Suggest me a data mining engine plz

Hello everyone, I am a beginer of data mining. I am trying to build a java program using the JDM API and MySQL database. Could you tell me what is a data mining engine(DME)? I have tried to google what DME I can use but there is no one. I am so confused now.

Hi,
The Oracle Data Mining Option, now part of the Oracle Advanced Analytics Option, does not run on MySQL.
If your want to explore the use of Oracle Data Mining, I would suggest you use the PL/SQL api as the Java api, based on JDM, has been deprecated.
You will want to review the documentation and then go to the sample code to give it a try:
http://www.oracle.com/pls/db112/portal.portal_db?selected=6&frame=#data_mining
http://www.oracle.com/technetwork/database/options/advanced-analytics/odm/odm-samples-194497.html
Good luck, Mark

Similar Messages

4 Data Mining engineering positions at Yahoo! Inc (Sunnyvale/Burbank, CA)

There are four positions open in our group at Yahoo, with Data Mining being the key requirement (not necessarily Oracle DM).
We are prepared to move very quickly on them - meaning we guarantee that you will be called the next business day after sending your resume if it shows relevant skills and experience.
Here are the summaries of each, please email me if you'd lke the full descriptions before sending in your resumes:
1. Senior Data Mining Applications Engineer. Based in Sunnyvale, CA. Full-time employee. C++ - expert level, data mining - expert level.
2. Senior Data Mining Applications Engineer. Based in Burbank, CA. Full-time employee. Perl - expert level, data mining - knowledgeable level.
3. Software Architect. Based in Sunnyvale or Burbank, CA. Full-time employee. Data mining - knowledgeable level, software architecture - expert level.
4. Senior Data Mining Applications Engineer. Based in Sunnyvale, CA. Contractor. C++ - expert level, data mining - expert level.
Relocation is offered to qualified candidates.
Please send your resume to [email protected]

maybe OP want to extract all numbers from his inbox using regular expressions?

Unable to connect to data mining server via data miner

Hello!
After installing Critical Patch October 2005 we receive the following error message while trying to connect to the data mining server: "Unable to connect to data mining server".
Before installing the patch we had no problems connecting via data miner (Windows 2000 Client).
We are running Oracle DB 10.1.0.3 on SUSE 9 Linux.
Any help would be appreciated.
Regards
Alexander

Hello Xiafang!
Thanks for your reply.
The query results are:
SQL> conn sys@oraentw as sysdba
Enter password:
Connected.
SQL> select comp_id, version, status from dba_registry;
COMP_ID VERSION STATUS
WK 10.1.0.3.0 VALID
EM 10.1.0.3.0 VALID
XDB 10.1.0.3.0 VALID
AMD 10.1.0.3.0 VALID
CONTEXT 10.1.0.3.0 VALID
SDO 10.1.0.3.0 VALID
ORDIM 10.1.0.3.0 VALID
EXF 10.1.0.3.0 VALID
OWM 10.1.0.2.0 VALID
ODM 10.1.0.3.0 VALID
CATALOG 10.1.0.3.0 VALID
COMP_ID VERSION STATUS
CATPROC 10.1.0.3.0 VALID
JAVAVM 10.1.0.3.0 VALID
XML 10.1.0.3.0 VALID
CATJAVA 10.1.0.3.0 VALID
APS 10.1.0.3.0 VALID
XOQ 10.1.0.3.0 VALID
17 rows selected.
SQL> select parameter, value from v$option where parameter like '%Data Minin%';
PARAMETER
VALUE
Data Mining
TRUE
Data Mining Scoring Engine
FALSE
What do you suggest to do next?
Thanks in advance
Alexander

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

Beginner installing SQL Server 2014 for Excel Data Mining

Hello, I'm a complete beginner with servers but Im desperately trying to gain access to the SQL server for use with the data mining addin for excel.
Could someone please help. When I try to make a connection in Excel by choosing DATA MINING> <No Connection> New> it then asks me for a Server Name in the connect to Analysis Services box. How can I find out what my Sever name is please? I have
tried all sorts of names that I have found such as SQLEXPRESS or localhost but nothing works. It also tells me to 'Ensure that the Server is running'. Another error message I receive: No connection can be
made because 'the target machine actively refused it'.
I would be really grateful for some troubleshooting tips.
Thank you

Hi Alberto,
Thanks very much for getting back to me.
Here are the results of the Analysis Services report:
Microsoft SQL Server 2014 Setup Discovery Report
Product
Instance
Instance ID
Feature
Language
Edition
Version
Clustered
Configured
Microsoft SQL Server 2014
SQLEXPRESS
MSSQL12.SQLEXPRESS
Database Engine Services
1033
Express Edition
12.0.2000.8
No
Yes
Microsoft SQL Server 2014
SQLEXPRESS
MSSQL12.SQLEXPRESS
SQL Server Replication
1033
Express Edition
12.0.2000.8
No
Yes
I then ran the System Configuration Checker and these are the results:
Passed: 9. Failed: 1.
Edition WOW 64 Platform Failed
(I can't paste the images as my account has not been verified)
Should I assume that I have installed the wrong version? I am running 64 Bit Windows 8.
I just need the most basic version for personal data analysis in Excel with the Data Mining Add-in.
Thanks again

