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@@ -31,11 +31,11 @@ manager: craigg
 
      **Tip**: If you are not sure which mining structure contains the data you need, use the **Document Model** wizard to view the columns and basic statistics about the data.  
 
-     If you can’t find a mining structure, check the connection that you are currently using. You might need to open a connection to a different server.  
+     If you can't find a mining structure, check the connection that you are currently using. You might need to open a connection to a different server.  
 
 3.  In the **Select Mining Algorithm** dialog box, choose a mining algorithm to use in the new mining model.  
 
-     Notice that the dialog box provides a lot more options than you’ll see in the wizards. You can create a model using any algorithm supported on your [!INCLUDE[ssASnoversion](../includes/ssasnoversion-md.md)] server, provided your data is compatible.  
+     Notice that the dialog box provides a lot more options than you'll see in the wizards. You can create a model using any algorithm supported on your [!INCLUDE[ssASnoversion](../includes/ssasnoversion-md.md)] server, provided your data is compatible.  
 
 4.  We recommend that you also click the **Parameters** button to open the **Algorithm Parameters** dialog box and customize parameters on the algorithm. This option is the easiest way to create custom mining models.  
 
@@ -84,12 +84,12 @@ manager: craigg
 |Option|Comments|  
 |------------|--------------|  
 |**Select Structure or Model** dialog box|Choose en existing mining structure to use as the basis for building a new model.  The structure you pick must be located on the current connection. If not, change connections using the [Connect to Source Data &#40;Data Mining Client for Excel&#41;](connect-to-source-data-data-mining-client-for-excel.md) tool.|  
-|**Select Mining Algorithm** dialog Box|The list of data mining algorithms depends on which server you are connected to. [!INCLUDE[ssASnoversion](../includes/ssasnoversion-md.md)] provides different algorithms in the Standard and Enterprise editions. Your administrator also might have added custom algorithms.<br /><br /> If you can’t see any algorithms, verify that you are connected to an instance of [!INCLUDE[ssASnoversion](../includes/ssasnoversion-md.md)].|  
+|**Select Mining Algorithm** dialog Box|The list of data mining algorithms depends on which server you are connected to. [!INCLUDE[ssASnoversion](../includes/ssasnoversion-md.md)] provides different algorithms in the Standard and Enterprise editions. Your administrator also might have added custom algorithms.<br /><br /> If you can't see any algorithms, verify that you are connected to an instance of [!INCLUDE[ssASnoversion](../includes/ssasnoversion-md.md)].|  
 |**Algorithm Parameters** Dialog Box|In these settings, you can customize each algorithm using parameters specific to the analytical method. You can also set a seed to ensure that the results of the model can be reproduced across multiple training passes.<br /><br /> For more information, see [Algorithm Parameters &#40;SQL Server Data Mining Add-ins&#41;](algorithm-parameters-sql-server-data-mining-add-ins.md).|  
 |**Set Column Model Flags** Dialog Box|Modeling flags can improve your model by specifying how missing data is to be handled. For more information, see [Modeling Flags &#40;Data Mining&#41;](data-mining/modeling-flags-data-mining.md).|  
 
 ###  <a name="Bkmk_mdlcolumn"></a> Setting Column Usage  
- When you add a new model to an existing mining structure, you must specify how the model will use each of the columns of data in the mining structure. You’ll probably observe that the options in this wizard are far more detailed than the options on the mining structure. Why?  
+ When you add a new model to an existing mining structure, you must specify how the model will use each of the columns of data in the mining structure. You'll probably observe that the options in this wizard are far more detailed than the options on the mining structure. Why?  
 
  The reason is that when you create a model and a structure together using a wizard, many of the options that control how data is used by the algorithm are set automatically. However, when you add a new model to an existing, you need to see these options manually, and specify whether data should be used for analysis, whether the data type is correct, and so forth.  
 
@@ -103,7 +103,7 @@ manager: craigg
 
      Clustering models can be built with no predictable value, but other models generally require that you specify a single column for prediction.  
 
--   The composition of the data is incompatible with the algorithm you’ve chosen.  
+-   The composition of the data is incompatible with the algorithm you've chosen.  
 
      Some types of analysis require data that is carefully structured according to unique rules. Examples are forecasting models and association models. You can easily add new models of the same type, perhaps with customizations, but the data might not work with other algorithms.  
 
