Data Mining/learning

Began data mining but would like to disable. chopt disable dm returns "couldn't open ...dm.log: permission denied. Really haven't used the tool. Could it be there is just not a log? Logged on OS with administrative privileges. Home computer use

Using oracle 11g began data mining for some odd reason. I am working diligently to perfect my sql expertise in order to pass 1Z0-051. Recently purchased Oracle By Example 4th edition which walks through tutorials using student table. Unable to connect to the setup database student because data mining prompts for authentication. The password I have written down is not working for some odd reason... Attempted to alter sys password from sql plus, shutdown and restarted. Still getting invalid password. Sooo would just rather disable this data mining thing but when I issue chopt disable dm from dbhome_1/bin I get the following message unable to find c:\...SEE ABOVE. I have now wasted 2 hours of study time trying to figure this out. please help. thank you.

Similar Messages

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

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

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.

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

Essbase Data Mining from Essbase Administration Service Console

Hi there ,
Have anyone had tried essbase data mining feature that can be use from EAS ? I tried to learn from dbag but seems we need more comprehensive step-by-step guidance on how to implement such feature..
Thanks

Can you try providing the port number together with the server name?
If you are using the embedded http server then it is FAIRY:9000.
The port number can vary (depending upon the selection you made)
Also check Hy9eas.log under diagnostics/services folder and see any error message is there in that.
Regards
Celvin
http://www.orahyplabs.com
Please mark the answers as helpful/correct if applicable

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

Data Mining on data specified and filtered by the user in runtime

Hi Experts,
i am new to Data Mining in SAP BI (we are on BI 7.0 SP Level 20). I familiarised myself with APD and Data Mining by reading some interesting and useful threads in this forum and some other resources. Therefore I got a understanding about the topic and was able to create basic data mining model for an association analysis and an corresponding APD for it and write the results into a DSO by using the data source. But for now I was not able to find a solution for a concrete customer requirement.
The user shall be able to select an article, a retail location and a month and get the top n combinations sold with that article in the particular location and month. For that he may not access the data mining workbench or any other SAP internal tools but he shall be able to start the analysis out of the portal (preferable a query).
We had some thoughts on the scenario. The first idea would be to create an APD for every location for the last month. As we need to cover more than 100 locations, this would not be practicable. Therefore I think it would be necessary, that the user can select the particular filters, and the data mining would then be executed with the given input.
The other idea was to use a query as source. The user would start this query and filter location and month in it. The result of the query could then be used as the source for the APD with the association analysis. Therefore we would need to create a jump point from that query, which starts the APD with that results. After that the user should be able to start a result query, which displays the result of the association analysis (ideally this result query would start automatically, but starting it manually would be ok, too).
So, I have the following questions for these scenarios:
1.) Is it possible to create variants of a single APD, for automatically doing the data mining for the different locations?
2.) is it possible to start an APD out of a query, with the particular results regarding filtering?
3.) Can we place a query directly on the data mining results (how?) or do we need to write the data mining results in a DSO first?
4.) What about the performance? Would it be practicable to do the data mining in runtime with the user waiting?
5.) Is the idea realistic at all? Do you have any other idea how to accomplish the requirement (e.g. without APD but with a query, specific filter and conditions)?
Edited by: Markus Maier on Jul 27, 2009 1:57 PM

Hi ,
you can see the example : go to se 80 then select BSP Application ,SBSPEXT_HTMLB   then select tableview.bsp , you will get some idea to be more clear for the code which you have written
DATA: tv TYPE REF TO CL_HTMLB_TABLEVIEW.
tv ?= cl_htmlb_manager=>get_data(
                         request = runtime->server->request
                          name    = 'tableView'
                              id      = ''tbl_o_table" ).
IF tv IS NOT INITIAL.
DATA: tv_data TYPE REF TO CL_HTMLB_EVENT_TABLEVIEW.
tv_data = tv->data.
IF tv_data->prevSelectedRowIndex IS NOT INITIAL.
FIELD-SYMBOLS: <row> LIKE LINE OF sflight.
    READ TABLE ur tablename INDEX tv_data->prevSelectedRowIndex ASSIGNING <row>.
    DATA value TYPE STRING.
    value = tv_data->GET_CELL_ID( row_index    =
                               tv_data->prevSelectedRowIndex
                                  column_index = '1' ).
endif.
endif,

BW Data Mining

Hello!
I need information about the following BW Data Mining topics. Hope, someone can help me?
-What 3rd Party Tools are available für Data Mining? (I just know "IBM Intelligent Miner")
-Does someone have experiences with performance of the DM-algorithms? System requirements? Mass data?
-Are there possibilities to improve the performance?
-What is known about new features in Netweaver BI 7.0 for DM?
-Does someone have special experiences in DM in the automotive industy? Are there typical business processes known, which are useful for BW Data Mining?
Thank you for help!
Regards,
Peter

Hallo!
I need different information about BW data mining.
One thing is, what are typical business scenarios for the different algorithms. So it is easy to find such for decision trees, association analysis and maybe for ABC analysis. But i have little problems to find real scenarios vor weighted score tables and regression analysis. It would be helpful to hear about some.
I have to write a paper for my company about data mining with bw. While we have no experiences in this area I´m looking here for people having.
Also Performance. The problem is not to try out with APD and Data Mining models. But to find experiences with this.
Good or bad performance with this or this algo? Or how can I optimize performance for mass data?
After this I have to design typical business scenarios. Especially for automotive area if possible.
So what the question for me is, what is possible with the algorithms? Where are problems with them?
It would be great if you could provide me with more information about your experiences in this area.
Thanks,
Peter