Collation error when data mining

I'm trying to process a data mining model but keep getting this error: "Errors in the OLAP storage
engine: The sort order specified for distinct count records is incorrect. Errors in the OLAP storage engine: An error occurred while processing the..."
I changed my sql server collation to to Latin1_General_CS_AI with a compatibility level of 100, and in SSAS, I set it to Latin1_General_100 and "Case Sensitive" checked...but I still get the same error...am I not setting the collation correctly?

I changed my sql server collation to to Latin1_General_CS_AI ...
The SQL Server setting is just a default value for new databases, when you don't explicit define the collation in the CREATE DATABASE command; same for the database setting, also just a default value. The effective collation is defined on column level.
Olaf Helper
[ Blog] [ Xing] [ MVP]

Processing a data mining structure throws an error

Processing a data mining structure throws an exception stating the following:
"Errors in the OLAP storage engine: An error occurred while the 'IDK' attribute of the 'Test IDK' dimension from the 'Project1' database was being processed."
"Errors in the OLAP storage engine: The attribute key was converted to an unknown member because the attribute key was not found. Attribute IDK of Dimension: Test IDK from Database: project1, Record:17072643"
I am using a DB view as a DSV. It does not have a unique primary key. Since DB view is getting multiple results per IDK, the IDK repeats for multiple rows. The same IDK is defined as Key column for the mining model. Not sure if that is the
issue. Please help!
Thanks
Shallu

Hi Shallu,
According to your description, you use a database view in the data source view that do not have a primary key, so you get the error
Errors in the OLAP storage engine: The attribute key was converted to an unknown member because the attribute key was not found. Attribute IDK of Dimension: Test IDK from Database: project1, Record:1707264
when processing the project, right?
In this case, please refer to the links below which describe the similar issue.
http://agilebi.com/ddarden/2009/01/06/analysis-services-error-the-attribute-key-cannot-be-found-when-processing-a-dimension/
http://social.technet.microsoft.com/Forums/systemcenter/en-US/432deebe-52b8-4245-af85-5aa2eecd421a/scsm2012-cube-processing-failing-on-two-cubes-configitemdimkey-not-found?forum=dwreportingdashboards
Regards,
Charlie Liao
TechNet Community Support

How can I convert from Modbus raw data to engineering units using a formula?

Within Lookout, I have several Modbus numerical input types that do not have a linear corespondence to the Engineering values they represent. How can I display these values accurately using a formula to convert from the raw data to an engineering value?

I don't quite understand your reply. I'm using Lookout 6.0.2, logged in as Administrator, in Edit Mode. The Modbus object is named RTU06_SAV. The Active member is 30002 with an alias of SAVfmSMT_RSL.
Following your instructions, I opened Object Explorer and right-clicked on RTU06_SAV.
This opened a menu containing: Refresh, Cut, Copy, Rename, Delete, Edit connections..., Edit Data Member Configuration, Configure Network Security and Properties.
I assumed that I should select Edit Data Member Configuration, but maybe I'm wrong.
Within Data Member Configuration I can set up Linear Scaling between Raw data and Engineering data. I know how to do that, but what I need to know is how to convert Raw data to Engineering data using a formula representing a non-linear transformation (such as a converion to a logarithmic value or perhaps a formula derived by fitting the formula to a curve on a calibration chart).
Once I have this my Engineering data can be represented on a control panel as both a numeric value AND as a correctly reading Gauge. It can also be properly represented on a HyperTrend graph.
What do you suggest?

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.

How to use Data Mining for a blind DBA?

Hi, I'm a blind DBA and I need some input and some suggestions from the forum on how to access the Data Mining feature.
This feature is becoming more and more an essential part of my daily tasks, so I need a way to use it.
Database: Oracle 11.1.0.7.0
OS: Windows XP Pro and Linux
Adaptive Technology:
JAWS Version 11.0.1467 by Freedom Scientific BLV Group, LLC
JAVA Access Bridge by SUN Microsystems
I know there is a Windows program called Data Miner, unfortunately my JAWS speech synthesizer does not work with the interface and I need an alternative. I
read Oracle's documentation on the Data Miner API., but it is short on examples, details , and step by step instructions. Does anyone have a more
comprehensive set of examples on how to use the Data Mining API. from start to finish, specifically for market basket analysis? Any help would be
appreciated.
Thanks.

