Where I am trying to find out
the associations between various service activities so that when a customer
buys a service activity we can recommend him/her others
Hi After building a model in BI, I want to view the chart of model in mining model viewer, in the chart tab I can just see one prediction value that means for my model do prediction for some time slice and in prediction steps I can specify how many steps, I want to show this chart In mining model viewer tab we can see the chart of prediction also decision tree and the chart is for showing all of value prediction, and with choosing prediction steps we can specify that show just one value prediction or two or several values. But sometime I can see just one value in chart and sometime I can see several values in chart, This difference is for my data or no? And also for viewing historic prediction I should choice €śshow historic prediction€? and before that I should set Two parameters: Historic_ model _count and historic _model _count, But I can€™t see historic prediction (sometime this happens) Please help me.
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'
Is it possible to use two algorithms together?I need to write prediction Query so that its should both models having clustereing algorithm and timeseries algorithm.
for example
I am having student information.I ve to predict performance of students for certain period.The students should be classified by their types like rich kids,poorkids..like that.I need to predict the performance of the rich kids??
Dear friends, I'm reading Wiley's Data mining with SQL Server 2005... There are MANY things I can't understand about MovieClick example (Chapter 3). I hope someone is going to help me with this troubles...
WARNING (1): I'm a dummy both with sql server and data mining. WARNING (2): My English is not good at all.
Just two questions for now:
1) When I create the model to predict the number of bedrooms for homeowners, the book says to check BEDROOMS as Predictable... question: is it also an INPUT for the model, or PREDICTABLE only?
2) I'd like to keep this model (number of bedrooms.......) and make a prediction query.
- Query builder - select case table -> Homeowners - Drag the Customer ID column from the Homeowners table and drop it on the grid - Drag the BEDROOMS column from the mining model and drop it on the grid. - On the last row: Source=PredictionFunction, Field=PredictProbability - Drag the BEDROOMS column from the mining model and drop it into Criteria/Argument - Add (i.e.) 'Two or Three' to the field Criteria/Argument
I execute the query and I obtain many rows in a table with the following colums: CustomerID, BEDROOMS and Expression: WHAT DOES THIS MEAN? WHICH INFO DO I GET FROM THOSE NUMBERS? WHAT CAN I LEARN FROM THEM?
I am doing this right now this way: 1) I do the DMX prediction query where I get the PredictNodeId(predict_var), my query is like this:
SELECT PredictNodeId(predict_var), model_1.predict_var, t.var_1, t.var_2 FROM model_1 PREDICTION JOIN OPENQUERY([DATA_SOURCE_1], 'SELECT var_1, var_2 FROM table_1') AS t ON model_1.var_1 = t.var_1 AND model_1.var_2 = t.var_2 2)I do the DMX query to get the node_description from the model.content iterating each row from the result of my prediction query, this query is like this:
SELECT node_description FROM model_1.content WHERE node_name = 'node_name_var'
In this query node_name_var = PredictNodeId(predict_var) from my prediction query. What I want to know if there is a way to merge Query 1 and Query 2 so I can get the node_description in the same query qhere I get the PredictNodeId.
Can i use a CASE statement in a prediction query. the following query is throwing me an error
SELECT CASE [Sales Forecast Time Series].[City Code] when 'LA' then 'Los Angeles' WHEN 'CA' THEN 'California' ELSE 'OTHERS' END, PredictTimeSeries([Sales Forecast Time Series].[Sales Value],5) From [Sales Forecast Time Series]
ERROR: Parser: The statement dialect could not be resolved due to ambiguity.
Also
Is it possible to discretize the Sales Value column using a the CASE statement, the output column of PredictTimeSeries function.
Is there a link that can give me a comprehensive info on what can be achieved and what cant be using DMX queries
hi,I am a novice SSAS Programmer.I need a prediction Query in time series algorithm, so that it should predict for a particular date.I dont know how to use where condition in a prediction Query.
Can anyone show me how to run a prediction query and save the results to a sql table without using the T-SQL OPENQUERY tip here http://www.sqlserverdatamining.com/DMCommunity/TipsNTricks/3914.aspx? I am looking for an example in vb.net that I can use in a SSIS script task.
I have a question about what is possible with a prediction query against a nested table. Say I have a basic customer-product case and nested table mining model like so:
Mining Model DT_CustProd ( [Id] , [Gender] , [Age] [Products] Predict ( [ProductName] , [Quantity] ) ) Using Microsoft_Decision_Trees
I can write a query to find the probability of product (and quantity) A like so:
SELECT (select * from Predict(Products,INCLUDE_STATISTICS) where ProductName = 'A' )
FROM DT_CustProd
NATURAL PREDICTION JOIN
(SELECT 'M' AS [Gender], 27 AS [AGE] ) AS t
What if I know that the query customer (M,27) in question has purchased product B, how can I use that in the prediction join to predict product A? The fact that product B was purchased might influence the prediction, right?
I have a question about writing a prediction query against a clustering model that has the same column added more than once.
