I am trying to run one of the mining models from the book "Delivering BI using SQl Server 2005" but I am running into "Decision Trees found no splits for model". The mining structure has 4 columns, the fourth one being marked as "Predict Only". My Cube slice for the model has sufficient data in the cube. I am lost.. Help!!
While recently working with several mining models, I came across something that struck me as pretty odd - and I'm hoping to find an explanation for the behavior.
Consider the following setup:
A single table in the relational database represents the only case table A single, continuous column is the predictable A mining structure has been created
The mining structure contains a single model, based on the MS Decision Trees algorithm Input columns were selected for the model via the BI Studio wizard (i.e., those provided via the "Suggest" button) The structure has been fully processed Now, the interesting parts:
I view the scatterplot for the mining model, under the Mining Accuracy Chart tab Back on the Mining Structure tab, I delete one of the input columns I add the same column back into the structure The structure is fully processed again When I view the scatterplot for the mining model, under the Mining Accuracy Chart tab, a different set of data points are presented for the model predictions A different set of decision trees under the Mining Model Viewer tab confirms thisHow could different patterns have been found this second time around, even though all of the input columns were the same (as well as the training cases)?
(Note: I encountered this situation while creating a new mining model that was identical to an existing one. Even though the models received the exact same inputs and training cases, they yielded different results. I was able to reproduce the behavior by using steps 1-6 above, though.)
Can someone provide some insight on this behavior, or some kind of explanation of what may be happening?
We've successfully processed a large decision tree model in SQL Server 2005. When I try to view the tree in the mining model viewer, I get the following error:
TITLE: Microsoft Visual Studio ------------------------------
The tree graph cannot be created because of the following error:
'Exception of type 'System.OutOfMemoryException' was thrown.'.
For help, click: http://go.microsoft.com/fwlink?ProdName=Microsoft%u00ae+Visual+Studio%u00ae+2005&ProdVer=8.0.50727.42&EvtSrc=Microsoft.AnalysisServices.Viewers.SR&EvtID=ErrorCreateGraphFailed&LinkId=20476
The link provides no other documentaiton on the error.
We're using 64-bit SQL on a Dell Workstation running XP-64 with 16GB of memory. From my view of things we aren't close to running out of memory. Since the model processed and the error occurs when viewing the model, is this a problem with Visual Studio and nont necessarily Anlaysis Services?
I am trying to model data in analysis services with the Advance Create Mining Model function in the excel addin. I am having trouble creating an association model that works like the Associate button above the Advanced button.
The format of my data is like this
OrderID Product
100 Bike
100 Helmet
100 Shoes
200 Helmet
200 basketball
200 Bat
300 Shoes
300 Socks
The associate button works perfectly since it asks me which column is the transaction id (orderid) and which column I am trying to predict (product). The advanced create mining model asks me to determine what the columns are...
OrderID=key Product=Input+Predict?
When I run the advance create mining model associate, I get a browser that gives me no rules and the support for only one item itemset (each product but no combination of products).
Does anyone know what I have to do to get it to work like the associate button?
I am using MS Decision Trees algorithm and for a specific model i get the above warning.As a result of that i dont get any splits in my tree. Is there anything i can do to avoid this?
I perform data mining on all products and a specific product category. Do I need to create 2 data source views, one for all products and the other one for the specific product category? Afterward, I run the Data Mining Wizard 2 times to create 2 mining structures. I also need to add the same mining model (e.g. Bayes, Cluster) to each of these mining structures. Is there any simple way to do it?
I am wondering where can I store my mining results in data mining engine? For example, I got mining results like accuracy chart, decision trees, and other formats of results based on different mining algorithms I used for my data mining, so where can I actually store the results for reporting service use later? Is it possible to do that in SQL Server 2005?
Thanks a lot for any help and guidance in advance.
I would like to know if there is any way to migrate third-party data mining packages with SQL Server 2005 data mining algorithms together then we can have a comparison among all of them to get the best results for training models.
Hoping someone will have a solution for this error
Errors in the metadata manager. The data type of the '~CaseDetail ~MG-Fact Voic~6' measure must be the same as its source data type. This is because the aggregate function is not set to count or distinct count.
Is the problem due to the data type of the column used in the mining structure is Long, and the underlying field in the cube has a type of BigInt,or am I barking up the wrong tree?
I'm a beginner with SQL 2012 SSDT & SSMS. I get this error message when I try to deploy my project:Â
"Error 6 Error (Data mining): KEY SEQUENCE columns are not supported at the case level. The 'Customer Key' column of the 'TK448 Ch09 Cube Clustering' mining structure contains content that is not valid. 0 0 " I am finding it hard to locate the content that is not valid. I've been trying to find a answer for this problem but can't seem to find anything. How can I locate the content that is not valid and change or delete it so that I can deploy this solution?
