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??
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.
Just wonder is there any good idea for us to select attributes for training models? Both for non-supervised algorithms like Association Rules and Clustering etc. and supervised algorithms like decision tree etc.
It will be much interesting to hear from you for any best practices and popular methods of dealing with this issue.
I am looking forward to hearing from you and thanks for your advices.
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.
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
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'
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
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
Here is how you get the check digit for EAN-8, EAN-13 and EAN-14.CREATE FUNCTION dbo.fnGetEAN ( @EAN VARCHAR(13) ) RETURNS VARCHAR(14) AS BEGIN DECLARE@Index TINYINT, @Multiplier TINYINT, @Sum TINYINT
Here is how you get the check digit for ISBN.CREATE FUNCTION dbo.fnGetISBN ( @ISBN VARCHAR(11) ) RETURNS VARCHAR(13) AS BEGIN DECLARE@Index TINYINT, @Weight TINYINT, @Sum SMALLINT
SELECT@Index = LEN(@ISBN), @Weight = 2, @Sum = 0
WHILE @Index > 0 BEGIN IF SUBSTRING(@ISBN, @Index, 1) <> '-' SELECT@Sum = @Sum + @Weight * CAST(SUBSTRING(@ISBN, @Index, 1) AS TINYINT), @Weight = @Weight + 1
SET @Index = @Index - 1 END
RETURNCASE @Sum % 11 WHEN 1 THEN @ISBN + '-X' ELSE @ISBN + '-' + CONVERT(CHAR(1), 11 - (@Sum % 11)) END END E 12°55'05.25" N 56°04'39.16"
I am in the stage of design for an application that uses SQL server 2005. We intended to encrypt some sensitve data using the encryption features in SQL server 2005. we will use symmetric key encryption. The question here is which symmetric encryption algorithm has the best performance? how much does the key size affect the perfromance? the data to be encrypted will be some lines of text equal to a word document. any ideas?
We're currently preparing for a project for a bank client of ours where we would be using SQL Server 2008's data mining capabilities.
In the context of the out-of-the-box algorithms of SQL08 does the algorithms Logistics, Clustering and Logistic Regression includes Dynamic Logistics, Dynamic Clustering and Dynamic Logistic Regression?
I am reading DataMining Tutorial and right now I am at the Mining Algorithms section. I cannot understand any of the algorithms. For example take the following text... what a bunch of mouthful bla bla bla it is ....
"The Microsoft Decision Trees algorithm supports both classification and regression and it works well for predictive modeling. Using the algorithm, you can predict both discrete and continuous attributes. In building a model, the algorithm examines how each input attribute in the dataset affects the result of the predicted attribute, and then it uses the input attributes with the strongest relationship to create a series of splits, called nodes. As new nodes are added to the model, a tree structure begins to form. The top node of the tree describes the breakdown of the predicted attribute over the overall population. Each additional node is created based on the distribution of states of the predicted attribute as compared to the input attributes. If an input attribute is seen to cause the predicted attribute to favor one state over another, a new node is added to the model. The model continues to grow until none of the remaining attributes create a split that provides an improved prediction over the existing node. The model seeks to find a combination of attributes and their states that creates a disproportionate distribution of states in the predicted attribute, therefore allowing you to predict the outcome of the predicted attribute"
In the above text what is meant by discrete and continious attributes? what is regression? what is predicted attributes? what are input attributes? what is distribution of states?
Is there a source which explains these algorighms in a easier way ....
In the info for SQL Compact Edition 3.5 it states that one of the features is:
Support for newer and more secure encryption algorithms.
I can't seem to find details of exactly what these new, more secure algorithms are. It appears 3.1 used 128-bit RSA. Is this the same in 3.5, or has this changed?
I was just wondering on what algorithms was used in the different feature buttons in the Excel Add-In? For example, forecast, what algorithm was used in order for it to create the forcasting?
I am having a question about plug-in algorithms in SQL Server 2005. Since we are able to implement our own algorithms in SQL Server 2005 analysis services architecture, so my question is: what benefits can to a great extent be achieved? Like say, we are going to implement a plug-in algorithm, so what considerations should be concerned?
Thanks a lot in advance for any guidance and help.
I am having a more considertaion about Data Mining plug-in algorithms. When we say we are going to embed a uesr plug-in algorithm, so what is the context for that ? I mean in which case then we thing we need to embed a user plug-in algortihm? I know when we say we are going to embed a user costomermized plug-in algorithm, it means we want something more costomized. But what kind of customized features are generally concerned? Is it independant for different market sectors?
I dont think we can just try to embed a plug-in algorithm then compete it with avaialble algorithms to see which one is with better prediction accuracy?
