Product Basket Problem

Aug 9, 2006

Hi,
I have to build a Poduct basket mining mode

Hi,

I have to build a Product basket mining mode such that when a customer selects
a product the model should be able to recommend him/her some more products.

I have a customer, product transaction table.



I have come across many typical examples where the output is
as follows



Customer Recommended Products

Cust1 a, b, c€¦€¦.

Cust2 e, b,
f€¦€¦€¦.



But I want the output of the model to be as follows



Product RecommendedProducts



A B, C, D€¦€¦.

B E, D, A€¦€¦.

C D, A, F€¦€¦





How should my mining model structure and the prediction
query look like?

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Market Basket Analysis

Oct 16, 2007

Hi!

I have a problem. I would like to make Market basket analysis on data.
Here is the example of data structure:

Customers
Customer_ID
Gender
Age
City

CustomerProducts
Customer_ID
Product_ID

I've created mining association model where Customers is a case table and CustomerProducts is nested table.
(I guess that association algorithm is the best for this kind of analysis).

My questions are:
1. How to write DMX query for next question:
Give me the list of customers that are using Products R1, R2, ... Rn and have potential to buy Product Ri
(List of customers with probabilities to buy Ri)

2. DMX query for next:
Same as 1. but customers filtered by some criteria, for example Gender = 'M' and Age between 25 and 36

3. DMX query for next
For chosen product Ri give me the list of groups of products with probabilities that customers that are using products from that group will buy product Ri.
(here is the example: for product Ri list will have to look like this:
R2, R5, R6 0.85
R5, R7 0.76
R1, R4, R5, R8 0.75
...
)
I don't know does this report have sense since customers that own products from one group have different other attribute values (Gender: M, F; Age...) but I have request like that...
Thanks in advance

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Dec 11, 2007

Can someone please help me with this? I am trying to do a Market Basket Analysis with this kind of data, which can be downloaded here-- filename: foodmart.mdb (https://acs.senecac.on.ca/ftp/ms/). Using the sales_fact_1998 table, I'd like to:

1) Run a "regular" SQL query
2) Run a SQL theory using the "A-Priori" method.

If anyone of you can help me, I would greatly appreciate it. Thanks.

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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



We need to be able to analyze multiple selections of the dimension. For example,



Men In Black

Grapes Of Wrath Of Human Bondage

Men In Black Black 1 1

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.

I'm looking for some ideas on the right approach to this problem. Ideally, we need to present the data in a cube and have the possibility to perform member analysis of the dimension.

I have looked at several articles (including http://msdn2.microsoft.com/en-us/library/aa902637(sql.80).aspx and http://www.aspnetpro.net/newsletterarticle/2004/10/asp200410ri_l/asp200410ri_l.asp). I'm not convinced those are the solutions and would appreciate any insight into this problem.



Thank you,

Anna.

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INSERT INTO @Hierarchy VALUES (123, 234)
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[Code] .....

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Hi,

I am interested in opinions on the following,

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From
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