Data Mining - Scalar Mining Structure Column Data Type Error...
May 31, 2006
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:
"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?
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 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.
I'm doing a custom clustering plugin for text to pre-process ("clean" the texts), calculate weights, estimate the number of clusters (using the PBM index) and finally, do the actual clustering.
So... I've made each of these modules on C++ and I'm putting them all togheter on the plugin.
My database (MDB file) has only one table, with only two fields within: a key (auto-incremental) and a small text. What I intend to do is to get the text in each test case, store them togheter somewhere and call my classes to cluster these texts.
I'm trying to log the texts in a file (just a test) on the ProcessCase method, in the CaseProcessor class. I've did it with no problems with numerical data.
But when I load the MDB file on the Mining Structures Wizard, it says the content type of the field holding the texts is "Continous" and the data type is "Text". Actually, when I saw it I didn't really mind.
But when I run the mining model it gives me the following error: "Error 1 Error (Data mining): The data type of the Table1.Texto mining structure column must be numeric since it has a continuous content type (Content is set to Continuous or Key Time or Key Sequence). 0 0 "
So... How do I change this content type ? (the content type combobox on the Mining Structures Wizard couldn't the changed)
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.
- a data mining structure with about 80 columns. - a data mining model using Microsoft_Decision_Trees with 2 prediction columns.
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 wizard
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.
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.
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.
Is there a way to "bulk establish" the access credentials and establish those databases?
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.
I just found that I am not able to view the accuracy chart for my mining model. The error message is: no mining models are selected for comparision. Which is quite strange.
I got a quite a strange problem with Mining structure for OLAP data source though. The problem is: I am not able to edit the mining structure in the mining structure editor. The whole data source view within the mining structure editor is greyed. Could please anyone here give me any advices for that?
Thank you very much in advance for any help for that.
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 ???
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 cant 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 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'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 a bit confused for the model evaluation (lift chart), should we map all the columns for both the mining structure and the case table? I mean for those predictive models, we have a predict column, shouldnt we ignore the mapping of the predictive column between the mining structure and the case table? But it seemes we are not allowed to miss the predictive column mapping between the mining structure and the case table.
Why is that? Could any experts here give me some explanation on that?
Hope my question is clear for your help.
Thanks a lot and I am looking forward to hearing from you shortly.
I am getting error messages when trying to run some of the features in the Data Mining addin for Excel. The error message says:
"Could not load file or assembly 'Microsoft.DataWarehouse, version=9.0.242.0, Culture-neutral, PublicKeyToken=89845dcd8080cc91' or one of its dependencies. The system cannot find the file specified."
Some features work fine (ex: highlight exceptions), but others don't (ex: detect categories).
Any clue?
Configuration: - SQL Server with SP2 and hot fix build 3054 - Excel 2007 - Windows XP all in one box
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 posted a related thread before about this error below when I process a dimension. And seems that the solution by using "ClearCache" can not fingure out the issue when I want to process a mining structure...... .
OLE DB error: OLE DB or ODBC error: There is not enough procedure cache to run this procedure, trigger, or SQL batch. Retry later, or ask your SA to reconfigure SQL Server with more procedure cache. ; Sort failed because there is insufficient procedure cache for the configured number of sort buffers. Please retry the query after configuring lesser number of sort buffers.
Could someone please give me some suggestions? Your help will be very appreciated:-)
I downloaded a copy of sql server and when I run the following query in the sql management studio after choosing new query , DMX I get the above error
CREATE MINING MODEL [NBSample]
(
CustomerKey LONG KEY,
Gender TEXT DISCRETE,
[Number Cars Owned] LONG DISCRETE,
[Bike Buyer] LONG DISCRETE PREDICT
)
Using Microsoft_Naive_Bayes
Also in the pane Mining Model I get the message No mining models found. The only error I get when I installed SQL server was a COM plus registration error. I am running Windows XP SP2. Can someone please help.
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?
I wrote a data mining plug-in algorithm in SSAS and now I am trying to view the lift chart in Management Studio. The studio gives the following error:
"The Data Mining Query builder control cannot be initialized due to the following problem: Deserialization failed: Multiple definition of element 'Column12' causes the content model to become ambigious. A content model must be formed such that during validation of an element information item sequence, the particle contained directly, indirectly or implicitly therein with which to attempt to validate each item in the sequence in turn can be uniquely determined without examining the content or attributes of that item, and without any information about the items in the remainder of the sequence."
I really do not understand what i did wrong. Can anybody help me?
I have an error message I was wondering if anyone else has seen and resolved. When I open excel and click on the query wizard on the Data Mining Ribbon, I get an error message that says "Input String not in Correct Format"
After I close this dialog box the 'Welcome to Query .... ' wizard will open, but when I select the Advance button my process aborts due to the input string error.
I have only ran association models on the computer.
The Manage Models and Browse buttons work fine.
The error came up on Friday, but it wasn't there on Thursday. There were no changes done to the machine (no installation of new software).
I have tried reinstalling the add-in.
Thank you all for your help,
Davy
I have pasted the SQL syntax below that I get from the error dialog box after the query wizard closes.
See the end of this message for details on invoking just-in-time (JIT) debugging instead of this dialog box.
