Hi, all experts here,
Thanks for your kind attention.
I want to filter the itemsets or rules based on more than 2 attributes, how can we achieve that? (I can only filter them by only one attribute?). Is it possible to achieve that?
Thanks a lot and I am looking forward to hearing from you shortly.
With best regards,
Yours sincerely,
When i use the MS association rules ,i don't know how it is worked on the background .I stuy the Fp-Growth algorithm , but there're some questions , I don't kown what's the meaning of transcation database. who can give me one example ? thanks .I know we can store the data in relation database,but in basket Analysis ,how a transaction stroed in relation database?
View 3 Replies View Related1) I use the identifier of transaction and attribute in one table.
Do I can to build a association rules structure without the use of the nested tables?
I tried - did not turn out...
2) As it is necessary to use a main and child table, can not build a prediction query.
When I try to add the predict column in a criteria/argument (Field=PredictSupport), i'll given message:
"Nested table column cannot be used as an argument in a data mining function."
I can not use other columns, because they are not predicable.
Hi there,
it has been a long i'm trying to execute Microsoft Association Rules on my database.
I solved memory leak problem now, but i still can't understand output rules.
Database contain all the italian student who took a degree last year. Here in Italy, they have to compile a summary where they speak about universitary experience. ie: they talk about experience with teachers (pointage from 1 to 5); they says if they want to continue in the universitary field or not, and so on.
Most of the rules, says:
Int_Stud=1-2, RapDoc>4
Int_Stud is the column where i store student intention to continue university. 1 means they want to go on, 2 means they do not want to continue to study. So, this rules has no sense, because it relates all the student (in my mind): the one who wants to continue university and the one who do not want to.
I think problem is that visual studio 2005 and analysis service has no understanding of Int_Stud world, they've no idea that Int_Stud can have just 2 values and that they're opposite each other. Is there a solution to this problem? Can i discretize this column?
Even if I know not to have perfect english, I hope to be understandable
I note that there exist three web viewers for data mining algorithms, namely, DMNaiveBayesViewer, DMDecisionTreeViewer and DMClusterViewer. How come there are no viewers for association rules (itemsets, rules, dependency network)? Can you suggest any alternative way of showing such valuable information in a web application?
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I understand Mr. MacLennan's explanation provided at http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=282651&SiteID=1 and appreciate the time he took to explain how importance works. However, like the user with username "sang", I also ran the data in BI 2005 and got the same results listed by the aforementioned user. I did this using the following data:
donut
muffin
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
n
y
n
y
n
y
n
y
n
y
etc.
The rule muffin -> donut has an importance of -0.105302438, which is not the same as Mr. MacLennan's results. I tried switching the roles of a and b in a -> b and using different bases on the logarithms. I don't get the result of -0.105302438 with any of these. I also tried to calculate importance with a small data set I have and can't get the results using Mr. MacLennan's explanation with that data set either. Any thoughts on the descrepancy?
Hi
I am doing the Market basket analysis for a retailer using association rule. The whole data set is huge which contains grocery, clothes and books etc. If I want to check out the relationship between several different clothes brands, (e.g. LEVI'S and adidas), should I just remove all the grocery and books transactions, use the subset which only contains clothes transactions to re-run the association rules? Is this gonna work?
Thanks in advance!
Hi
I got a question about the data preparation of market basket analysis.
There are always some transactions with only one single SKU product. It seems that these kind of transactions have nothing to do with association. Shall I just exclude them or what?
Thanks in advance.
Hello,
I want to score my data by only the assoziation rules I filtered in Mining-Model-Viewer.
Is this possible?
I recognized that MiningModel Predictionquery uses the generated Model (all rules).
Is there any way to influence the model at generating time.
Thanks a lot.
Hi,
I specified the point to solve my problem but I did not understand why MS SQL Server didn't recognize the Association parameters I but in. It uses the Minimum_Probability I put in, but the Minimum_Importance i wrote didn't care it, it use the default value.
I want to paste a screenshot here but it isn't possible. By the way I'm using the evaluation version, which should be same as the enterprise edition.
Hope for a soon answer.
Best Regard
Hello everybody,
I am interested in mining association rules field
I have found some posted statements but I didn't undertand them. I need your help badly.
Just tell from where should I start?
Thanks alot
I need to create a set of cases for a project that uses the Microsoft Association Rules algorithm to make recommendations for products to customers. My question is: the set of scenarios must include all transactions of customers for training?. or is it sufficient some percentage of total transactions? If i do not use all transactions of customers, could be that the algorithm does not consider some products in their groups or rules and could not make recommendations about these?
thanx
Diego B.
I've set up an association rules mining model on SQL Server 2005.