Hi,
I am not very knowledgeable about Oracle Data Miner, the graphical user interface to Oracle Data Mining, but I can respond to your question about API documentation.
You may find the source files for the Data Mining sample programs to be very helpful. They provide many examples. After installing Oracle Database, install Oracle Database Examples. This separate installation process installs the sample programs in the DEMO directory under Oracle Home. Instructions for installing and configuring the sample programs are provided in Oracle Data Mining Administrator's Guide. Here is the link to the relevant chapter in the 11.1 Administrator's Guide.
http://download.oracle.com/docs/cd/B28359_01/datamine.111/b28130/sampleprogs.htm#BABEHFEB
As for the API documentation, the best place to start is probably the Data Mining Application Developer's Guide. Here is the link to the 11.1 Application Developer's Guide.
http://download.oracle.com/docs/cd/B28359_01/datamine.111/b28131/toc.htm
The Data Mining PL/SQL API for creating data mining models is implemented in the DBMS_DATA_MINING package. The syntax of Oracle PL/SQL packages is documented in PL/SQL Packages and Types Reference. Here is the link to the chapter in the 11.1 version of that manual.
http://download.oracle.com/docs/cd/B28359_01/appdev.111/b28419/d_datmin.htm#i1062150
The Data Mining functions for scoring (applying mining models to new data) are implemented as SQL functions. The syntax of Oracle SQL is documented in SQL Language Reference. Here is the link to the Data Mining SQL functions in the 11.1 version of that manual.
http://download.oracle.com/docs/cd/B28359_01/server.111/b28286/functions001.htm#sthref953
Hope this helps,
Kathy
Edited by: ktaylor on Nov 10, 2010 8:14 AM

Publishing Data Mining results to OBIEE 10.1.3.4

Hi all,
Am working on OBIEE 10.1.3.4.
I've used Oracle DataMiner 10.2 and i need to publish and integrate Data Mining results to OBIEE.
Any suggestions?
Thanks very much.

Are you able to reach presentation services and login if you go to http://192.17.61.85:9704/saw.dll ?
If so this may be a JEE application container issue or some type of rewriting of the URL going on.
Do you have a list of all the items that the patch modified?

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

How to learn data mining?

Hi
I am an Oracle developer with DBA experience
How can I learn data mining and launch a career as a data miner?

Hi,
You can certainly start by using ODMr and walking through the tutorial.
To be expert in the field, I would suggest going to any of the book sites and searching for books on datmining. You will find alot of material useful in learning about the art of datamining.
Typically it is not just knowledge of datamining techniques that is important, but understanding the domain. If you have experience with domains such as retail or financial, then you should consider studying datamining implementations that target those domains. The more direct benefit you can bring your users the better.
Good luck, Mark

Help!!!!data mining

hello!
I am a freshman,I have downloaded the database9.2.0.1,dm4j and Jdeveloper9.2.0.4 and installed.
But I can't upgrade the database 9.2.0.1 to the 9.2.0.4 one,because I don't have the Id of the metalink.If I don't upgrade it ,how can I use it? Who the password of the ODM and ODM_MTR accout? I hurry to know these problems .Detail it please ,Thanks to everyone!!

Dear Dear,
(1) Answer to your first question.
I will suggest you to use Jdeveloper 9.2.0.1 to work with Oracle database 9.2.0.1 with data mining.
However, Jdeveloper 9.2.0.4 should be able to support the previous version of Oracle database. Please get a try.
(2) Answer to your second question.
After you have installed database 9.2.0.1 with data mining. The default passwords of ODM and ODM_MTR accounts are the following (please refer to Oracle Data Mining README file):
Account Password
ODM ODM
ODM_MTR MTRPW
Thanks
KK
> hello!
> I am a freshman,I have downloaded the
> database9.2.0.1,dm4j and Jdeveloper9.2.0.4 and
> installed.
> But I can't upgrade the database 9.2.0.1 to the
> 9.2.0.4 one,because I don't have the Id of the
> metalink.If I don't upgrade it ,how can I use it? Who
> the password of the ODM and ODM_MTR accout? I hurry
> to know these problems .Detail it please ,Thanks to
> everyone!!

OLAP & Data Mining

Soon we are going into OLAP and Data Mining. For data mining Oracle provides Darwin tool. What are the tool it provides for OLAP. Since OLAP is a first stage for Data Mining. Please also suggest where I get these tools and books or demo.
Thanks & Regards
Shailesh

Hello. OLAP is not necessary for data mining, but it is complementary to it. For OLAP products, I suggest you check out these sites on OTN:
http://otn.oracle.com/products/exp_server/ and http://otn.oracle.com/products/express/
More information on Express products is also on www.oracle.com, at
http://www.oracle.com/ip/analyze/warehouse/bus_intell/
null

Suggest me a data mining engine plz

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