BC for Data Mining models

Hello
Does SAP have BC for data mining or APD?

Hi,
Yes, we do have BC for data mining..
Have a look at this link:
http://help.sap.com/saphelp_bw33/helpdata/en/5e/63cf695b72654bb3b8c05b4eed87ec/frameset.htm
Regards
Manga(Assign points)

Similar Messages

Unable to get Audit logs for Data Mining Model Oracle11g

Hi All, I followed all the steps given below 2 links but not getting any audit logs.
http://download.oracle.com/docs/cd/B28359_01/datamine.111/b28130/install_odm.htm#DMADM024
http://download.oracle.com/docs/cd/B28359_01/datamine.111/b28130/schemaobjs.htm#sthref233
Made sure the audit_trail is set to DB.
SQL cmds and its output shown below
SQL> AUDIT GRANT,AUDIT,COMMENT,RENAME,SELECT ON mining model NB_SH_Clas_sample;
Audit succeeded.
SQL> COMMENT ON MINING MODEL NB_SH_Clas_sample IS 'i am here';
COMMENT ON MINING MODEL NB_SH_Clas_sample IS 'i am here'
ERROR at line 1:
ORA-03113: end-of-file on communication channel
Process ID: 31648
Session ID: 135 Serial number: 114
SQL> quit
Please help me if i have left out any step
Thanks in Advance

Hi.
Please take a look at the other concurrent thread on model object auditing for more detailed information. If you have Oracle support, please file a TAR with Metalink (http://metalink.oracle.com).
Regards, Peter.

Can I use JDeveloper for Data mining

Can I use JDeveloper for Data mining, instead of using stand-alone data miner.
Secondly, if I can, do we require to create another schema and run all the required scripts for data miner or it is not necessary.
Thanks in advance.

ODM 9i provided a JDeveloper Pluggin called DM4J. In ODM 10g, this was replaced by the standalone Oracle Data Miner GUI. In 10g, you can use the API in JDeveloper, but there is no support via wizards or viewers.
However, models that you create via the API through JDeveloper could be used in Oracle Data Miner for testing, scoring, and model detail viewing.

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]

Demo code for data mining

Where can I find the demo code for data mining?

Where can I find the demo code for data mining?

SQL Server Excel Add In for Data Mining: How do I retrieve the coefficients underlying the logististic regression model in excel

I constructed a logistics regression model inside Excel using the Data Mining Add In. I would like to see the coefficients for each input variable. I can't seem to find this inside excel. I tried running queries in DMX inside
Mgt Studio but that seems to return multiple coefficients
for each input variable. I am seeking
ONE coefficient for each variable.
Other applications I have used in the past provided the intercept and one coefficient for each input variable. Can someone advise on how I can achieve that inside excel or Analysis Services?
Thanks
Rich

We have this problem when we install the add-in using an Administrator's login ID.
The problem is that the add-in automatically registers the Excel add-in. This causes a whole host of problems, including the one you describe (even when we install with the user as the admin on their own machine). Other problems include conflicts with other Add-ins (e.g. nVision) & utlities that import PDF into Excel.
For our Citrix environment we do the following:
· Install Essbase Add-In as Administrator
· Replace “ntuser.dat” file in Default User profile with the “ntuser.dat” file from Administrator’s profile. (Replace C:\Documents and Settings\Default User\NTUSER.DAT with C:\Documents and Settings\Administrator\NTUSER.DAT).
· Delete existing user profile from the system
Once user logs back in, a new profile will be created to work with Essbase add-in.
Note:
1. 1. NTUSER.DAT file is a hidden file. It is only visible if show hidden file option is enabled
2. Deleting user profile from the system remove all user customization such as shortcuts, favorites, pst file etc. as well.
BUG NOTE: When you try to Unregister the Excel Add-in from your Start button, the shortcut points to the wrong file name. The file name should be "unRegExcelAddin.exe"
I hope this helps.

Data Mining model usage in real time application

Has Oracle a product that is similar with the Intelligent Miner for Scoring from IBM. Or are there any technical white papers how to use analytical Models, exported via PMML, in an Oracle Datawarehouse enviroment? I read on the Data Mining Group web pages that Oracle is a member there, but i coul`d not found any documentation of how to use analytical models exported with PMML in an Oraclae enviroment

Another way to do this is to specify your shared variable to be a custom control and create a control that simply has a 2-D array in it. I've attached a zipped LabVIEW 8.2 project that shows both methods. Enjoy!
Becky
Becky Linton
Field Engineer - Michigan
National Instruments
Attachments:
2DArraySharedVariable.zip ‏110 KB

Publishing Data Mining models,objects to Discoverer

HI everybody,
Does anybody Know where the ODM objects(tables,views) are inserted during the procedure of Publishing to Discoverer?
Whereas , I have defined a Gateway to ODM in Discoverer Administrator and the Publishing does not invoke any error , I don't see the ODM objects in Discoverer Administrator....
Why may this happen?
Thanks , beforehand
Simon

Please ensure the following patch is installed. Which version of Oracle BI are you using?
Patch 4430506 for OracleBI Discoverer Administrator, available from Oracle MetaLink; if this patch is not installed, the gateway will not work.
Also I am assuming you are familiar with how a gateway object can be loaded to the Discoverer Admin GUI in the load wizard. You can get help in Discoverer forum. Discoverer
Regards
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

Entities for Mining Models

Hallo,
I would like to Identify the Logical & Phyical Tables required for a specific Data Mining Model e.g. Churn Prediction. The "Oracle® Communications Data Model Reference 11g Release 2" Document lists "only" 5 Source Tables, Page 629 Chapter 10-9:
ocdm_sys.DWR_CUST
ocdm_sys.DWD_ACCT_STTSTC
ocdm_sys.DWR_BSNS_MO
ocdm_sys.DWR_HH
ocdm_sys.DWR_JB
Does this mean we only need to Source this 5 Tables for doing our Customer Churn Prediction?
Edited by: user639027 on 15.12.2011 12:27

Hi,
The OBE exercises show you both how to build models and then to apply (Score) new data using the built models.
A model is always built using some form of input data, so it is built specifically with that form of data in mind.
It is not a generic model at all.
When you apply a model you provide data in the same format as the original data.
In the case of a Classification or Regression model, you are applying the model to generate a prediction on new data that conforms with the build data provided to the model.
The online help provides details on all the models that are available.
Data Miner uses the data mining pl/sql packages (package name DBMS_DATA_MINING) to create and test models.
There are also sql data mining prediction functions as well.
Thanks, Mark

Microsoft Sql server data-mining add-on for excel 2013:

In browsing the models using excel data-mining add-on the browsing query recognized that the query times out after 60 seconds. The question is how we can increase the query time-out
time for data-mining add-on?

Perhaps you are meaning the timeout settings for your Analysis Server -- under Properties, General, DatabaseConnectionPoolConnectTimeout defaults to 60. Though I doubt that browsing any model should take 60 seconds. Try browsing the model
from Management Studio and seeing if you also need a lot of time.
Mark Tabladillo PhD (MVP, SAS Expert; MCT, MCITP, MCAD .NET) http://www.marktab.net

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

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

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

BC for Data Mining models

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