Below is the output for the "rules" tab in the model viewer:
0.457 0.480925197502775 BAKERS BASKET = Existing -> FR ORANGE JUICE = Existing
0.423 0.467835626151174 ONE EGG = Existing -> FR ORANGE JUICE = Existing
0.416 0.42489020548496 GRANOLA PARFAIT = Existing -> FR ORANGE JUICE = Existing
0.416 0.344523279228151 CROISSANT = Existing -> REG CAPPUCCINO = Existing
0.430 0.338244068974039 PAIN AU CHOC = Existing -> REG CAPPUCCINO = Existing
0.424 0.332652863071932 FR ORANGE JUICE = Existing, REG LATTE = Existing -> REG CAPPUCCINO = Existing
The problem is that I can't seem to reduce the minimum probability below .42 to view more rules.
I've considered that it might be becuase these are the only rules discovered, however I know quite a bit about the data and I would excpect many more associations.
The data is transactional in the format
TransactionID, ItemID
Hello,
I'm new to analysis services and hopefully this is a quick & easy question. I have a couple of quite large (163,000 tuple) tables with columns essentially representing a bit vector. I would like to mine for association rules but the number of '1' values are very, very sparse and they are the only objects of interest. How can I get more control over the algorithm---that is, how can I stipulate that the state of the column must be '1' to be considered? Any help or direction to the proper documentation would be great.
Hi!
I'm building a mining model wiht MS Association Rules. After processing this model, the result includes some rules(example):
E = Existing, C = Existing -> B = Existing
F = Existing -> E = Existing
C = Existing, B = Existing -> E = Existing
F = Existing -> B = Existing
B = Existing, A = Existing -> C = Existing
F = Existing, B = Existing -> E = Existing
F = Existing, E = Existing -> B = Existing
D = Existing -> A = Existing
C = Existing -> A = Existing
E = Existing, A = Existing -> B = Existing
I want to buid a query that has two or more items on the left of the rules, example: E = Existing, C = Existing -> B = Existing
->I want to buid a query to predict that: when a customer buy 'E' and 'C' then he likely buys 'B'
Hi
I read the paper of sequence clustering. It seems that the major application of the algorithm is for the web site. I was just thinking that can I apply this algorithm on the purchase sequences of credit card data?
If so,please also tell me the difference between sequence clustering and association rules on credit card data application. Although I realize that sequence clustering is a fully probabilistic model and it has the capability of prediction, association rules also give the probabilities of purchasing the other products.
Thanks in advance.
To Wong
Hello,
I would really appreciate if you could help me out. I am trying to create a taxonomy to be taken into account into the association rules algorithm. For example, if my data is a group of purchases from a supermarket I could have one client who bought milk, cookies and shampoo, and another who bough cheese, cookies and soap.
I would like to specify that milk and cheese belong to the category "dairy" and shampoo and soap belong to "personal hygene". If there are interesting rules regarding the categories I would like them to be taken into account. Additionally, I would not like to have rules like "milk -> dairy". If one specific object appers in a rule, its corresponding category should not.
In this scenario I could have milk and "personal hygene" in the same rule, but not shampoo and "personal hygene".
I have seen this done by other mining tools but I've been having trouble finding a way to make this possible in Analysis Services.
Thank you very much.
What would be the right design approach for the following problem?
I have a single table called SelectionFactors, which has the following columns and sample data:
ProjectID
Factor
FactorValue
1000
Countries
USA
1000
Countries
Canada
1000
Countries
France
1000
Languages
English
1000
Languages
French
1000
Company Type
Consulting
1000
Company Type
Software
2000
Countries
India
2000
Countries
China
2000
Countries
USA
2000
Languages
English
2000
Languages
Chinese (Simplified)
2000
Languages
Chinese (Traditional)
2000
Languages
Spanish
2000
Company Type
Retail
2000
Company Type
Dairy Products
The problem is to allow a descriptive analysis of the data to find patterns in the users selections. For instance,
if Languages->English is selected, what are the counts of projects for other Factor->Factor Value combinations?
Countries->USA = 2, Countries->Canada=1, Company Type->Consulting=1 and so on.
Since all the data is in this single table, are both the case and nested tables the same? What are the keys and inputs? I only need a descriptive analysis (no prediction) and ALL possible combinations MUST be part of the results; how should the model be designed?
Thank you,
Anna.
MS uses the a priori algorithm in Association Rules, while other DM software have gone to the Novel Algorithm. Can you tell us why MS decided to stay with the a priori? Did you overcome the limitations that it's accused of having? Thanks!
View 5 Replies View RelatedI build a data mining model to predict what are the best studying methods for the student to pass the examinaton.
