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ASP.NET 2.0 Free Training : Setting Application-Level Caching
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ASP.NET 2.0 Free Training : Setting Application-Level Caching
http://www.exforsys.com/content/view/1646/354/
ASP.NET 2.0 Free Training : Setting Application-Level Caching - In this tutorial you will learn how to set application-level caching in ASP.NET 2.0. To Configure and Use Parameter-Level Caching and also the steps involved to cache based on parameters.
ASP.NET > Tips and Tutorials
Oct 10, 2006
Exforsys Inc
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Other links at ASP.NET > Tips and Tutorials
There are different ways in which you can exchange the data in ASP.NET 1.x like Query strings, Server.Transfer method, Response.Redirect method and session variables. All these techniques have their own merits and demerits like browser imposed character limit when passing parameters using Query Strings and indiscriminate usage of session variables can prove costly in terms of load on server and eventually impacts the performance of server.
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In this tutorial you will learn adding sorting and paging in a GridView Control, Implement Two Column Sorting, Create Code for Custom Sorting, Editing the GridView control data, Deleting Displayed Records, Inserting Records and Using Templates
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This tutorial is very quick and easy to learn. It is essential to know this information when developing a site in ASP.NET.
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Calendar is one of the Rich Web Controls available in ASP.NET.
Calendar is used to display a one-month calendar. Users can use this control to view dates or select a specific day, week, or month. The following table lists some properties of the Calendar control:
Calendar is used to display a one-month calendar. Users can use this control to view dates or select a specific day, week, or month. The following table lists some properties of the Calendar control:
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Problem Statement
In any datasets each attribute has its own range. For instance an age attribute can have a maximum range up several hundred. On the contrary, monthly salary attribute will always have range in thousands. Abnormal minimum and maximum values (noise) can also lead to misinterpretation of data. Data Normalization uses different techniques to narrow down values to a certain range. Min-Max and z-Score are most common normalization techniques.
In any datasets each attribute has its own range. For instance an age attribute can have a maximum range up several hundred. On the contrary, monthly salary attribute will always have range in thousands. Abnormal minimum and maximum values (noise) can also lead to misinterpretation of data. Data Normalization uses different techniques to narrow down values to a certain range. Min-Max and z-Score are most common normalization techniques.
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