Choosing an Algorithm by Task

To help you select an algorithm for use with a specific task, the following table provides suggestions for the types of tasks for which each algorithm is traditionally used. +

Examples of tasks

Microsoft algorithms to use

Predicting a discrete attribute:

Flag the customers in a prospective buyers list as good or poor prospects.

Calculate the probability that a server will fail within the next 6 months.

Categorize patient outcomes and explore related factors.

Microsoft Decision Trees Algorithm

Microsoft Naive Bayes Algorithm

Microsoft Clustering Algorithm

Predicting a continuous attribute:

Forecast next year's sales.

Predict site visitors given past historical and seasonal trends.

Generate a risk score given demographics.

Microsoft Decision Trees Algorithm

Microsoft Time Series Algorithm

Predicting a sequence:

Perform clickstream analysis of a company's Web site.

Analyze the factors leading to server failure.

Capture and analyze sequences of activities during outpatient visits, to formulate best practices around common activities.

Finding groups of common items in transactions:

Use market basket analysis to determine product placement.

Suggest additional products to a customer for purchase.

Analyze survey data from visitors to an event, to find which activities or booths were correlated, to plan future activities.

Microsoft Association Algorithm

Finding groups of similar items:

Create patient risk profiles groups based on attributes such as demographics and behaviors.

Analyze users by browsing and buying patterns.

Identify servers that have similar usage characteristics.

Microsoft Clustering Algorithm

Related Content

The following table provides links to learning resources for each of the data mining algorithms that are provided in SQL Server Data Mining: +

Related Tasks

Topic

Description

Determine the algorithm used by a data mining model

Create a Custom Plug-In Algorithm

Explore a model using an algorithm-specific viewer

View the content of a model using a generic table format

Browse a Model Using the Microsoft Generic Content Tree Viewer

Learn about how to set up your data and use algorithms to create models

Mining Structures (Analysis Services - Data Mining)