Create Mining Model StudentAssociation (
Student_No long key,
Gender text discrete predict,
PassOrFail text discrete predict,
StudyMethod table predict ( MethodName text key )
) Using Microsoft_Association_Rules ( Minimum_Support=0.02, Minimum_Probability=0.03 )
The mining table will contain all the methods that the students use, no matter their examination is passed or failed.
The value of PassOrFail will have either 'Pass' or 'Fail'.
According to the above model, can I query the best studying methods?
Or I should only train the model with the student who pass the examination, and ignore all the failed.
Thanks.
Joe.
If I use this code with an association model, it still returns itemsets for me - when it should be returning only nodes with rules associated with them (according to sqlserverdatamining.com). If I try adding 'AND $PROBABILITY > .25' to the where clause, it returns 0 results for every query I try. Any clue why this may be happening?
Code Snippet
SELECT FLATTENED
(SELECT * FROM PredictAssociation([Product],20,
INCLUDE_NODE_ID,INCLUDE_STATISTICS)
WHERE $NODEID<>'')
FROM
[ProductRecommend]
PREDICTION JOIN
OPENQUERY([ds],
'SELECT
[PRODUCTCLASSID],[DESCRIPTION]
FROM
[Product_Table]
WHERE
[PRODUCTCLASSID] = ''1234'' AND [DESCRIPTION] = ''DESC''
') AS t
ON
[ProductRecommend].[Product].[PRODUCTCLASSID] = t.[PRODUCTCLASSID] AND
[ProductRecommend].[Product].[DESCRIPTION] = t.[DESCRIPTION]
This query returns more relevant results than those lacking the filtering by $NODEID, however the results should have higher probabilities than .047! Please help! Thanks!
"If you have a pressing need for this fix, please contact our customer support team."
Yes I have a pressing need for this fix, where I have to contact your customer support team. How do I do that?
You know I only have the evaluation version of SQL Server, but I have to show that this programm is good enough to solve Association Analysis. If I can not show this it wouldn't be bought. Please help me.
TNX
hi
I am using Microsoft association algorithm to find the association between PATIENT CITY ---> likely Disease. I like to know how can i import association model after creating from SQL Server BI studio to use in my ASP.NET web form? such a way when the user enters PATIENT CITY, system prompts associated Disease.
I do have Data mining with SQL Server 2005 book, could't find any resource for my objective.
Please suggest best source or tutorial how can i do
your help and insight is highly appreciated.
Raju
In assotiation rules each rule has a [support, confidence] part. In Microsoft Association Rules there is a [probability,importance] measure in each rule and importance can be greater that 1.
I found the following in msdn but i'm not sure if i understood correctly.
MINIMUM_PROBABILITY: Specifies the minimum probability that a rule is true. For example, setting this value to 0.5 specifies that no rule with less than fifty percent probability is generated.
The default is 0.4.
MAXIMUM_SUPPORT: Specifies the maximum number of cases in which an itemset can have support. If this value is less than 1, the value represents a percentage of the total cases. Values greater than 1 represent the absolute number of cases that can contain the itemset.
The default is 1.
My questions are
1) Can i explain the [probability,importance] in [support,confidence]? If yes, how?
2) What importance>1 means?
Thank you in advance.
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).
The problems is that the amount of ram seems not to be enough [it starts to swap when it's reading 240th case)
Because of this, i decided to sample my data by extracting 10thousands records randomnly ... it lasts 25minutes (more or less) now, but it's still to much...
Does a better way exists? What's the problem: column or row numbers?
hope you guys can help me.
For example, I have a Date dimension with attributes like Current Day and Current Month. If I run the following, I get exactly what I expect: a list of the days in the current month.
select
NULL on 0,
[Case - Date - PSPT Entry].[Year - Quarter - Month].[Date] on 1
from [Customer Support]
where
[Case - Date - PSPT Entry].[Current Month].&[True]
When I run the following, I'm getting a list of the days in the current month *plus the first couple days of the next month*. with
set [Days of Interest]
as
filter([Case - Date - PSPT Entry].[Year - Quarter - Month].[Date], [Case - Date - PSPT Entry].[Current Month].&[True])
select
NULL on 0,
[Days of Interest] on 1
from [Customer Support]
I am unable to find solution for the problem while writing a Named Set in my cube.
I have a calculated measures which gives me difference in Sales in PERCENTAGE (%).
When I try to filter out those product codes which went a less than 5 %, I get no records.
I have also tried to filter direct values lets say - Products with sales > 100000 which is working fine.
Following is sample of my Named Set
FILTER([X].[Products Code].members, [Measures].[Diff in Sales]<5)
I believe as the values are in percentage, I am facing this issue.