Would please someone here give me some guidances about that?
I recently started using SQL 2000 Analysis Manager. I wanted to try data mining but was unable to get the Mining Model Wizard to load available techniques.
When I select a cube and "New Mining Model" I get the following error:
"Unable to get list of data mining algorithms."
"Object of provider is not capable of performing requested operation"
Hi, I have a table Projects. This table has ProjectID and Version as PK. The Version starts at 1 and everytime a project is changed, I save the project with the same ProjectID and increase the Version by 1.How can I create a query that get all Projects with the latest Version? Thx
I have a Properties table like thisPropertyID PropertyValue 1 Address 2 City 3 Stateetc.and a UserProfile table like thisUserID PropertyID PropertyValue1 1 123 Main Street1 2 Denveretc.How do I write a query that can populate a registration page with Address,City, State as labels and 123 Main Street, Denver, as TextBox text?
Hi,I have included here my webform here.i need some assistance here with code.my webform contains two parts.the 1st part is office info and the 2nd part is client info.i also have two table named office_info and client_info.1st part is populated from the table office_info as soon as the office name is chosen from the dropdownlist.in my scenario,when user selects officename from dropdownlist,then textboxes correspondingto address and email gets populated by the related data from table office_info.2nd part is client info.here there are 3 textboxes(for name,age,address) to collect the data from the client using the form.these data gets posted to new row in table client_info as soon as user clicks on the save button.Now my actual question starts here.when user selects the option from the dropdonwlist the office info displays,now when he fills the client info part and clicks the save button,i want all the data to go to the table client_info in such a way that all the data fromthe client info part plus the id of the office also go along with it.eg: when user clicks the save button.i want data to get submitted in table client_info in this way.(id,name,age,address,off_row_id) (1,jack,25,US,1) here off_row_id is the id from the below table.my table office_info is like this (id,off_name,address,email) eg(1,xyz,ny,xyz@xyz.com) well can anyone tell me how to write query to do insert,edit,update,delete query in this case using c# and sql?here is the scenario <%@ Page Language="C#" %><!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><script runat="server"></script><html xmlns="http://www.w3.org/1999/xhtml" ><head runat="server"> <title>Untitled Page</title></head><body> <form id="form1" runat="server"> <div> Office Info:<br /> <hr /> <br /> Office name: <asp:DropDownList ID="DropDownList1" runat="server" Width="63px"> <asp:ListItem>ABC</asp:ListItem> <asp:ListItem>XYZ</asp:ListItem> </asp:DropDownList><br /> <br /> Address: <asp:TextBox ID="TextBox1" runat="server"></asp:TextBox><br /> <br /> email: <asp:TextBox ID="TextBox2" runat="server"></asp:TextBox><br /> <br /> <hr /> </div> Client info:<br /> <br /> name: <asp:TextBox ID="TextBox3" runat="server"></asp:TextBox><br /> <br /> age: <asp:TextBox ID="TextBox4" runat="server"></asp:TextBox><br /> <br /> address:<asp:TextBox ID="TextBox5" runat="server"></asp:TextBox><br /> <br /> <br /> <hr /> <asp:Button ID="Button1" runat="server" Text="save" /> <asp:Button ID="Button2" runat="server" Text="cancel" /> </form></body></html> thanks.jack.
hello everyone. i want to know how asp.net works with sql database. can i have a link to the article where i can perform from basic to advance sql query using asp.net(C#)? (in context of vwd 2005 and sql express ) thanks. jack.
I have two table named tbl_Scale and tbl_NGTrDAMaster tbl_Scale(ScaleID,ScaleName,ScaleLB,ScaleUB,ScaleSI1,ScaleSI2,ScaleSI3) here scale id is prim key tbl_NGTrDAMaster(TrDaId,ScaleID,CityTypeID,DAAmount) no prim key and we get CityTypeID from xml databinder....... In my form thr is two drop down list one for scale name and another for city type id this is the data form tbl_NGTrDAMaster 17 1 1 555 18 3 1 777 19 3 1 999 8 1 1 777 5 5 1 34634 20 1 1 52352 27 1 1 6666 23 5 1 12412 12 2 1 235235 13 3 1 456456 14 5 1 1000000 15 4 1 60000 16 5 1 90 24 5 1 25123 25 5 1 13124 26 5 1 12412 but i am expecting only one combination of set..... like 1-1,1-2,1-3,1-4.......but if reenter 1-1 thn we have to restrict that.... please help me.... i am in big trouble......Thanx in advance If my qes is not clear for everyone... plz tell me.... i try my lebel best for understand my prob to u.....
