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 ???
View 2 RepliesHi, all here,
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 followed the tutorial posted at [URL] ...
Everything was ok until the last step where I had to process the mining structure which resulted in a warning
"Informational (Data mining): Decision Trees found no splits for model, Tbl Decision Tree Example."
What does this error mean? How do I resolve it? Also, I only see the first level in the Mining Model Viewer, I don't see the levels 2 and 3.
Hi, all experts here,
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.
I am looking forward to hearing from you.
Thanks a lot.
With best regards,
Yours sincerely,
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?
Having successfully created :
- 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.
Hi all,
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.
Any tip will be greatly appreciated.
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?
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?
Many thanks,
S Rajput
Hi,
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 have installed the excel DM addin and am trying to work through the tutorials -
When I run the 'Analyze Key Influencers' tool against the sample data through a remote AS server I get:
The task was not able to detect any key influencers for the 'Purchased Bike' column. The values of 'Purchased Bike' seem unrelated to values of other columns.
however when I run it against a local AS server I get the expected results.
I can see no differences in settings or setup between the AS instances I am trying to use - perhaps a permissions issue?
Thank you
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?
Thanks.
Joe.
Is it possible to group many time series into clusters by using the clustering algorithm of the SQL server 2005. The same question applies to "association rules" technique. Any examples?
We have a set of cubes and dimensions, and we're experimenting with data mining against the cubes (primarily for forecasting applications). We have a custom time dimension (which we call calendar), not generated by the BIStudio wizard. The dimension has year/month/day/hour/... attributes. But when I try to add this Calendar dimension to the mining structure as a nested table using BI studio, it only shows the Year attribute, not the others. Other dimensions seem to show all the attributes.
Is there something we've done wrong in defining our time dimension? What determines which attributes show up as available for selection in BI studio?
I am about to prepare a paper concerning the field of real-time data mining. Real-time here means the process of incremental training of an existing model as soon as the data arrives.
There is a number of papers introducing algorithms for incremental association analysis, incremental clustering etc. Stream mining Ãs a field which is closely related to that. The main reason for the implementation of incremental algorithms is a) the large amount of data to be mined and b) the high rate of new data that is evolving every day.
Using classical batch mining algorithms, models that are outdated for some reason, would have to be re-trained, which could be very time consuming for billions of records. And once the training is completed, the training would have to be restarted once again because a bulk of new data has been arrived.
The question that I would like to discuss now is: For what real world applications would it be a meaningful or even essential to use real-time training of models?
Two main reasons could determine the answer to that question:
You just want to incorporate new data into existing models in order to increase the prediction accuracy of your model or
Your underlying data is subject to more or less massive changes (also refered to as concept drift) and you want to adapt your mining model continuously to that reality.
I'm looking for some examples or ideas where one of these cases apply and it would be a good idea to have incremental mining algorithms involved.
I'm looking forward to inspiring some discussion on that issue.
I probably posted my question in the wrong forum so please check here:
http://forums.microsoft.com/TechNet/ShowPost.aspx?PostID=3009605&SiteID=17
thanks
Hi, all here,
Thank you very much for your kind attention.
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.
Thank you very much in advance for any help.
With best regards,
Yours sincerely,
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;
[Code] ....
Hi, all experts here,
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.
With best regards,
Yours sincerely,
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
Could I ask how to spit the data into training and validation sets when doing data mining?
Thanks
I'm stucked in a problem and I thought if you would be so kind as to helping me to resolve it.
I'm implementing a clustering algorithm plugin for text mining. I've already read the tutorials and sample codes provided by the MSDN Library.
Well... My problem is: I can't go through the data when the Predict method is called. I've read that this method implements the "core" of the custom algorithms. Here is a small snippet of my code for you to understand my doubt:
STDMETHODIMP ALGORITHM::Predict(/* [in] */ IDMContextServices* in_pContext,/* [in] */ DM_PREDICTION_FLAGS in_Flags,/* [in] */ IDMAttributeGroup* in_pPredAttGroup,/* [in] */ DM_CaseID in_CaseID, /* [in] */ ULONG in_ulCaseValues,/* [in] */ DM_ATTRIBUTE_VALUE* in_rgValues,/* [in] */ ULONG in_ulMaxPredictions,/* [in] */ ULONG in_ulMaxStates, /* [out] */ DM_ATTRIBUTE_STAT** io_prgPredictions,/* [out] */ ULONG* out_pulPredictions) {
for(UINT i=0;i<in_ulCaseValues;i++) {
DM_ATTRIBUTE_VALUE& dmattributevalue = in_rgValues;
ULONG iAttribute = dmattributevalue.Attribute;
if (iAttribute == DM_UNSPECIFIED)
continue;
double dblValue = ::DblContinuous(dmattributevalue.Value);
char buffer[129];
sprintf(buffer,"%f ",dblValue);
RENAN_Log::log(buffer);
}
return S_OK;
}
As you can see, I'm going through in_rgValues to get its values, but i'm only obtaining the first register of the table on the database. I need to roll over a kind of resultset so I could access all the registers I need. Is there any way to do so ?