- a data mining structure with about 80 columns. - a data mining model using Microsoft_Decision_Trees with 2 prediction columns.Â
I thought I would then explore the possibility of have more than 2 prediction columns, in this case 20.
I get an error message and I can't work out : a) if this is because there's a limit to the maximum number of prediction columns and where that maximum is stated. b) if something else has become corrupted c) there's a know bug and if the error message is either meaningful or not.
Either way, I'm unable to complete the data mining wizardÂ
The error message is :Errors in the metadata manager. Either the mining structure with the ID of '[my model Structure]' does not exist in the database with the ID of 'DMAddinsDB', or the user does not have permissions to access the object.
I am using Microsoft_Time_Series and have set HISTORIC_MODEL_GAP to various values (from 1 to 21). I always get this error: Error (Data mining): The 'HISTORIC_MODEL_GAP' data mining parameter is not valid for the 'My Time Series' model.
In Algorithm Parameters window, this parameters is not there by default, so I have to add it.
Implementing data mining Add-in in an academic setting? We need to handle over 150 new students a semester and have their connection to Analysis Services survive for their four years at the college. We are introducing data mining to every freshman business student as a unit within their Intro to Excel class (close to a month of work to give them a sense of what is possible). Other courses later in their curriculum will expand on that introduction.Â
Once implemented, we would have as many as 900 connections to manage (four years from now). It is possible that multiple sections will be running at the same time, so 40 students may be accessing the data mining tools concurrently. Â
Is there a way to "bulk establish" the access credentials and establish those databases?
I get the following error when I try to load the mining model in the mining model viewer
Query (1, 6) The '[System].[Microsoft].[AnalysisServices].[System].[DataMining].[NeuralNet].[GetAttributeValues]' function does not exist.
I get a similar error when I try to load the Load Mining Accuracy Chart
Failed to execute the query due to the following error:
Query (1, 6) The '[System].[Microsoft].[AnalysisServices].[System].[DataMining].[AllOther].[GenerateLiftTableUsingDatasource]' function does not exist.
I am trying to write some DMX queries to create and populate a mining model as a SSMS analysis services project. I followed the following steps:
1. Create the mining model using a CREATE MINING MODEL ... query.
2. Followed by the - INSERT INTO MINING MODEL ... query, which fetches prediction data from another mining model to populate the mining model.
3. I now want to use this new model for prediction, which requires processing the mining model first. When I process the model, it throws the following error:
Error (Data mining): The 'XYZ_Structure' structure does not contain bindings to data (or contains bindings that are not valid) and cannot be processed.
Please suggest if I am making a mistake in the above procedure. I will appreciate all help in overcoming this issue.
Auxilliary question: How do I process the mining model programmatically?
With SASS Database i have created Data mining Structure Using Time series algorithm, while processing the SSAS db, Data mining  taking long time to process, so how we can  reduce processing time ???
I would like to develop an application that can create Data Mining structures and a mining model in SQL Server 2005 with VB.NET. I tried the code from book Data Mining with SQL server 2005 in chapter 14 but did not work. Any good idea?
Thank you very much for your help. The errors that I can see in the code that you gave in your answer are the following and they are more or less the same as I had previously
I tried the code but initially I have encounter the following problems.
1. In any line that have the declaration As Server, As Database like in Public Function CreateDatabase(ByVal srv As Server, ByVal databaseName As String) As Database gives me the problem that type Database is not declared the same type Server is not declared and it does not give me any option.
2. In addition to that for As DataSource, As RelationalDataSource, As RelationalDataSourceView, As ScalarMiningStructureColumn, As DataSourceViewBinding, gives me the problem that type is not declared.
3. Finally in mc = New MiningModelColumn("Yearly income", Utils.GetSyntacticallyValidID("Yearly income", Type.GetType(MiningModelColumn))) is not accesible in this context because it is 'Private'. I have some more problems but I thing that by solving the above that I referred I will solve the rest.
Hi, I have just run a simple data set through a model to predict a simple true or false value (i.e. binary output) The Lift Chart/Mining Legend in Analysis Services shows three results €“ Score, Population Correct (%), and Predict Probability (%)
Population Correct I beleive is the percentage of predictions it got right out of the total number of predictions it tried to make. Is this correct?
However, I can€™t work out how the other two are derived in particular the 'SCORE'. To give a live example the scores were as follows:
Model Score Pop Correct Pred Probability Decision Trees 0.83 76.59% 54.28% Neural Network 0.75 67.63% 50.05% Ideal Model 100.00%
Can anyone help with this and give a detailed explanation?