Per Jamie, I can accomplish some crude weighting by adding a column to my model multiple times. See this post for an explnation... Now that I have that worked out, I was wondering how my DM query would look? If I have Input_A1, Input_A2 , & Input_A3 all being source from the same column in my structure do I have to reference all three when writing my prediction query?
I believe saving prediction query results to relational tables is possible (the BI studio does it!). I am not clear on how to do this w/o the BI studio, which means if I write a DMX query and want to store its output to a relational table, how do I do it?
Hi I have three questions about several topics. In this code: public string ConnectionString { get { return "Provider=MSOLAP.3;Data Source=localhost;Initial Catalog=Adventure Works DW"; } }
What is data source and initial catalog and what does this code do? And if I want to use other database how can change this code? (This code is for data mining viewer client project) And in this code: SqlConnection cn = new SqlConnection("Data Source=localhost;Initial Catalog=AdventureWorks;Integrated Security=True"); SqlCommand cm = new SqlCommand("Select AddressID,AddressLine1 from Person.Address", cn); SqlDataAdapter da = new SqlDataAdapter(); da.SelectCommand = cm; DataTable dt = new DataTable(); da.Fill(dt); this.comboBox1.DisplayMember = "AddressLine1"; this.comboBox1.ValueMember = "AddressID"; this.comboBox1.DataSource = dt;
what is comboBox1.DisplayMember and comboBox1.ValueMember ,and what is difference between those ? and other question: in adventure works dw project for data mining predicting ,in forecasting model ,if I want to show the result of this query in the combobox in c# how can I show that? SELECT PredictTimeSeries(amount) From [Forecasting] And again in this code ,it has a result which has two culomns ,on of them is for amount and other column is for time ,in sql I can save this result in exsiting table or neew table with wizard,but I want to Do this work in c#,that€™s mean with a adomdconnection I connect to forecasting model and write this query then in a datagridviwe ,Iwant to see the values of prediction in adventure works dw database. Other question: In €śdataminingviwerclient€? project I change this code and you can see it,for this code I have a form that give servername and catlogname in that and then with clcking on a button I want to show the chart of model in a child form ,but I can€™t.
public Form1 form1 = new Form1(); public string m_ServerName; public string m_CatalogName; public Form3() { m_ServerName = ""; m_CatalogName = ""; InitializeComponent(); }
public string ConnectionString { get { return "Provider=MSOLAP.3;Data Source=localhost;Initial Catalog=Adventure Works DW"; } }
private void ShowModel(Panel panel, string modelName) { AdomdConnection conn = new AdomdConnection(); try { MiningModelViewerControl viewer = null; MiningModel model = null; MiningService service = null;
// Clear any existing controls from the panel if (panel.HasChildren) panel.Controls.Clear();
// Connect to server conn.ConnectionString = ConnectionString; conn.Open();
// Determine the viewer type based on the model service and // instantiate the correct viewer model = conn.MiningModels[modelName]; service = conn.MiningServices[model.Algorithm]; if (service.ViewerType == "Microsoft_TimeSeries_Viewer") viewer = new TimeSeriesViewer(); else throw new System.Exception("Custom Viewers not supported");
// Set up and load the viewer viewer.ConnectionString = ConnectionString; viewer.MiningModelName = modelName; viewer.Dock = DockStyle.Fill; panel.Controls.Add(viewer); viewer.LoadViewerData(null); } catch (System.Exception ex) { MessageBox.Show(ex.Message, "Model Load"); } conn.Close(); when I run this code ,I have one error that say: the €ś object not found parametr name:index Please see this code and answer my question. If you just can answer one of my qestions ,please say. Thanks a lot for your answers.With best wishes for you
Well thanx a lot because i've got the reply. And now i want to ask about prediction data mining using DTS. Should i make some code to perform in my vb application? and how to join my table case with the tree result?
Hi , I am a novice Data Mining Programmer. I am using Time series algorithm for forecasting. We are Quite concerned about the accuracy of Prediction output. For Example Our Data is like this
If I write my Prediction Query to predict for 100 th time step.Its giving me out put like
Date Perf 03/01/2015 47.000000115
We are not sure about the accuracy of the values. Is it possible to use trend information as input to my model and make my prediction based on that. I don€™t know how to do that? Can anyone help?
I am using time series agorithm.I need standard deviation in %. I am using SELECT StudID, PREDICTSTDEV([Perf]) FROM [Stud_Model].This one is giving me the standard deviation like this
I want to add a column to a table that contains the predicted value according to a decision tree mining model. (I know that this is possible). But now I would like that when a new row is added to this table, and every column except the prediction column is filled in manually, can ms sql server add the predicted value automatically for this row? I know it is possible to execute a Singleton query for this kind of single prediction, but I would like to integrate this in my data table, because for now my steps would be: - Create the table with one prediction column - Add the known values of all columns for one row - Use singleton query in Mining model prediction tab to know the predicted value - Fill in the predicted value manually in my table.
i have mining model with 20 columns; 10 columns are for data (A1,A2...A10) and 10 columns are for prediction (B1,B2...B10) data is not in nest table, just one table using Association Rules A1 text A2 text ... A10 text
B1 text prediction only B2 text prediction only ... B10 text prediction only
i have rules as form Ai-->Bj.
i want to make a statement to prediction Bj values when i have Ai values, with Ai get from some textbox on screen, Can you show me some Examples.
