How to use data mining feature of SQL Server 2008 with ASP.Net
如何使用ASP.Net的SQL Server 2008数据挖掘功能
2 个解决方案
#1
1
Take a look at SqlServerDataMining.com, a site run by Microsoft's SQL Server Data Mining team.
看看SqlServerDataMining.com,这是一个由Microsoft的SQL Server数据挖掘团队运行的站点。
#2
0
In a nutshell, you want to:
简而言之,您希望:
- Build cubes to model your data
- Build a prediction calculator (or whatever kind of calculator you're looking to use)
- Expose that via a web service
- Call the web service in your app
构建多维数据集以建模数据
建立一个预测计算器(或任何你想要使用的计算器)
通过Web服务公开它
在您的应用中调用Web服务
For example, if you want to model whether or not a customer is likely to abandon their shopping card, you would figure out what characteristics of a shopper you want to capture and analyze. You set up your cubes to model what characteristics are indicative of a soon-to-be-bailing-out shopper. During the shopping process, your web app would send the shopper's characteristics to the SSAS server, which would return back a guess about whether or not the shopper is going to abandon the cart. Then your web app can take proactive measures before they leave.
例如,如果您想模拟客户是否可能放弃购物卡,您就会想出要捕获和分析的购物者的特征。您可以设置立方体来模拟哪些特征表明即将出现的购物者。在购物过程中,您的网络应用程序会将购物者的特征发送到SSAS服务器,这会返回购物者是否要放弃购物车的猜测。然后,您的网络应用可以在离开之前采取主动措施。
All of the steps in here are kinda complicated - your best bet is probably to refine your question to focus on the areas you're responsible for.
这里的所有步骤都有点复杂 - 你最好的选择可能是改进你的问题,专注于你负责的领域。
#1
1
Take a look at SqlServerDataMining.com, a site run by Microsoft's SQL Server Data Mining team.
看看SqlServerDataMining.com,这是一个由Microsoft的SQL Server数据挖掘团队运行的站点。
#2
0
In a nutshell, you want to:
简而言之,您希望:
- Build cubes to model your data
- Build a prediction calculator (or whatever kind of calculator you're looking to use)
- Expose that via a web service
- Call the web service in your app
构建多维数据集以建模数据
建立一个预测计算器(或任何你想要使用的计算器)
通过Web服务公开它
在您的应用中调用Web服务
For example, if you want to model whether or not a customer is likely to abandon their shopping card, you would figure out what characteristics of a shopper you want to capture and analyze. You set up your cubes to model what characteristics are indicative of a soon-to-be-bailing-out shopper. During the shopping process, your web app would send the shopper's characteristics to the SSAS server, which would return back a guess about whether or not the shopper is going to abandon the cart. Then your web app can take proactive measures before they leave.
例如,如果您想模拟客户是否可能放弃购物卡,您就会想出要捕获和分析的购物者的特征。您可以设置立方体来模拟哪些特征表明即将出现的购物者。在购物过程中,您的网络应用程序会将购物者的特征发送到SSAS服务器,这会返回购物者是否要放弃购物车的猜测。然后,您的网络应用可以在离开之前采取主动措施。
All of the steps in here are kinda complicated - your best bet is probably to refine your question to focus on the areas you're responsible for.
这里的所有步骤都有点复杂 - 你最好的选择可能是改进你的问题,专注于你负责的领域。