SQLServerCentral.com Articles tagged Data Mininghttp://www.sqlservercentral.com/Articles tagged Data Mining posted on SQLServerCentral.comen-us360sjones@sqlservercentral.com (Steve Jones)Creating a Data Mining Reporting Services Report - SQL School VideoIn this new SQL School video, MVP Brian Knight shows us how to get started with data mining and Reporting Services retrieving data from an Analysis Services cube.http://www.sqlservercentral.com/articles/Video/64190/2008/09/04http://www.sqlservercentral.com/articles/Video/64190/Reading Lift Charts - SQL School VideoThis video covers lift charts, an advanced data mining feature in SQL Server 2008. MVP Brian Knight walks through a data mining example that tests a model with a lift chart.http://www.sqlservercentral.com/articles/Video/63812/2008/08/21http://www.sqlservercentral.com/articles/Video/63812/Introduction to SQL Server 2005 Data MiningGet an overview of typical data mining problems and the tools and models that are available in SQL Server 2005 for solving these problems.http://www.sqlservercentral.com/redirect/articles/63187/2008/05/30http://www.sqlservercentral.com/redirect/articles/63187/Mine Data from Text FilesThis tip describes how to use text files as data sources for Data Mininghttp://www.sqlservercentral.com/redirect/articles/62551/2008/04/02http://www.sqlservercentral.com/redirect/articles/62551/How Much Training Data Is Enough?This tip shows you how you can apply the cross-validation feature in the upcoming SQL Server 2008 release to estimate if the training set size is sufficient for a given model.http://www.sqlservercentral.com/redirect/articles/62301/2008/03/05http://www.sqlservercentral.com/redirect/articles/62301/Add Custom Data Mining Algorithms to SQL Server 2005Get a high-level overview of the benefits of the extensibility framework in SQL Server 2005 Analysis Services that allows independent software developers to easily integrate new data mining algorithms into the product.http://www.sqlservercentral.com/redirect/articles/61740/2007/12/31http://www.sqlservercentral.com/redirect/articles/61740/Under the Hood: How Dependency Probability is Computed by Naïve BayesThis tip provides insight into the inner workings of the Microsoft Naive Bayes algorithm, showing how the algorithm computes the score used to filter out correlations.http://www.sqlservercentral.com/redirect/articles/61566/2007/11/30http://www.sqlservercentral.com/redirect/articles/61566/Generating lift reports using Reporting Services - Part 1This tip explores a DMX extension introduced in SQL Server 2005 SP2 that can be used to render lift reports directly in Reporting Services.http://www.sqlservercentral.com/redirect/articles/3014/2007/05/24http://www.sqlservercentral.com/redirect/articles/3014/Data Validation Sample This video sample shows how the clustering algorithm can be used to automatically validate data.http://www.sqlservercentral.com/redirect/articles/2668/2006/11/08http://www.sqlservercentral.com/redirect/articles/2668/Executing predictions from the SQL Server relational engine This tip shows you how to execute and use the results of prediction queries in multiple ways within the SQL Server relational database engine.http://www.sqlservercentral.com/redirect/articles/2616/2006/10/10http://www.sqlservercentral.com/redirect/articles/2616/Mining in-memory dataThis article explains how desktop applications can use SQL Server 2005 Data Mining to analyze in-memory data.http://www.sqlservercentral.com/redirect/articles/2615/2006/10/03http://www.sqlservercentral.com/redirect/articles/2615/Building Data Mining Solutions with OLE DB for DM and XML for AnalysisThis article, published in the June 2005 issue of SIGMOD Record, provides an overview of SQL Server Data Mining from a standards perspective.http://www.sqlservercentral.com/redirect/articles/2416/2006/05/24http://www.sqlservercentral.com/redirect/articles/2416/Data Mining Reloaded The two main functions of data mining are classification and prediction (or forecasting). Data mining helps you make sense of those countless gigabytes of raw data stored in databases by finding important patterns and rules present in the data or derived from it. Analysts then use this knowledge to make predictions and recommendations about new or future data. The main business applications of data mining are learning who your customers are and what they need, understanding where the sales are coming from and what factors affect them, fashioning marketing strategies, and predicting future business indicators.http://www.sqlservercentral.com/redirect/articles/1757/2005/03/04http://www.sqlservercentral.com/redirect/articles/1757/Unearth the New Data Mining Features of Analysis Services 2005An article from Microsoft Journal looking at the new Mining features of SQL Server 2005. If you're interested in Analysis Services, this ias a good look (from a high level) at the next version.http://www.sqlservercentral.com/redirect/articles/1469/2004/08/19http://www.sqlservercentral.com/redirect/articles/1469/Comparison of Business Intelligence Strategies between SQL and OracleDinesh does a good write up on research he did investigating the BI market and doing a feature comparison between Oracle 9i and SQL 2000. Simple bullet point format, worth a look. http://www.sqlservercentral.com/articles/Miscellaneous/comparisonofbusinessintelligencestrategiesbetweens/993/2003/05/19http://www.sqlservercentral.com/articles/Miscellaneous/comparisonofbusinessintelligencestrategiesbetweens/993/The Data Mining Cluster Analysis AlgorithmProvides audience with information on cluster analysis algorithm. http://www.sqlservercentral.com/redirect/articles/200/2001/05/07http://www.sqlservercentral.com/redirect/articles/200/Analysis Services EnhancementsIn SQL Server 2000, Microsoft has closed the gap between its multidimensional database offering, OLAP Services, and the rest of the market place. http://www.sqlservercentral.com/articles/OLAP+Server/72/2001/04/22http://www.sqlservercentral.com/articles/OLAP+Server/72/