 
@@ -86,7 +86,7 @@ manager: craigg
 |MAXIMUM_OUTPUT_ATTRIBUTES|Microsoft Decision Trees Algorithm<br /><br /> Microsoft Linear Regression Algorithm<br /><br /> Microsoft Logistic Regression Algorithm<br /><br /> Microsoft Naïve Bayes Algorithm<br /><br /> Microsoft Neural Network Algorithm|Defines the number of output attributes that the algorithm can handle before it invokes feature selection. Set this value to 0 to turn off feature selection.<br /><br /> The default is 255.|  
 |MAXIMUM_SEQUENCE_STATES|Microsoft Sequence Clustering Algorithm|Specifies the maximum number of states that a sequence can have. Setting this value to a number greater than 100 may cause the algorithm to create a model that does not provide meaningful information.<br /><br /> The default is 64.|  
 |MAXIMUM_SERIES_VALUE|Microsoft Time Series Algorithm|Specifies the maximum value to use for predictions. This parameter is used, together with MINIMUM_SERIES_VALUE, to constrain the predictions to some expected range. For example, you can specify that the predicted sales quantity for any day should never exceed the number of products in inventory.|  
-|MAXIMUM_STATES|Microsoft Clustering Algorithm<br /><br /> Microsoft Neural Network Algorithm<br /><br /> Microsoft Sequence Clustering Algorithm|Specifies the maximum number of attribute states that the algorithm supports. If the number of states that an attribute has is larger than the maximum number of states, the algorithm uses the attribute’s most popular states and ignores the remaining states.<br /><br /> The default is 100.|  
+|MAXIMUM_STATES|Microsoft Clustering Algorithm<br /><br /> Microsoft Neural Network Algorithm<br /><br /> Microsoft Sequence Clustering Algorithm|Specifies the maximum number of attribute states that the algorithm supports. If the number of states that an attribute has is larger than the maximum number of states, the algorithm uses the attribute's most popular states and ignores the remaining states.<br /><br /> The default is 100.|  
 |MAXIMUM_SUPPORT|Microsoft Association Algorithm|Specifies the maximum number of cases in which an itemset can have support. If this value is less than 1, the value represents a percentage of the total cases. If this value is greater than 1, the value represents the absolute number of cases that can contain the itemset.<br /><br /> The default is 1.|  
 |MINIMUM_IMPORTANCE|Microsoft Association Algorithm|Specifies the importance threshold for association rules. Rules with importance less than this value are filtered out.|  
 |MINIMUM_ITEMSET_SIZE|Microsoft Association Algorithm|Specifies the minimum number of items that are allowed in an itemset.<br /><br /> The default is 1.|  
 
@@ -55,10 +55,10 @@ For more information about syntax and examples, see [Analysis Services PowerShel
 |Multidimensional instances and databases|Supported for local and remote administration.<br /><br /> Merge-partition requires a local connection.|  
 |Tabular instances and databases|Supported for local and remote administration.<br /><br /> For more information, see an August 2011 blog about [Manage Tabular Models Using PowerShell](http://go.microsoft.com/fwlink/?linkID=227685).|  
 |PowerPivot for SharePoint instances and databases|Limited support. You can use HTTP connections and the SQLAS provider to view instance and database information.<br /><br /> However, using the cmdlets is not supported. You must not use Analysis Services PowerShell to backup and restore in-memory PowerPivot database, nor should you add or remove roles, process data, or run arbitrary XMLA script.<br /><br /> For configuration purposes, PowerPivot for SharePoint has built-in PowerShell support that is provided separately. For more information, see [PowerShell Reference for PowerPivot for SharePoint](/sql/analysis-services/powershell/powershell-reference-for-power-pivot-for-sharepoint).|  
-|Native connections to local cubes<br /><br /> “Data Source=c:\backup\test.cub”|Not supported.|  
-|HTTP connections to BI semantic model (.bism) connection files in SharePoint<br /><br /> “Data Source=http://server/shared_docs/name.bism”|Not supported.|  
-|Embedded connections to PowerPivot databases<br /><br /> “Data Source=$Embedded$”|Not supported.|  
-|Local server context in Analysis Services stored procedures<br /><br /> “Data Source=*”|Not supported.|  
+|Native connections to local cubes<br /><br /> "Data Source=c:\backup\test.cub"|Not supported.|  
+|HTTP connections to BI semantic model (.bism) connection files in SharePoint<br /><br /> "Data Source=http://server/shared_docs/name.bism"|Not supported.|  
+|Embedded connections to PowerPivot databases<br /><br /> "Data Source=$Embedded$"|Not supported.|  
+|Local server context in Analysis Services stored procedures<br /><br /> "Data Source=*"|Not supported.|  
 
