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    <p>Data mining, also known as knowledge discovery, is the process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools like SQL Server Analysis Services, predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. Input to learning mining algorithms is called <em>cases, samples, examples, instances, events, and observations.</em></p> <ul> <li><a href="/questions/tagged/machine-learning" class="post-tag" title="show questions tagged &#39;machine-learning&#39;" rel="tag">machine-learning</a>, <a href="/questions/tagged/artificial-intelligence" class="post-tag" title="show questions tagged &#39;artificial-intelligence&#39;" rel="tag">artificial-intelligence</a> and <a href="/questions/tagged/statistics" class="post-tag" title="show questions tagged &#39;statistics&#39;" rel="tag">statistics</a> provide many techniques used in data mining, in combination with <a href="/questions/tagged/database" class="post-tag" title="show questions tagged &#39;database&#39;" rel="tag">database</a> technologies for efficiency. Please use the appropriate tag (e.g. <a href="/questions/tagged/machine-learning" class="post-tag" title="show questions tagged &#39;machine-learning&#39;" rel="tag">machine-learning</a>) to refer to the raw methods.</li> <li><p>Cluster analysis (<a href="/questions/tagged/dataclustering" class="post-tag" title="show questions tagged &#39;dataclustering&#39;" rel="tag">dataclustering</a>) and outlier detection (<a href="/questions/tagged/outliers" class="post-tag" title="show questions tagged &#39;outliers&#39;" rel="tag">outliers</a>) are two of the main challenges from data mining.</p></li> <li><p><a href="http://en.wikipedia.org/wiki/Data_mining" rel="nofollow">Wiki Links</a></p></li> <li><a href="http://www.laits.utexas.edu/~norman/BUS.FOR/course.mat/Alex/" rel="nofollow">Data Mining Introduction</a></li> </ul>
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