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The Na ve Bayes algorithm calculates probabilities for each possible state of the input attribute for every single state of predictable variable These probabilities are used to predict the target attribute based on the known input attributes of new cases The Na ve Bayes algorithm is quite simple; it builds the models quickly Therefore, it s suitable as a starting point in your prediction project The Na ve Bayes algorithm doesn t support continuous attributes The Neural Network algorithm is often associated with artificial intelligence You can use this algorithm for predictions as well Neural networks search for nonlinear functional dependencies by performing nonlinear transformations on the data in layers, from the input layer through hidden layers to the output layer Because of the multiple nonlinear transformations, neural networks are harder to interpret compared to Decision Trees.

Sequence Clustering searches for clusters based on a model, and not on similarity of cases as Clustering does The models are defined on sequences of events by using Markov chains Typical usage of Sequence Clustering would be an analysis of your company s website usage, although you can use this algorithm on any sequential data You can use the Time Series algorithm to forecast continuous variables Internally, the Time Series uses two different algorithms For short-term forecasting, the Auto-Regression Trees (ART) algorithm is used For long-term prediction, the Auto-Regressive Integrated Moving Average (ARIMA) algorithm is used You can mix the blend of algorithms used by using the mining model parameters..

Mail puts messages you receive into the inbox for the account to which they re sent, so this is where you ll usually want to check for them For example, the following statement returns the name of the sender of the first message in the inbox of the account named Main Mail:

17-14 The half-wave,

After a lengthy introduction, it s time to start with probably the most exciting part of this chapter creating mining models. By following the instructions, you can create predictive models. You re going to use Decision Trees, Na ve Bayes, and Neural Network algorithms on the same mining structure. The scenario for these models is based on the AdventureWorksDW2008 demo database. The fictitious Adventure Works company wants to boost bike sales by using a mailing campaign. The new potential

customers are in the ProspectiveBuyer table. But the company wants to limit sending leaflets only to those potential customers who are likely to buy bikes. The company wants to use existing data to find out which customers tend to buy bikes. This data is already joined together in the vTargetMail view. Therefore, the data preparation task is already finished, and you can start creating mining models following these steps:

get the sender of the first message in the mailbox "INBOX" of the account "Main Mail"

Antennas Many types of antennas exhibit resonant properties The simplest type of resonant antenna, and the only kind that will be mentioned here, is the center-fed, half-wavelength dipole antenna (Fig 17-14) The length Lft, in feet, for a dipole antenna at a frequency of fo, in megahertz, is given by the following formula:

In Business Intelligence Development Studio (BIDS), create a new Analysis Services project and solution Name the solution and the project TargetMail In Solution Explorer, right-click on the Data Sources folder and create a new data source Use the Native OLE DB\SQL Server Native Client 100 provider Connect to your SQL Server using Windows authentication and select the AdventureWorksDW2008 database Use the Inherit option for the impersonation information and keep the default name, Adventure Works DW2008, for the data source Right-click on the Data Source Views folder, and create a new data source view In the Data Source View Wizard, on the Select a Data Source page, select the data source you just created In the Select Tables and View pane, select only the vTargetMail view and ProspectiveBuyer table Keep the default name, Adventure Works DW2008, for the data source view.

You must refer to the inbox in capitals INBOX to make Mail understand which mailbox you re referring to