 ##  <a name="bkmk_auth"></a> Authentication Requirements and Security Considerations  
  When connecting to Analysis Services, you must make the connection using a Windows user identity. For the most part, a connection is made using Windows integrated security, where the identity of the current user sets the security context under which server operations are performed. However, additional authentication methods become available when you configure HTTP access to Analysis Services. This section explains how the type of connection determines which authentication options you can use.  
@@ -81,7 +81,7 @@ For more information about syntax and examples, see [Analysis Services PowerShel
 
 ```  
 PS SQLSERVER:\SQLAS\HTTP_DS> $cred = Get-credential adventureworks\dbadmin  
-PS SQLSERVER:\SQLAS\HTTP_DS> Invoke-ASCmd –Inputfile:”c:\discoverconnections.xmla” –Credential:$cred  
+PS SQLSERVER:\SQLAS\HTTP_DS> Invoke-ASCmd –Inputfile:"c:\discoverconnections.xmla" –Credential:$cred  
 ```  
 
  When using Basic authentication, you should always use HTTPS with SSL so that username and passwords are sent over an encrypted connection. For more information, see [Configure Secure Sockets Layer in IIS 7.0](http://go.microsoft.com/fwlink/?linkID=184299) and [Configure Basic Authentication (IIS 7)](http://go.microsoft.com/fwlink/?LinkId=230776).  
@@ -129,19 +129,19 @@ PS SQLSERVER:\SQLAS\Localhost\default> Remove-Variable -Name pwd
 -   Run the Import-module cmdlet to load SQLPS that includes all of the Analysis Services PowerShell functionality. If you cannot import the module, you can temporarily change the execution policy to unrestricted for the purpose of the loading the module. For more information, see [Import the SQLPS Module](../../2014/database-engine/import-the-sqlps-module.md).  
 
     ```  
-    Import-module “sqlps”  
+    Import-module "sqlps"  
     ```  
   
-     Alternatively, use `import-module “sqlps” –disablenamechecking` to suppress the warning about unapproved verb names.  
+     Alternatively, use `import-module "sqlps" –disablenamechecking` to suppress the warning about unapproved verb names.  
   
 -   To load just the task-specific Analysis Services cmdlets, without the Analysis Services provider or the Invoke-ASCmd cmdlet, you can load the SQLASCmdlets module as an independent operation.  
   
     ```  
-    Import-module “sqlascmdlets”  
+    Import-module "sqlascmdlets"  
     ```  
   
 ###  <a name="bkmk_remote"></a> Enable Remote Administration  
- Before you can use Analysis Services PowerShell with a remote Analysis Services instance, you must first enable remote administration and file sharing. The following error indicates a firewall configuration issue: “The RPC server is unavailable. (Exception from HRESULT: 0x800706BA)”.  
+ Before you can use Analysis Services PowerShell with a remote Analysis Services instance, you must first enable remote administration and file sharing. The following error indicates a firewall configuration issue: "The RPC server is unavailable. (Exception from HRESULT: 0x800706BA)".  
   
 1.  Verify that both local and remote computers have the [!INCLUDE[ssASCurrent](../includes/ssascurrent-md.md)] versions of the client and server tools.  
   
@@ -202,7 +202,7 @@ PS SQLSERVER\sqlas\localhost\default:> dir
   
 ```  
 PS SQLSERVER\sqlas:> cd http_ds  
-PS SQLSERVER\sqlas\http_ds:> $Url=Encode-SqlName “http://localhost/olap/msmdpump.dll”  
+PS SQLSERVER\sqlas\http_ds:> $Url=Encode-SqlName "http://localhost/olap/msmdpump.dll"  
 PS SQLSERVER\sqlas\http_ds:> cd $Url  
 PS SQLSERVER\sqlas\http_ds\http%3A%2F%2Flocalhost%2olap%2msmdpump%2Edll:> dir  
 ```  
 
@@ -72,7 +72,7 @@ manager: craigg
  **Favors**  
  In the second report, the target values that you compare are listed in two columns, with the related factors listed in order of descending confidence.  
 
--   The **blue** bar shows attributes contributing to the outcome, "No” (=did not purchase).  
+-   The **blue** bar shows attributes contributing to the outcome, "No" (=did not purchase).  
 
 -   The **red** bar shows attributes contributing to the outcome, "Yes" (=purchased a bike).  
 
 
@@ -74,7 +74,7 @@ manager: craigg
 
          Drillthrough is useful, for example, if you want to click on a particular itemset and see the source data.  
 
-    -   **Use temporary model**. Select this option if you don’t want the model saved on the server. Temporary models are deleted when you close Excel.  
+    -   **Use temporary model**. Select this option if you don't want the model saved on the server. Temporary models are deleted when you close Excel.  
 
 9. The wizard analyzes all possible combinations and creates a report that contains the itemsets and rules.