I expected Predict() received a matrix containing all my data, but the only thing I noticed that could represent the data is that in_rgValues vector. So I can go through this vector, but it holds only the first register of the table in the database (that's what's being saved on my log). I need all of the registers in order to pre-process the data and implement my clustering algorithm.
Well... That's it... I would be very pleased if you could help me.
I have very little experience with programming and data mining, but I am working on a project where I need to take data from one spreadsheet and place it in another. Since it is hard to describe what I would like to do, I will provide an example:
SPREADSHEET 1
Column 1, Column 2
100, ?
101, ?
102, ?
103, ?
SPREADSHEET 2
Column 1, Column 2
102, 202
100, 200
103, 203
101, 201
In this example, the data in Column 1 is always tied to the data in Column 2 (i.e., 100 in Column 1 means 200 in Column 2, etc.) However, the data for Column 2 is only available in SPREADSHEET 2; moreover, the data is not in the same order in both spreadsheets.
My question is how can I create some sort of program where I can transfer the data from SPREADSHEET 2 into SPREADSHEET 1?
Still new to DM and SSIS...anyand all help is greatly appreciated!
In SSIS they say that you can use the Analysis Services Processing Task to process a mining model/mining structure, however, I do not see where you can give it a relational table to work off of. I know that I can use a data flow to do this but I wanted to go a different route if I could to process my models as I don't really necessarily need the data flow as what I am tring to do is pretty simple.
That brings me to a more general question, what is the best method for training your models using SSIS? I am building a new model everytime the package runs using some variables and the DDL task, running a query on it, and destroying it at the end of the package but I am having logistical problems training it outside of the data flow. I tried using the DM Query task but it requires that you output a result set and I am not sure if I can use it to create and process models.
I would think that they would just give you a DMX task similar to the SQL task but that does not seem to be the case. Also, when I browse the AS objects via the processing task I can only see the mining structures and not the mining models.
Am I just missing something here?
Cheers,
Dan Meyers
Hello,
Can anyone spot what i am missing here ? The problem is that i am getting a null object for e.TextData in the t_OnEvent(object sender, TraceEventArgs e) function below. I am trying to get event- notifications while processing the data mining structure.
thanks
anil
//-------------code below-------------------------------------
using Microsoft.AnalysisServices;
private void ProcessMiningStructure(MiningStructure mStruct)
{
Trace t;
TraceEvent e;
t = server.Traces.Add();
e = t.Events.Add(TraceEventClass.ProgressReportCurrent);
e.Columns.Add(TraceColumn.TextData);
t.OnEvent += new TraceEventHandler(t_OnEvent);
t.Update();
try
{
t.Start();
mStruct.Process(ProcessType.ProcessFull);
t.Stop();
}
catch (Exception ex)
{
}
t.Drop();
}
//------------------------------------------------------
void t_OnEvent(object sender, TraceEventArgs e)
{
SetText(e.TextData);
}
//------------------------------------------------------
Hi my friends,
I do have a problem with results of clustering algorithm with my categorical data.
In reality I have a big table with one's and zero's and I try to cluster according to 60 attributes.
I tries to cluster to two categories many times but I get only one cluster. What do you suggest. Which values can I change to the algorithm? Is there anything particular for categorical data ?
Thank for your help in advance.
Manolis
Thank you very much for your previous answers conserning clustering algorithm.
I change a bit my data and now I can get two and three clusters as I wish.
But now I have a different question. I wish to keep my Structure and Model for further trials with different algorithm values, like cardinality. I tried the following
I selected in excel Data Mining and then the option cluster button.
Then in the cluster wizard I chose analysis service data source and I reform the query as I need adding only at the end
where "STAFF_YES" = 1. Then I choose the needed columns and target value. Finally I select browse model, enable drill through only and I finish the wizard and get some results, rather good. But i need to try again with different parameters.
I tried Business intelligent Studio to check my Analysis service. The structure were here but when I changed any parameter and I tried to reprocess I got the following messages
Processing Mining Structure 'try Structure_1' completed successfully.