I tried to find the graphs I saved from Data Mining Model Viewer, but where is it saved? As we see from the mining model viewer we could save the graphs there by clicking the 'save graph' button, but where is the graph?
Really need help for that.
Thank you very much in advance for any guidance and help for that.
I am new to SQL Server 2005 Analysis Services and would like to use the OLAP Cubes as a datasource to build Mining Model . However i would like to use a particular view of the OLAP cube that i have generated to be used as the datasource for the mining model . I find that i am not able to save the Cube View while browsing the OLAP cube in Business Intelligence Studio. Is there a way i can acheive this requirement.
Any ideas regarding this will be really appreciated.
I can't figure out how to put nested tables into the Data Mining Model Training Transform (SSIS). I can do a simple case table, but how do you get those nested tables with DM Training Transformation? Any ideas? Samples?
I dont think we should sample any nested tables for data mining model training? Since I think any nested tables are bound to the case table. Therefore whenever we sample the case table, the nested tables are like any other input attributes within the case table to be rectrieved as inputs accordingly?
Thank you very much for any guidance to clear my confusion.
I am attempting to create the "Classification - Children at Home" Data Mining Model as described in Larson's book. Each time that I create it.. ONLY the ALL LEVEL is shown and it is impossible to expand the model to look at the Decision Tree, Neural Network, or the Clustering model etc. Drill down is enabled (tried it with and without enabling the drill down). The Children at Home field has been populated with values from 0 - 4. Any ideas would be greatly appreciated. regards Steve
I am attempting to create the "Classification - Children at Home" Data Mining Model as described in Larson's book. Each time that I create it.. ONLY the ALL LEVEL is shown and it is impossible to expand the model to look at the Decision Tree, Neural Network, or the Clustering model etc. Drill down is enabled (tried it with and without enabling the drill down). The Children at Home field has been populated with values from 0 - 4. Any ideas would be greatly appreciated. regards Steve
Hi, I am not getting Mining Accuracy Chart and Min ing Model Prediction Plz tel me how to do.And how to use the filter input data used to generate the lift chart and select predictable mining model columns to show in the lift chart
I am wondering if it is possible to use SSIS to sample data set to training set and test set directly to my data mining models without saving them somewhere as occupying too much space? Really need guidance for that.
I've tried those two operations in the Management Studio. Though we can create a mining structure and mining model in Management Studion, but we cannot process the analysis-service database.
(1) I create only a mining structure through CREATE MINING STRUCTURE. No error reported. But if I process the analysis-service database in Management Studio I always get error
'Error : The '<mining_structure__name>' structure does not contain bindings to data (or contain bindings that are not valid) and cannot be processed.
I then tried to create it by creating and running an XMLA script. It was successful. However, it's much harder to learn XMLA.
If any of you created an analysis-service database in Mgt Studio, and create a mining structure in the same place using DMX script, can you process the database?
(2) Is there any use of CREATE MINING STRUCTURE operation without binding to any table? Examples I saw so far did not show relating it to do. In my experience processing the analysis-service database with that mining structure is doomed to fail.
(3) Is there any way we can create mining structure through CREATE MINING
STRUCTURE operation in Management Studio and use RELATED TO clause
to bind it to any Relationship to an attribute column (mandatory only if it applies), indicated by the RELATED TO clause
(4) If this is the fact, is there any use of CREATE MINING STRUCTURE operation? If we use BI Dev Studio, it's much easier to use the wizard.
(5) I found I cannot create a mining model inside a mining structure through operation CREATE MINING MODEL. If you call that operation, you end up having a mining model and a mining structure with the same name. I found that in order to create a mining model inside a mining structure you have to call operation ALTER MINING STRUCTURE ADD MINING MODEL. Is it true this is the only way?
I am trying to delete tables from data where the ModifiedDates older than 9 years in AdventureWorks2012 database . I get console notified that foreign keys are dropped but the delete statement is throwing errors. I am sure that somewhere the key constraints are not getting altered, but i'm not able to figure it out as i'm a relative beginner to T-SQL. The error and code:
The DELETE statement conflicted with the REFERENCE constraint "FK_SalesOrderHeaderSalesReason_SalesReason_SalesReasonID". The conflict occurred in database "AdventureWorks2012", table "Sales.SalesOrderHeader [System.Reflection.Assembly]::LoadWithPartialName("Microsoft.SqlServer.SMO") | Out-Null $option_drop = new-object Microsoft.SqlServer.Management.Smo.ScriptingOptions; $option_drop.ScriptDrops = $true;