************** Exception Text ************** System.NullReferenceException: Object reference not set to an instance of an object. at Microsoft.SqlServer.DataMining.Office.Excel.QueryBuilder.QueryBuilderParameters.UpdateNestedColumnName() at Microsoft.SqlServer.DataMining.Office.Excel.XLClientUIManager.DisplayAdvancedQueryBuilder(Object sender, WizardPageEventArgs e) at Microsoft.SqlServer.DataMining.Office.Excel.Wizard.WizardPageBase.OnWizardPageAdvanced(WizardPageEventArgs e) at Microsoft.SqlServer.DataMining.Office.Excel.Wizard.WizardForm.btnAdvanced_Click(Object sender, EventArgs e) at System.Windows.Forms.Control.OnClick(EventArgs e) at System.Windows.Forms.Button.OnClick(EventArgs e) at System.Windows.Forms.Button.WndProc(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.OnMessage(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.WndProc(Message& m) at System.Windows.Forms.NativeWindow.Callback(IntPtr hWnd, Int32 msg, IntPtr wparam, IntPtr lparam)
************** JIT Debugging ************** To enable just-in-time (JIT) debugging, the .config file for this application or computer (machine.config) must have the jitDebugging value set in the system.windows.forms section. The application must also be compiled with debugging enabled.
When JIT debugging is enabled, any unhandled exception will be sent to the JIT debugger registered on the computer rather than be handled by this dialog box.
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 have a framework 2.0 winforms application that uses the data mining viewer controls. I upgraded the project to visual studio 2008 and compiled it under framework 2.0. It compiles fine, but when the form with the TimeSeriesViewer control loads, the application throws the following exception:
System.Reflection.TargetInvocationException was unhandled by user code Message="Unable to get the window handle for the 'AxChartSpace' control. Windowless ActiveX controls are not supported." Source="System.Windows.Forms" StackTrace: at System.Windows.Forms.AxHost.InPlaceActivate() at System.Windows.Forms.AxHost.TransitionUpTo(Int32 state) at System.Windows.Forms.AxHost.CreateHandle() at System.Windows.Forms.Control.CreateControl(Boolean fIgnoreVisible) at System.Windows.Forms.Control.CreateControl(Boolean fIgnoreVisible) at System.Windows.Forms.AxHost.EndInit() at Microsoft.AnalysisServices.Viewers.TimeSeriesViewer.InitializeComponent() at Microsoft.AnalysisServices.Viewers.TimeSeriesViewer..ctor() at RMS2.UI.DecisionSupport.ShowModel(String modelName, Int32 tabIndex) in C:UsersDougDocumentsRmsIIRmsIIRMS2.UIDecisionSupport.cs:line 72 at RMS2.UI.DecisionSupport.DecisionSupport_Load(Object sender, EventArgs e) in C:UsersDougDocumentsRmsIIRmsIIRMS2.UIDecisionSupport.cs:line 42 at System.Windows.Forms.Form.OnLoad(EventArgs e) at System.Windows.Forms.Form.OnCreateControl() at System.Windows.Forms.Control.CreateControl(Boolean fIgnoreVisible) at System.Windows.Forms.Control.CreateControl() at System.Windows.Forms.Control.WmShowWindow(Message& m) at System.Windows.Forms.Control.WndProc(Message& m) at System.Windows.Forms.ScrollableControl.WndProc(Message& m) at System.Windows.Forms.ContainerControl.WndProc(Message& m) at System.Windows.Forms.Form.WmShowWindow(Message& m) at System.Windows.Forms.Form.WndProc(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.OnMessage(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.WndProc(Message& m) at System.Windows.Forms.NativeWindow.Callback(IntPtr hWnd, Int32 msg, IntPtr wparam, IntPtr lparam) InnerException: System.AccessViolationException Message="Attempted to read or write protected memory. This is often an indication that other memory is corrupt." Source="System.Windows.Forms" StackTrace: at System.Windows.Forms.UnsafeNativeMethods.IOleObject.DoVerb(Int32 iVerb, IntPtr lpmsg, IOleClientSite pActiveSite, Int32 lindex, IntPtr hwndParent, COMRECT lprcPosRect) at System.Windows.Forms.AxHost.DoVerb(Int32 verb) at System.Windows.Forms.AxHost.InPlaceActivate() InnerException:
The control is being added programatically, as in the wiinforms samples. Can anyone suggest a workaround? Thank you in advance.
How to right choose key column in"Mining Structure" for Microsoft Analysis Services?
I have table:
"Incoming goods"
Create table Income ( ID int not null identity(1, 1) [Date] datetime not null, GoodID int not null, PriceDeliver decimal(18, 2) not null, PriceSalse decimal(18, 2) not null, CONSTRAINT PK_ Income PRIMARY KEY CLUSTERED (ID), CONSTRAINT FK_IncomeGood foreign key (GoodID) references dbo.Goods ( ID ) )
I'm trying to build a relationship(regression) between “Price Sale” from Good and “Price Deliver”.But I do not know what column better choose as “key column”: ID or GoodID ?
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;
I am wondering is there any way to select only a portion of a data set to train the mining model? In this case, I mean we dont need to split the dataset in advance, what I want to do is being able to select any random portion of a selected dataset to train a mining model. Any advices?
I am looking forward to hearing from you and thanks a lot in advance for your advices and help.
hi I am new at MSSQL 2000 DBA thing. and trying to learn more about analysis service/data warehouse/data mining. so is any expert out there can Recommend some good books or web link article to read? Thanks