Start time: 5/8/2007 4:55:08 μμ; End time: 5/8/2007 4:55:08 μμ; Duration: 0:00:00
Processing Dimension 'try Structure_1 ~MC-__RowIndex' completed successfully.
Start time: 5/8/2007 4:55:08 μμ; End time: 5/8/2007 4:55:08 μμ; Duration: 0:00:00
Processing Dimension Attribute '(All)' completed successfully.
Start time: 5/8/2007 4:55:08 μμ; End time: 5/8/2007 4:55:08 μμ; Duration: 0:00:00
Processing Dimension Attribute 'EPI_CELL_SINO_GOOD' completed successfully.
Start time: 5/8/2007 4:55:08 μμ; End time: 5/8/2007 4:55:08 μμ; Duration: 0:00:00
Processing Dimension Attribute 'EPI_CELL_SINO_LOOSE' completed successfully.
Start time: 5/8/2007 4:55:08 μμ; End time: 5/8/2007 4:55:08 μμ; Duration: 0:00:00
Errors and Warnings from Response
Internal error: The operation terminated unsuccessfully.
Internal error: The operation terminated unsuccessfully.
Internal error: An unexpected error occurred (file 'pcprocbinding.cpp', line 6645, function 'PCDBProcBinding:electOrChangeCartridge').
Errors in the OLAP storage engine: An error occurred while the dimension, with the ID of 'try Structure_1 ~MC-__RowIndex', Name of 'try Structure_1 ~MC-__RowIndex' was being processed.
Errors in the OLAP storage engine: An error occurred while the 'EPI_CELL_SINO_LOOSE' attribute of the 'try Structure_1 ~MC-__RowIndex' dimension from the 'DMAddinsDB2' database was being processed.
Internal error: The operation terminated unsuccessfully.
Internal error: The operation terminated unsuccessfully.
Internal error: An unexpected error occurred (file 'pcprocbinding.cpp', line 6645, function 'PCDBProcBinding:electOrChangeCartridge').
Errors in the OLAP storage engine: An error occurred while the dimension, with the ID of 'try Structure_1 ~MC-__RowIndex', Name of 'try Structure_1 ~MC-__RowIndex' was being processed.
Errors in the OLAP storage engine: An error occurred while the 'EPI_CELL_SINO_GOOD' attribute of the 'try Structure_1 ~MC-__RowIndex' dimension from the 'DMAddinsDB2' database was being processed.
And no change to the structure take place.
Please help me if you can
Thank you in advnce
Best regards.
Manolis
Dear friends,
I encounter a serious problem.
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?
Please help me.
Best regards,
Manolis
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.
Thank you any way.
Best regards,
Manolis
PhD student
Hi ,all here,
Thank you very much for your kind attention.
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.
Any guidance? thank you very much.
With best regards,
Yours sincerely,
Hi,
I've come along way learning about databases and SQL. I can write basic queries now. Even some with subQueries. What I need to learn, is how to approach data mining. Can someone suggest the best path to follow, to learn how to accomplish data mining from a very large database?
I don't just need to produce reports of acquired data. I need to go in and grab data and look for patterns against known result sets. I hope that makes sense.
Thanks,
Milfredo
Hello all,
I was handed a new project and I'm not quite sure how to do it or even what technology to use. Now, I think that SQL Server's Analysis Services could help (or even do the entire thing) but I'm not sure. So, basically, I'm looking for recommendations and ressources on the subject.
Here's my scenario:
We have a Data-Warehouse that stores information about the production of our company. Around this fact table, we have multiple dimensions including one about the origin of the production (who) and a time dimension (when).
We are buiding cubes and linking Excel to them for future analysis. Everything is done. Now, the all-mighty supervisors would like to have some predictions built-in to the system for the rest of the year based on the previous years. Basically, we would be adding production values for every possible time (the step is every hour, so the sum of the production comming from a certain origin is set as the fact and linked to a time dimension row for that hour).
As you can see, it's not very difficult and it seems to me like Analysis Services might already have that functionnality although I couldn't find it (seems like predictions can only be made by looking at relations found by the data mining algorithms and these predictions need to be made by a human because they are not really registered as "new" facts).
So, in short, I'd like to have a tool calculate future productions for the rest of the year and set a new column (or dimension) to a certain value indicating that this fact row has been predicted and is not certain. Of course, the refreshing of data would not create duplicate rows for predictions, newer predictions (probably based on more facts) would replace the last equivalent prediction.
I hope that's clear.
What do you recommend I use? Is it a case where I will need to build my own separate program (that updates the data-warehouse) or is it possible to achieve this using data mining?
Thanks a lot,
Skip.