


Hey gang,Is there a way that I can query an Estimate Model to return attributes for the highest estimate? For example..table tCampaign:CampaignID, Product, CostPerMail, QuantityOfMail, Offer, Revenue (predict)How do I get the best combination of CostPerMail, QuantityOfMail and Offer to return ...
How do I limit (or partition) a sequence clustering by year? I would like to do it within the sequence clustering mining structure instead of partition at the OLAP cube/...
can XML act only as a middleman between the actual database and the application program?...
Hi, all here, I have a question about nested table use. I dont quite clearly see through why the nested table is very much necessary? I mean if we need information from both the current case table and nested table for mining models, we can just join both tables? Thanks a lot in advance for ...
Hi, all here, Why the lift chart for my mining models evaluation does not have a random guess model line there? As normal, there should be lines like trained models, ideal model, and random guess model? Why is that? What did I miss? Could any experts here shed me any light on that. Thanks a lot ...
Hi, all here,Thank you very much for your kind attention.Just noticed that the sum of node_distribution.support value is not equal to the value of node_support for a specific node in my Microsoft Clustering Algorithm Model? If so, how can I correctly count the distribution of each attribute ...
Hi, all here,Thank you very much for your kind attention.Just noticed that the sum of node_distribution.support value is not equal to the value of node_support for a specific node in my Microsoft Clustering Algorithm Model? If so, how can I correctly count the distribution of each attribute ...
Hi, all here,I am encounterting a question with attribute_value in my mining models. That is an attribute_value appeared several times within my mining models with different support and probability for a specific node? (in my Clustering mining model) Why is that? Really need guidance for that. ...
Hi, all, Why I got different results for the same attribute value displayed in my mining model? Any suggestions on what I may have missed for that? In my case, the mining structure is with case table which is the fact table, within this mining structure, I dragged other attributes from its ...
HiI have data in the following formatCustid Age Product101 25 ProdA101 25 ProdB102 25 ProdA103 50 ProdC104 55 ProdA105 50 ProdCwhen I am using Clustering algorithm with 2 clusters and trying to perdict the product column the results are coming as belowCustid Age Product PerdictProd101 25 ProdA ...
Hi, all experts here,Thank you very much for your kind attention.I am having a question about the node_distribution.PRABABILITY. Some of the attribute values though have a small number of support for the specific node, but why it has a big node_distribution.probability even greater than 1? How ...
Hi, all here,Thank you very much for your kind attention.I dont think we should sample any nested tables for data mining model training? Since I think any nested tables are bound to the case table. Therefore whenever we sample the case table, the nested tables are like any other input ...
Hi, all here, I got one problem with Microsoft decisition tree model . The problem is: In my decision tree model viewer, the decision tree only has one level (the all level). What is the problem tho? How can I solve this problem? Very appreciated for any prompt answer to it. Cheers. ...
Hi,I am working with several tables, but for now I just mention 4 : one is fact table (named Usage), and 3 dimensional tables Periods, Products, and Regions. The fact table contains references to the dimensional tables. Table Periods contain two other columns month and year.I created a cube ...
Hi, all experts here,Thanks for your kind attention.I am wondering why the loading of mining model for MTS failed in my case, the model has successfully processed and deployed? But when I clicked on the model viewer, the error message saying: failed to load model. Why is that? Is it because too ...
