data mining
RSS data miningThe Top 10 Secrets to Using Data Mining to Succeed at CRM
White Paper Companies that have successfully used data mining to boost their CRM efforts have a wealth of experience to share. This white paper provides 10 tips that your organization can benefit from if you're... [07 Oct 2009]
Performing a Data Mining Tool Evaluation
White Paper Data mining helps you make better decisions that result in better outcomes for your organization. This paper provides a checklist to help you evaluate data mining tools... [07 Oct 2009]
Hard Hat Myth: Myths and Pitfalls of Data Mining
White Paper It's critical to understand that data mining is a business process—a way of finding patterns in your data that provide insight you can use to conduct your business more effectively.... [07 Oct 2009]
Field-Tested Data Mining
White Paper Wanting a better return on those investments, they are now wondering whether to invest in data mining. Data mining is a process for sifting through lots of... [07 Oct 2009]
Demonstrate Accountability for Your Analytical Assets Throughout Your Organization
White Paper If you use data mining or rules-based models to make key decisions, you may need to explain the basis for these decisions to satisfy compliance for Sarbanes-Oxley, Basel II, and other regulations. This... [07 Oct 2009]
Software Firm Provides Real-Time Data Mining Solutions Using SQL Server 2005
White Paper GSTAT provides business intelligence and data mining solutions, including real-time Next Best Offers (NBO) to customers across a range of industries. GSTAT developed its GSTAT Xeligence... [02 Oct 2009]
UGA Digital Sharpens Its Display Offerings With Embedded Database
White Paper However, UGA Digital needed to provide data mining capabilities to collect data on user behavior. UGA Digital turned to Oracle Berkeley DB embedded database to provide the capability to... [01 Oct 2009]
SAS BI Server Shaved Reporting Time From Two Days to 10 Minutes, Freeing Hallmark Staff to Do More In-Depth Analysis
White Paper Hallmark deployed SAS software that allowed power users to create predictive models and use data mining techniques, while less technical users can use SAS BI to easily query information without going... [19 Sep 2009]
Predictive Analysis With SQL Server 2008
White Paper Microsoft SQL Server 2008 offers predictive analysis through a complete and intuitive set of data mining tools. Although the data mining functionality provided with SQL... [16 Sep 2009]
Mining Frequent Cross-Graph Quasi-Cliques
White Paper For example, in bioinformatics, jointly mining multiple gene expression datasets obtained by different labs or during various biological processes may overcome the heavy noise in the data. Moreover, by... [16 Sep 2009]
SAS Geology, Geophysics and Reservoir Engineering (GGRE) Analytics for the Oil and Gas Industry: Analytic Insights to Mitigate Subsurface Uncertainty and Unconstrained Risk
White Paper There are point-and-click interfaces with data mining, text mining and visualization tools to encapsulate Geophysics, Geology and Reservoir Engineering (GGRE) data... [16 Sep 2009]
Predictive Analytics for the Retail Industry
White Paper The Data Mining Add-Ins for Office 2007 can be used to solve multiple business problems. The examples used in this paper describe the retail environment, but these methods are not exclusive to retail... [16 Sep 2009]
Data Mining in the Insurance Industry: Solving Business Problems Using SAS Enterprise Miner Software
White Paper Data mining can be defined as the process of selecting, exploring and modeling large amounts of data to uncover previously unknown patterns. In the insurance industry,... [02 Sep 2009]
Integrating Your Favorite SAS Program Into a SAS Data Mining Workbench
White Paper This white paper addresses how a data mining workbench can access raw data and interactively create a data mining process flow. These... [02 Sep 2009]
Text Mining for Safety: Develop Your Untapped Reserves of Unstructured Data for Health, Safety and Environmental Improvements
White Paper Proven technology provided by SAS can help one take prompt action by easing the burden of capturing incident data, improving the quality of data, and speeding analysis and management notification. To... [02 Sep 2009]
