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In the ices-playlist.xml file, you can identify log files and information (metadata) about the audio stream, the input type (in this case, a playlist), and each instance of the stream. You can have multiple instances to send the audio stream to multiple servers or to the same server that will forward the stream under different names (mount points) or bitrates. A mount point in IceS2 is the part of the URL of a stream that identifies that particular stream uniquely on an Icecast server. The mount point name always begins with a slash (/). Step 1 contains examples of changes I made to a stream section of the ices-playlist.xml file. The steps that follow describe how to create a playlist, start the ices command, and check the log files. 1. Edit ices-playlist.xml file. Open your $HOME/myices/ices-playlist.xml file using any text editor. The following text takes you through parameters you should consider changing.

In the response to this offer, the other party declines the video media session by setting the port number to 0, and accepts the audio session by selecting the iLBC codec and returning a nonzero port number, as shown in Table 6.5. Further negotiation and changes to the media can be accomplished using a re-INVITE once the session is established, as described in the next section. This type of limited media negotiation capability is supported by SDP and, hence, in SIP. Currently work is underway to develop a successor to SDP,

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< xml version= 1.0 encoding= UTF-8 > <deployment name= Greeter xmlns= http://xml.apache.org/axis/wsdd/ xmlns:java= http://xml.apache.org/axis/wsdd/providers/java > <service name= Greeter provider= Handler > <parameter name= handlerClass value= org.jboss.net.axis.server.EJBProvider /> <parameter name= beanJndiName value= ejb/Greeter /> <parameter name= homeInterfaceName value= test.interfaces.GreeterHome /> <parameter name= allowedMethods value= * /> <requestFlow name= GreeterRequest > <handler type= java:org.jboss.net.axis.server.TransactionRequestHandler /> </requestFlow> <responseFlow name= GreeterResponse > <handler type= java:org.jboss.net.axis.server.SerialisationResponseHandler /> <handler type= java:org.jboss.net.axis.server.TransactionResponseHandler /> </responseFlow> </service> </deployment>

Data mining is also being used across different functional areas within organizations For example, human resource departments are using data mining to model the employee experience life cycle, and these models are used to enhance employee retention Within planning departments, data mining is being utilized to identify new business locations, as well as to support merger and acquisition activities Customer support is using data mining to initially classify incoming service requests from the web for triage purposes Data mining is being increasingly used by data mining experts as well as subject-matter specialists Methods such as visual data mining are used to see trends in the data without the need for data mining training For example, production workers are able to visually analyze data generated from a manufacturing production and quickly take care of any issues identi ed Data mining techniques are also being embedded into other applications.

He wants to remove the original copy of test1 now, too. But, instead of just removing it outright, he will remove it interactively:

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For instance, SPAM ltering makes extensive use of data mining approaches, such as decision trees, to partition incoming emails into folders Models are continuously built from historical data where emails have been classi ed as SPAM and not SPAM These models are then incorporated into the email system, where incoming emails are automatically predicted, and those determined to be SPAM are set aside The following, while not comprehensive, illustrates the breadth of applications to which data mining has been applied The use of data mining for sales and marketing activities is common to many industries, and its use is generally described In addition, data mining is used to solve many problems in a diverse range of industries This chapter outlines the use of data mining in the following industries: nance, insurance, retail, telecommunications, manufacturing, entertainment, government, pharmaceuticals, and healthcare.

Figure 2.2: Parsing of HTML files that contain JavaScript. The execution process of an HTML file that contains the path of an external file is slightly different. When a user requests an HTML page that contains a JavaScript external file, the HTML document is returned to the browser. Whenever the code specifying the address of an external file is encountered, the request for the external file is sent to the server. The server then returns the script file, and the code from the external file is appended to the HTML document. Thereafter, the HTML file is executed in the same manner as in the case of embedded JavaScript code. 24

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