data mining - analysis
The 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]
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]
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]
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]
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]
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]
PREMIER Bankcard Accelerates Business Intelligence With Windows-Based HP Integrity Servers and HP StorageWorks XP Technology
White Paper PREMIER Bankcard needed to handle huge growth in its data warehouse and improve performance of the data mining and reporting so critical to everyday decision-making. PREMIER worked with... [01 Sep 2009]
How Business Intelligence Should Work: The Connection Between Strategic, Analytical, and Operational Initiatives
White Paper Business Intelligence (BI) has been around for a long time, and over the years has taken on many different forms - reporting, OLAP, ad hoc, performance management, predictive analytics, data mining, etc. [01 Sep 2009]
Adaptive Segmentation: HP Neoview Platform Breaks New Ground in Mixed Workload Management
White Paper No other system provides this type of automated functionality capable of supporting a mix of thousands of users requiring fast response times for simple queries while simultaneously handling massive data... [30 Aug 2009]
Data Mining in the Real World: Experiences, Challenges, and Recommendations
White Paper Data mining is used regularly in a variety of industries and is continuing to gain in both popularity and acceptance. However, applying data mining methods to complex... [29 Aug 2009]
Data Mining for Intelligence Led Policing
White Paper The benefit of data mining for police seems tremendous, yet only a few limited applications are documented. This paper starts with describing the implementation problems of police data... [29 Aug 2009]
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