6,
LAG(sales,7) OVER (ORDER BY week) as l7,
LAG(sales,8) OVER (ORDER BY week) as l8,
LAG(sales,9) OVER (ORDER BY week) as l9,
LAG(sales,10) OVER (ORDER BY week) as l10,
LAG(sales,11) OVER (ORDER BY week) as l11,
LAG(sales,12) OVER (ORDER BY week) as l12,
LAG(sales,13) OVER (ORDER BY week) as l13,
LAG(sales,14) OVER (ORDER BY week) as l14,
LAG(sales,15) OVER (ORDER BY week) as l15,
LAG(sales,16) OVER (ORDER BY week) as l16,
LAG(sales,17) OVER (ORDER BY week) as l17
) pred
FROM t_sales a;
WEEK, SALES, PREDICTION
1, 55488, 68861.084076412
2, 78336, 104816.995823913
3, 77248, 104816.995823913
4, 106624, 104816.995823913
As you can see for the first row there is a value of 68861.084 and for the rest of 16 values is always one and the same 104816.995.
Question: where is my week 18 prediction ? or maybe I should say which one is it ?
Another way of using prediction even more confusing is against the lag table:
SELECT week, sales,
PREDICTION(t_svm USING a.*) pred
FROM t_sales_lag a;
WEEK, SALES, PREDICTION
1, 55488, 68861.084076412
2, 78336, 75512.3642096908
3, 77248, 85711.5003385927
4, 106624, 98160.5009687461
Each row out of 17, its own 'prediction' result.
Same question: which one is my week 18th prediction ?
Thank you very much for all help that you can provide on this matter.
It is as always highly appreciated.
Serge F.

Kindly let me know how to give input to predict the values for example script to create model is as follows
drop table data_4svm
drop table svm_settings
begin
dbms_data_mining.drop_model('MODEL_SVMR1');
CREATE TABLE data_4svm (
id NUMBER,
a NUMBER,
b NUMBER
INSERT INTO data_4svm VALUES (1,0,0);
INSERT INTO data_4svm VALUES (2,1,1);
INSERT INTO data_4svm VALUES (3,2,4);
INSERT INTO data_4svm VALUES (4,3,9);
commit;
--setting table
CREATE TABLE svm_settings
setting_name VARCHAR2(30),
setting_value VARCHAR2(30)
--settings
BEGIN
INSERT INTO svm_settings (setting_name, setting_value) VALUES
(dbms_data_mining.algo_name, dbms_data_mining.algo_support_vector_machines);
INSERT INTO svm_settings (setting_name, setting_value) VALUES
(dbms_data_mining.svms_kernel_function, dbms_data_mining.svms_linear);
INSERT INTO svm_settings (setting_name, setting_value) VALUES
(dbms_data_mining.svms_active_learning, dbms_data_mining.svms_al_enable);
COMMIT;
END;
--create model
BEGIN
DBMS_DATA_MINING.CREATE_MODEL(
model_name => 'Model_SVMR1',
mining_function => dbms_data_mining.regression,
data_table_name => 'data_4svm',
case_id_column_name => 'ID',
target_column_name => 'B',
settings_table_name => 'svm_settings');
END;
--to show the out put
select class, attribute_name, attribute_value, coefficient
from table(dbms_data_mining.get_model_details_svm('MODEL_SVMR1')) a, table(a.attribute_set) b
order by abs(coefficient) desc
-- to get predicted values (Q1)
SELECT PREDICTION(MODEL_SVMR1 USING *
) pred
FROM data_4svm a;
Here i am not sure how to predict B values . Please suggest the proper usage . Moreover In GUI (.NET windows form ) how user can give input and system can respond using the Q1

How to get the Oracle Data Mining

Hi
I downloaded Oracle Database 10g r2 on Oracle's download website, and I want the ODM, but it is said in the white paper that ODM is a priced option. I'd like to know how to get it.

Data Mining is a priced option shipped with Oracle Enterprise Edition. You can get Data Mining option by installing Oracle 10gR2 and select 'general purpose' with the pre-configured database. Data Mining option is installed as default in that choice.
If for production purposes, customers do need to purchase Data Mining option lisence through Oracle sales.
Xiafang

Oracle for a Data Warehouse & Data Mining Project

Hello,
I am working for a marketing company and we have a pretty big OLTP database and my supervisor wants to make use of these data for decision making. The plan is to create a
data mart(if not a warehouse) and use data mining tools on top of it.
He does not want to buy one of those expensive tools so I was wondering if we could handle such a project just by downloading OWB and Darwin from Oracle site? None of us are data warehouse specialists so it will be very though for us. But I would like to learn. Actually, I was looking for some example warehouse + mining environment implementations to get the main ideas. I will appreciate any suggestions and comments.
Thank you

Go to
http://www.oracle.com/ip/analyze/warehouse/datamining/
for white papers, demos, etc. as a beginning.
Also, Oracle University offers a course on Oracle data Mining.

Startup guide for oracle data mining for anomaly detection

hi
well i have setup oralce 10g for data mining. ihae also downlaoded and nstalled demo prog.
now im wondering how to start to develop my own model.... basically my idea is to use anomaly detection tecnuique for network traffic.
i want ot scann network packets and mine them for anomaly. do i have to create profiles for that and if yes how?????
A BIG DILEMMA... ANY ONE CAN PLS GUIDE, ILL APPRECIATE
CHEERS
ninja

Ninja,
You may also want to take a look at this thread in the forum:
Re: Some Questions regarding Apriori algorithm and anomaly detection
It has some discussion that might help.
-Marcos

Oracle 9i data mining algorithm

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