I get to page 116 in "Data Mining with SQL Server 2005", but when I try to deploy my model, I get these errors:
Error 1 Error (Data mining): The 'Movie Bayes' mining model cannot have more than one predictable attribute. 0 0
Error 2 Errors related to feature availability and configuration: The 'Multiple prediction targets' feature is not included in the 'Standard Edition' SKU. 0 0
Hi All, I was wondering if there was a way to specify a range when training a model to predict continuous variables. For instance, the predicted variable can only have a range of 1 - 10.
I have tree models trained and now how do I perform predictions? I've read that i can use ADO in my vb language so could anyone give me some code lines about prediction using ADO and Vb language? and how to view the prediction in my vb application?
I have a market basket model using associations. It generated several dozen itemsets. However when I attempt to run a singleton prediction like this:
select (Predict(Orderproduct3q,INCLUDE_STATISTICS,10)) as [Recommendation]
From
[Case All]
NATURAL PREDICTION JOIN
(SELECT (SELECT '16407' AS [Pname])) AS t1
the resulting predictions don't take the itemsets into account. Instead, the predictions consist of the ranked products in the training set, ordered by frequency. This appears to happen regardless of the precise query specified within the "natural prediction join".
What's going on here and how do I generate a singleton prediction which makes use of the itemsets?
If your prediction join is to a SQL datasource, you can easily write a SQL query which returns a nested table like:
SELECT Predict([Subcategories],2) as [Subcategories] FROM [SubcategoryAssociations] NATURAL PREDICTION JOIN (SELECT (SELECT 'Road Bikes' AS Subcategory UNION SELECT 'Jerseys' AS Subcategory ) AS Subcategories ) AS t
What about if your datasource is a cube? Is there some special MDX syntax similar to the SQL syntax above? Or do you have to utilize the SHAPE/APPEND syntax as follows?
SELECT t.*, $Cluster as ClusterName FROM [MyModel] PREDICTION JOIN SHAPE { select [Measures].[My Measure] on 0, [My Dimension].[My Attribute].[My Attribute].Members on 1 from MyCube } APPEND ( { select [Measures].[Another Measure] on 0, NON EMPTY [My Dimension].[My Attribute].[My Attribute].Members *[Product].[Product].[Product].Members on 1 from MyCube } RELATE [[My Dimension]].[My Attribute]].[My Attribute]].[MEMBER_CAPTION]]] TO [[My Dimension]].[My Attribute]].[My Attribute]].[MEMBER_CAPTION]]] ) AS [My Nested Table] AS t ON [MyModel].[Product].[Product] = t.[My Nested Table].[[Product]].[Product]].[Product]].[MEMBER_CAPTION]]]
Hi I made an model based on MS time series and want to see some result in Mining Model Viewer (SSAS 2005) The chart displayed under tab "Charts" is as expected, but when i increase "predictions steps" onlsy the shadowed part of chart becomes bigger, but the prediction curve behaves unchanged...
I am trying to use the time series algorithm to predict responses to promotion mailings for subscription renewals. The problem i am having is that response is largely influenced by the number of mailings that are sent out. Can anyone give me any ideas on how i can structure the dataset so that it would take into account how many promotions were sent out? any help would be greatly appreciated.
Is there a way to display the actual predicted value for an output attribute for a particular model. For example, say I am trying to predict if a particular customer is going to take advantage of a promotion (0=no, 1=yes) and I use neural networks. I know that I can use "Predict" to give me the prediction "yes" or "no" for each customer. However, the neural network actually spits out a number as a result. For example, a 0.997 would be interpreted as a "yes" for life insurance promotion. I do not want the probability that the prediction is correct. I want the actual output for the network.
The reason being is that I want to compute an error rate between the predicted value and the acutal value (root mean squared error or some other measure). Is there a way to compute this using the mining model prediction tab design view? I do not want to write the actual query as I teach a course in data mining using SQL Server and my students do not know DMX queries.
"Error: 8624, Severity: 16, State: 1 Internal Query Processor Error: The query processor could not produce a query plan. For more information, contact Customer Support Services."
I have traced this to an insert statement that executes as part of a stored procedure.
INSERT INTO ledger (journal__id, account__id,account_recv_info__id,amount)
There is also an auto-increment column called id. There are FK contraints on all of the columns ending in "__id". I have found that if I remove the contraint on account__id the procedure will execute without error. None of the other constraints seem to make a difference. Of course I don't want to remove this key because it is important to the database integrity and should not be causing problems, but apparently it confuses the optimizer.
Also, the strange thing is that I can get the procedure to execute without error when I run it directly through management studio, but I receive the error when executing from .NET code or anything using ODBC (Access).