Data Mining overflow error while loading the mining viewer

I developed a time series model that processes succesfully. The problem I have is that when I try to view the mining model viewer that displays the times series on a chart, I get the error below:
An error occurred while a prediction query was being executed:
'Error (Data mining): An overflow was encountered while converting a predicted value to the '' column, at line 1, column 33. A higher precision data type for the column is recommended.'.
ADDITIONAL INFORMATION:
Error (Data mining): An overflow was encountered while converting a predicted value to the '' column, at line 1, column 33. A higher precision data type for the column is recommended. (Microsoft OLE DB Provider for Analysis Services 2008 R2.)
It looks like the probability value (which is a float data type, for example 0.4452938765) is being stored in a particular column, and the data type of that column cannot contain the range of decimal places that the probability has.
I don't know which column to look for to change its data type like the error messages says. Would anyone have any idea?

Hello,
Thanks for your posting.
It is more related to Data Mining issue in this case. I move the thread to
Data Mining forum for better support. Thanks for your understanding.
Regards,
Elvis Long
TechNet Community Support

Data mining is Loading after upgrade from 10.1.0.4 to 10.2.0.4

SQL> select comp_name, version, status from dba_registry;
COMP_NAME
VERSION STATUS
Oracle Ultra Search
10.1.0.4.0 NO SCRIPT
Oracle XML Database
10.2.0.4.0 VALID
Oracle Enterprise Manager
10.2.0.4.0 VALID
COMP_NAME
VERSION STATUS
Oracle Text
10.2.0.4.0 VALID
Oracle interMedia
10.2.0.4.0 VALID
Oracle Expression Filter
10.2.0.4.0 VALID
COMP_NAME
VERSION STATUS
Oracle Workspace Manager
10.2.0.4.3 VALID
Oracle Data Mining
LOADING
Oracle Database Catalog Views
10.2.0.4.0 VALID
COMP_NAME
VERSION STATUS
Oracle Database Packages and Types
10.2.0.4.0 VALID
JServer JAVA Virtual Machine
10.2.0.4.0 VALID
Oracle XDK
10.2.0.4.0 VALID
** How to fix ti..
*** I can find below error in dbua log
===
dbua
Oracle_Server.log 470085 select dbms_java.full_ncomp_enabled from dual;
470086 select dbms_java.full_ncomp_enabled from dual
470087 *
470088 ERROR at line 1:
470089 ORA-29558: JAccelerator (NCOMP) not installed. Refer to Install Guide for
470090 instructions.
470091 ORA-06512: at "SYS.DBMS_JAVA", line 236
470092
470093
470094 Rem If Intermedia, Ultrasearch, Spatial, Data Mining upgrade,
470095 Rem first install JAVAVM if it is not loaded
470096
470097 BEGIN
470098 2 IF dbms_registry.is_loaded('JAVAVM') IS NULL AND
470099 3 (dbms_registry.is_loaded('ORDIM') IS NOT NULL OR
470100 4 dbms_registry.is_loaded('WK') IS NOT NULL OR
470101 5 dbms_registry.is_loaded('SDO') IS NOT NULL OR
470102 6 dbms_registry.is_loaded('EXF') IS NOT NULL OR
470103 7 dbms_registry.is_loaded('ODM') IS NOT NULL) THEN
470104 8 :dbinst_name := dbms_registry_server.JAVAVM_path || 'initjvm.sql';
470105 9 ELSE
470106 10 :dbinst_name := dbms_registry.nothing_script;
470107 11 END IF;
470108 12 END;
470109 13 /
470110
470111 PL/SQL procedure successfully completed.
470112
470113 SELECT :dbinst_name FROM DUAL;
470114
*** Then I can apply 10.2.0.5 PSR ( in data mining is loading)?

You can try de-install and install this component using the following note
Master Note for Oracle Data Mining (Doc ID 1087643.1)

Error (Data mining): The specified mining structure does not contain a valid model for the current task.

I'm trying to run the Cross validation report on a mining structure that contains just Microsoft Association Rules mining model. In Target Attribute, I've tried:
Actual(Service Description).SE value
Actual([Service Description]).[SE value]
Actual(Service Description)
Actual([Service Description])
just because i don't know what is the exact correct format, but none of them worked, and I always get the following error:
Error (Data mining): The specified mining structure does not contain a valid model for the current task.
the following is my mining model structure

Association rules does not allow for cross-validation
Mark Tabladillo PhD (MVP, SAS Expert; MCT, MCITP, MCAD .NET) http://www.marktab.net

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.

What are the options for me for Data Mining tools?

I am new for data mining. I have a project for which we are asked to identify the relationships between variables we got and we were asked to come up with an algorithm from data mining. What are the options available for me as data mining tools and where
do I start from? How do I travel through this process. Please advice.
mayooran99

I think that Predixion Insight is the easiest tool to use and is very powerful.
All you need to have is Windows OS, Office 2010 or 2013 and internet connection. If you want to look at what you need to do before installing Predixion, I recommend you to take a look at the walkthroughs at
http://predixionsoftware.com/Help/webframe.html#Data%20Modeling%20Walkthroughs.html
To install Predixion, go to
http://predixionsoftware.com/Technology/Predixion-Insight-Download
Tatyana Yakushev [PredixionSoftware.com]

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

Data Mining/learning

Similar Messages

Maybe you are looking for