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Provide useful link text. Screen readers read hyperlinked text aloud to enable users to choose links. Therefore, hyperlinked text should describe the link. Avoid adding hyperlinks to text such as Click here, because users with a screen reader will not be able to distinguish it from other links. Instead, provide the name of the link destination with the hyperlink, as in Instructions for contacting Contoso headquarters. Define access keys for button controls by setting the Accesskey property. You can use access keys for web controls just like you would for a Windows Forms application. When you set the AccessKey property for a control, the user can hold down the Alt key and press the specified letter to immediately move the cursor to that control. The standard method of indicating a shortcut key is to underline a letter in the control. The next guideline describes how to provide shortcut keys for TextBox controls. Use Label controls to define access keys for text boxes. TextBox controls do not have descriptions that can be easily read by screen readers. Therefore, you should associate a descriptive Label control with a TextBox control and use the Label control to define the TextBox control s shortcut key. To associate the Label with another control, define both the AccessKey and AssociatedControlID properties. Also, underline the access key in the label s text by using the underline HTML element (<u>). Users can then access the specified TextBox control by selecting Alt+<AccessKey>.



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Missing data empty values, nonexistent values, and uncollected data can also be a problem for effective mining Methods for handling missing data are similar to those for handling outliers: do nothing, filter the rows containing missing data, ignore the column with missing data, and so on You should also check to see whether there is any pattern in outliers and missing data such as specific groups of cases that typically contain them For predictive models, you need to see how well the models perform the predictions To evaluate predictive models before you implement them, you need to split your data into a training set and a test set The data mining algorithms learn the patterns on the training sets You can then see how the models perform by letting them predict values of target variables on the test set.





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<asp:Label AccessKey="N" AssociatedControlID="TextBox1" ID="Label1" runat="server" Text="<u>N</u>ame:"> </asp:Label>   <asp:TextBox ID="TextBox1" runat="server" />

Use the Panel control to create subdivisions in a form, and define the Panel.groupingText property with a description of the controls in that panel.

Because you already know the actual values of the target variables, you can measure the performance of the predictions The key to properly preparing the training set and the test set is to statistically split the data randomly You should not create any pattern as you split the data You can use the SSIS Row Sampling and Percentage Sampling Transformations to get a random split of the data In addition, you can use the Transact-SQL (T-SQL) SELECT TABLESAMPLE clause to randomly select a specific percentage of the data However, this clause works on pages, not on rows, so it is appropriate only for large tables In SSAS 2008, this splitting task is easier than ever to perform You do not have to create the training and the test set in advance.

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NET application to convert Excel XLS and XLSX documents to PDF documents. The Excel to ... Syncfusion Excel to Pdf conversion library for Windows Forms.

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ASP.NET uses the GroupingText property to create <fieldset> and <legend> HTML elements, which can make forms easier for users to navigate. For example, you might define separate Panel controls to collect a user s shipping, billing, and credit card information on a checkout page. The following HTML demonstrates how ASP.NET renders the Panel.GroupingText property as a <legend> element.

You can partition the data while you are creating the mining structure by using the Data Mining Wizard, you can use the Data Mining Designer to modify the structure to partition data, or you can partition data programmatically by using Analysis Management Objects (AMO) or XML data definition language (DDL) After you perform the data split, you need to verify that it is random To do this, you can check the first four moments (mean, standard deviation, skewness, and kurtosis) of continuous variables The mean value identifies the center of the distribution of values; standard deviation measures the spread of the distribution Skewness describes asymmetry in probability distribution; it shows if a distribution is skewed to one side for example, if the distribution is concentrated on one side and has a long tail on the other side.

<form method="post" action="Default.aspx" id="form1"> <div id="Panel1" style="height:50px;width:125px;"> <fieldset> <legend> Shipping Information </legend> <input name="TextBox2" type="text" id="TextBox2" /> </fieldset> </div> <div id="Panel2" style="height:50px;width:125px;"> <fieldset> <legend> Billing Information </legend> <input name="TextBox1" type="text" id="TextBox1" /> </fieldset> </div> </form>

specify meaningful error messages in the Text and Errormessage properties of validator controls. Although the default asterisk (*) is sufficient to identify input controls that need to be completed for some users, it is not useful to users with screen readers. Instead, provide descriptive error messages, such as You must provide your email address.

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