Microsoft Association Mining Algorithem + ASP.NET 2.0

Aug 19, 2006

Hi

I am working on an academic medical project. I have created PATIENT table





PATIENT_ID
NAME |
CITY

DISEASE table



DISEASE_ID
NAME |

and Relationship table[FOREIGN KEYS]PATIENT_DISEASE



PATIENT_ID
DISEASE_ID



I am using Microsoft association algorithm [SQL Server 2005 BI Studio] to find association between PATIENT CITY --> Associated DISEASE. I will be entering dummy data into these tables as this is academic project. I like to know can i be able to find the associated Disease/s with the PATIENT City with this algorithm ? such a way as soon as the user enters PATIENT City, assocaited Disease will be selected from the diseases table? on web interface [asp.net].

i like to know after building this association model, can i use it on my web page to prompt the user associated disease with patient city? or building this model only gives association rules, i need to write a procedure or t-sql statements to implement the association rules?

I am using SQLSERVERDATAMINING.COM tutorials to build the model.

Your information and help is highly appreciated.

regards

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Nov 26, 2006

Hello everybody,

I am interested in mining association rules field

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Thanks alot

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Jul 6, 2007

I'm looking for suggestions on the right design approach in relation to a problem that resembles Basket analysis. The data to be analyzed is a dimension Attribute_DIM and contains an ID, Attribute and Attribute_Value. Some examples of the data are :



ID Attribute Attribute_Value

1 Color Black

1 Movie Men in Black

1 Book Of Human Bondage



2 Color White

2 Movie Men in Black

2 Book Grapes of Wrath



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Grapes Of Wrath Of Human Bondage

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White 1 0



I have had some success using the Association Algorithm Mining Model. I think It is an overkill since I only need descriptive and no predictive analysis.

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Thank you,

Anna.

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May 17, 2007

Hi,



I've been playing around with the association mining model in SQL server 2005 and built a market-basket analysis of my data that I'm pretty happy with. The next task for me is figuring out how to run DMX queries against the data that I've just mined, so we may possibly use it in a web based application. This wouldn't necessarily be a difficult problem (and still may not be), but every example I've seen for the Mining Model Prediction Designer uses relational databases and I built my mining model off OLAP. Therefore, my predictable attribute is nested and when relating the mining model structure to the relational database that the cube was built off always gives me an error:



"Errors in the high-level relational engine. The 'CompanyName' column could not be found in the top-level clause of the SHAPE statement."



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So you may better understand my question, my association mining structure hierarchy looks as this..



[Model] ProductRecommend

[Case][Key]CustomerList

[Case][Attribute]CompanyName

[NestedTable]Product

[Nested][Key]PRODUCTCLASSID

[Nested][Attribute]PRODUCT



With that in mind, I'm trying to perform a query simliar to this:



SELECT

PredictProbability([ProductRecommend].[Product].[PRODUCTCLASSID]), <---- Throws Error for PredictProbability syntax no matter what I try to get to [PRODUCTCLASSID]

(SELECT [PRODUCT] FROM [ProductRecommend].[Product])

From

[ProductRecommend]

NATURAL PREDICTION JOIN

(SELECT 'test' AS [COMPANYNAME],

(SELECT '1234' AS [PRODUCTCLASSID],

'ProductA' AS [PRODUCT]) AS [Product]) AS t



Thanks again for any help!

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Jul 11, 2006

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Sep 7, 2006

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Jul 22, 2006

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Aug 25, 2006

hi

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I do have Data mining with SQL Server 2005 book, could't find any resource for my objective.

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Jul 11, 2007

Hi there,

i'm new to this forum .. Maybe my way of expression is not very good, but I hope to be understandable.



I've a sql server 2005 database with 90 columns and more or less 185 thousands records. I've to run microsoft associations rules on my laptop (sony vaio sz3, core 2 duo, 2gb ram).

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hope you guys can help me.

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Hi,



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200 Helmet

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300 Shoes

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Oct 20, 2006















Thank you very much for your help.
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Best regards,
Manolis



PhD student

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With best regards,

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