I have an entity (A), in which I use domain based attribute. The second entity (B) has several attributes. My problem is that, I would like to filter the first entity (A) based on an attribute that belongs to the second entity. The only way I can filter it (in MDS Excel add-in or Explorer) is by using Code or Name from the second entity.
I have in mind a couple of solutions, but they require some coding with xml saved query from Excel.
I am using this code to render the ItemSet of AssociationRules:
SELECT NODE_DESCRIPTION AS [Item],NODE_SUPPORT AS Suporte
from [Association].CONTENT
where NODE_TYPE=7
How do I make to show the Size like in ItemSet of ReportViewer?
I want to insert attibute att1 in field F1 . Value for this attribute is content of another field in this table (F2).
My query :
update MyTable
set F1.modify
('insert attribute att1 {sql:column("F2")} into (/ROOT/Node1)[1]')
Where F1 Is not null
But I get this error :
XML well-formedness check: Duplicate attribute 'att1'. Rewrite your XQuery so it returns well-formed XML.
How do I check the douplicate attribute ?
HI,
I had to change the key columns of a dimension attribute to fix an error. I did this in BIDS. The change was from a single key column to a composite key column. Now I am getting these error when I process the cube:
Measure group attribute key column x does not match source attribute ..
I looked at the cube XMLA definition under mesaure groups and it still shows a single key column with inherited binding. However, the BIDS does not give me an option correct this in any way. I have had to do this once before and the only option seems to be removing the dimension from the cube and add it back in. But that is very error prone since I lose any specific settings at the cube dimension level not to mention aggregations no longer include the dimension, etc.
Not seeing an alternative, I went through each measure group (I have 7) and changed the key columns manually in the XMLA and saved the cube. This worked, but I don't understand why BIDS automatically doesn't do it.
Is this a flaw in the BIDS or I should be missing something.
thanks
MJ
Hello,
Here is my problem:
I use SQL Server 2005. I have approx. 50 tables in my database and 30 of them have a filed named "CompanyID". Example:
create table A (ID int identity, NAME varchar(100), COMPANYID int)create table A (ID int identity, REF_ID int, FIELD1 varchar(100), FIELD2 varchar(100), COMPANYID int)
Also there are nearly 200 stored procedures that read data from these tables. Example:
create procedure ABCasbegin /* some checks and expressions here ... */ select ... from A inner join B on (A.ID = B.REF_ID) where ... /* ... */end;
All my queries in the Stored procedure does not filter the tables by CompanyID, so they process the entire data.
However, now we have a requirement to separate the data for each company. That means that we have to put a filter by CompanyID to each of those 20 tables in each query where the tables appear.
Firstly, I put the CompanyID in the context so now its value is accessible through the context_info() function. Thus I do not need now to pass it as a parameter to the stored procedures.
However, I don't know what is the easiest and fastest way to filter the tables. Example:
I modified the above mentioned procedure in the following way:
create procedure ABCasbegin /* some checks and expressions here ... */
-- gets the CompanyID from the context: DECLARE @CompanyID int; SELECT @CompanyID = CONVERT(float, CONVERT(varchar(128), context_info()))
select ... from A inner join B on (A.ID = B.REF_ID) where ...
and A.COMPANYID = @CompanyID and B.COMPANYID = @CompanyID /* ... */end;
Now I have the desired filter by CompanyID. However, modifying over 200 stored procedures is rather tedious work and I don't think that this is the best approach. Is there any functionality in SQL Server that can provide the possibility to put an automatic filter to the tables.
For example: when I wrote "SELECT * FROM A", the actual statements to be executed would be "SELECT * FROM A WHERE CompanyID = CONVERT(float, CONVERT(varchar(128), context_info()))".
I was looking for something like "INSTEAD OF SELECT" triggers but I didn't manage to find any answer.
I would very grateful is someone suggests a solution for something like "global table filter" (that will help me make an easy refactoring)?
Thanks in advance.
Best regards,
Beroetz
Howdy,
I have a table that has a group. In this group, I want to filter by 2 different expressions, concatenated with an OR. BUT I can't change the "And/Or" column value for the first entry because it is grayed out. The column will automatically change to an OR value if both my expression column fields are the same (which I don€™t want) but if I put any other value in to the expression field of the second row, the "And/Or" field of the first row automatically changes to an AND.
PLEASE! How do I get the And/Or field "ungrayed" so I can change it to what I want?
The 2 filters I and using check the UserID = to the user, and the other is checking a count to get the Top N 1. (So just showing the current user and the top producer)
hello, i've just started playing around with rules and udtis it possible to alter rule?are rules 'slower' compared to check constraint?
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