Data Mining Application:
Analyzing data for business needs.

Data mining, business intelligence, or data analytics represent ways to examine and analyze data. The goal is to find patterns in time, determine how attributes interact, find clusters of items, and identify items that are purchased together.
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Data mining involves several skills:

1. Database tools including queries and reports to retrieve data.
2. OLAP or cube browsing to interactively examine subtotals.
3. Basic statistics and probability to understand hypothesis tests and significance.
4. Data analysis tools to evaluate dimensions, identify clusters, determine associations, and evaluate time series data.

This textbook contains several powerful features to make it easy to learn to build data mining applications. Many of the features are unique to this book.

• A focus on using data mining tools to analyze business data and interpreting the results.
• Six major database applications, to illustrate the tools and provide data for exercises.
• Hundreds of realistic exercises to learn and practice skills used in the real world.
• Insructions on configuring common data mining tools in SQL Server.
• Instructions on configuring common open source tools to analyze data with an emphasis on understanding the results.

Check out the details:

• Chapter 5: Cluster Analysis
• Table of Contents
• Glossary of Database Terms
• Links to Database Resources on the Web