Is this book still the only book written for SQL2005's data mining? Does anyone know where I can find its errata? I have never seen so many editorial errors (typos, mislabeling, etc.) in other books. I am not worried about those obvious errors, but I am afraid that some errors may be so deceiving that when I find out, a lot of time will have been spent on misguided effort.
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
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.
I am currently working on my data mining project with the data from insurance industry. I am looking for more in-depth book or resource about the data mining application in insurance industry.
Have any experts here ever found any great resouce about that? Please shed any light on that. It is much more appreciated.
Thank you very much in advance for your help and I am looking forward to hearing from you.
I am trying to use a new microsoft add-in for office 2007. I installed the 180 day trial version of SQL Server 2005 and according to the instructions it was suppose to be very easy to connect the add in to SQL. I am receiving an error message which I cannot find a resolution to using the readme file and wonder if you can help. Here is the url to the readme file and a screenshot with a summary of the add in.
ERROR MESSAGE Unable to connect to server 'localhost'. Please make sure user 'ARTIMUSArt McCarty' has at least read permission to some database on the server.
DETAILS ON TH ADDIN The SQL Server 2005 Data Mining Add-ins for Office 2007 allow you to uncover hidden patterns and relationships in your data and then put them to work to enhance the quality of your analysis.
The package you downloaded allows you to install the following add-ins:
Table Analysis Tools for Excel With a couple of mouse clicks you can detect and analyze the key influential factors for values in your data, highlight values that don't fit with the rest of the data. More
Data Mining Client for Excel Go through the full data mining model development lifecycle within Excel by using your spreadsheet data, or by using external data accessible through your Analysis Services database. More
Data Mining Templates for Visio Render and share your mining models as Visio drawings that you can annotate. More Thanks for your help. Art
I already have data mining experience with different software, but my company is now migrating to SQL Server 2005 and since it include a data mining module, I would like to learn how to use it properly (Analysis Services, DMX language DMX, €¦).
Is there companies that offers formation in data mining for SQL Server 2005 ?
I am just starting to learn how to use data mining with SQL server 2005. I have some general questions which I hope someone out there can help me with.
Each month I have approx. 100.000 customers who buy a product.
I want to contact 10.000 of these with a letter for cross-selling some additional products.
Currently I choose these 10.000 randomly from the 100.000 customers. I now want to use SQL server 2005 data mining to choose these 10.000 better, to receive a better response rate. How do I transfer this knowledge to the 100.000 (potential cross-selling customers)
I understand that it could be set up in SQL server like the following:
case table: customer_id, gender, age, city, etc.
nested table: customer_id, product
Is this the way it should be approached and is there a special model/algorithm for this purpose?
after i installed sql server 2005 DM add-ins, i tried using it with office 2007 so i choose (start---->all programs----->microsoft sql 2005 dm add-ins---->getting started) so the getting started wizzard was opened, i selected from it (use an existing instance of microsoft sql server 2005 analysis services that i adminster) because i already had a version of it installed on my computer. then i tried to connect to analysis services by selecting 'server name'=local host, an error appeared which is "unable to discover meta data on the server 'local host' . user noha needs to be adminstrator of the server to run the configuration tool". how can i be the adminstrator of the server?????????.........plz reply me soon,thanks in advance
I am trying to use a new Excel microsoft add-in using SQL server 2005. I installed the 180 day trial version of SQL Server 2005 on my local machine and according to the instructions it was suppose to be very easy to connect the excel add in to SQL. I am receiving an error message which I cannot find a resolution to using the readme file and wonder if you can help.
ERROR MESSAGE Unable to connect to server 'localhost'. Please make sure user 'ARTIMUS' has at least read permission to some database on the server.
Could please any of you give me some advices for if there are tutorials and demos avaiable which cover all the SQL Server 2005 data mining built-in algorithms?
That will be great to hear from any of you shortly. Thanks a lot in advance.
managed plug-in framework that's available for download here: http://www.microsoft.com/downloads/details.aspx?familyid=DF0BA5AA-B4BD-4705-AA0A-B477BA72A9CB&displaylang=en#DMAPI.
This package includes the source code for a sample plug-in algorithm written in C#.
in this source code all .cs files are modified for clustering algorithm
if my plugin algorithm is of association or classification type then what modifications are requried in source code???
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?
We are currently have SQLS ERVER 2000 . We are planning to upgrade to SQL SERVER 2005 Next month. I believe DTSPkgs have changed significantly in 2005.. I have not used SQLS ERVER 2005 a whole lot yet. Can you pl recommend me aa GOOD Book that I can read, to get a GOOD understanding of SQL SERVER 2005.
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 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 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 looking for an useful sql server 2005 performance tuning book. i have been searching for a real nice book as i m going to start my job from next month in a financial domain with one of the requirement as sql server 2005 performance tuning.so i m looking forward a book which can help me doing well at my workplace. Any suggestions and links appreciated in advance .
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?
A rather dumb question but I've installed an evaluation copy of SQL 2005 on my machine and a colleague would like the Analysis Services Data Mining capability on his machine (without the eval SQL Server).
Is there a license associated with such an installation when we buy 2005 or does it fall under client components which can be installed on any number of users machines?
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?
Hello, I would love to know where people are discussing the book Microsoft SQL Server 2005 Integration Services book by Kirk Hasleden.
I'm on page 41 and I'm getting an error with the example in the "SELECT "2004" FROM Sales.vSalesPersonSalesByFiscalYears" part because there is not a table called Sales.vSalesPersonSalesByFiscalYears in the AdventureWorks database.