The document discusses data mining techniques in SQL Server Analysis Services (SSAS). It defines data mining as using artificial intelligence, machine learning, statistics, and databases to discover patterns in large datasets. The data mining process involves business understanding, data preparation, modeling, evaluation, and deployment. Common algorithms covered are decision trees, clustering, time series analysis, and association rules. Creating a mining structure in SSAS involves selecting a data source, specifying columns and data types, and deploying mining models.