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?
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?
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 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?
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?
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?
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.
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?
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.
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.
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'
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.
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.
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?
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!
I 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.
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.
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
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?
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.
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?
I used data viewers to trace data imported to my Fact table but I would like the whole grid lets say to be exported into an Excel file. Is that possible without examining buffer by buffer?
I came back from the weekend and noticed that none of my data viewers pop-up any longer, neither existing nor new ones. The job pauses at the point where the data would be following through the viewer but I cannot make it continue (since I don't have a "play" or Detach button.) The only way to terminate the job is with the "Stop" button on the Toolbar. Anyone know how I can get these back?
I have multiple viewers on a web page and initialy would like AsyncRendering = true on all viewers, so I can have the loading message. Once the user drill-through, I hide all other viewers and change to AsyncRendering = false, so the autosizing will work. But, with AsyncRendering = true (in code behind): private void SetDominateViewerProperties(ReportViewer rptViewer) { rptViewer.AsyncRendering = false; rptViewer.ShowToolBar = true; rptViewer.ZoomPercent = 100; rptViewer.Visible = true; } private void SetDefaultViewerProperties(ReportViewer rptViewer) { rptViewer.AsyncRendering = true; rptViewer.ShowToolBar = true; rptViewer.ZoomPercent = 100; rptViewer.Visible = true; } I have only one viewer showing, even though, I can see in debug that all viewers are set to visible. In SetDefaultViewerProperties, I change rendering to false, I get multiple viewers. Are there combinations of property values I need to set?
I've got a SSIS package which comprises a pair of Sql Task and after that a Data Flow. Such Data Flow own two Data Viewers, one between my Excel Source and my Derived Column and the another one between my Derived Column and my Ole DB Destination. Up to here, everything's fine.
Package really works properly but when I execute only the first Sql Task runtime shows (as usual) Excel Source Ouput Data Viewer1 and Derived Column Output Data Viewer1. Both windows empty, of course. Problem comes when I choose 'Copy Data'. Inmediately, appears a dialog with the message: "Windows has encountered a problem and needs to close"
I wonder, at first, why on earth these two windows are showed when I execute a task which belongs to Control Flow no Data Flow????? What happen?
I have a decision tree model and I am trying to view the tree using the DMDecisionTreeViewer control as in this sample http://www.sqlserverdatamining.com/MovieSurveyDemo/ . I followed the instructions at this site http://msdn2.microsoft.com/en-us/library/ms160727.aspx and set the following properties:
Server My analysis services server Database My analysis services catalogue Model My decision tree model name ViewType Tree TargetTree My decision tree's predictable attribute
When I run my application, the component does not display anything and the webpage produces two errors:
1. Syntax Error 2. 'NodeData' is undefined
Furthermore, when I run the query that is expected to give me the TargetTree property value, I get nothing as a result.
SELECT NODE_UNIQUE_NAME, ATTRIBUTE_NAME
FROM [Model].CONTENT
WHERE NODE_TYPE=2 I managed to view my decision tree using windows viewers without problems. Do you have any idea on what I have done wrong, and is the MovieSurveyDemo source code available?
Is there a way to change the font that the data viewer uses, so that the Chinese characters don't appear as boxes? The data viewer displays Chinese characters as boxes, something similar to [_], at least on a computer with the following regional settings.
get-wmiobject CIM_OperatingSystem | ft OSLanguage, CodeSet, Locale
OSLanguage CodeSet Locale ---------- ------- ------ 1033 1252 0409The data itself is flowing correctly into the target database with a pipeline data_type of DT_WSTR. The ideograms can be seen by query utilities which supports a unicode font (e.g. Management Studio).
I'm using Reporting Services Integration Mode and I have a page that has a number of report viewer webparts on it to display reports. Is there a way that I can add another webpart to pass parameters to all the reports at once instead of individually? I am trying to build a dashboard and this is one of the requirements. I see on the Report Viewer web part, that there is an option in Connections to 'Get report parameters from' , but it is greyed out. Any ideas on how to do this?