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 TitleDate AddedCompany
whitepaper Two-Stage Variable Clustering for Large Data Sets2008-02-15 SAS Institute
  In data mining, principal component analysis is a popular dimension reduction technique. It also provides a good remedy for the multicollinearity problem, but its interpretation of input space is not as good. To overcome the interpretation problem, principal components (cluster components) are obtained through variable clustering, which was implemented with PROC VARCLUS. The procedure uses oblique principal components analysis and binary iterative splits for variable clustering, and it provides non-orthogonal principal components. Even if this procedure sacrifices the orthogonal property among principal components, it provides good interpretable principal components and well-explained cluster structures of variables. However, the PROC VARCLUS implementation is inefficient to deal with high-dimensional data. This paper introduces the two-stage, variable clustering technique for large data sets.   
whitepaper Business Activity Monitoring: Process Control for the Enterprise2008-02-12 SL Corporation
  As the nature of real-time information has evolved, the requirements for analysis and visualization of data has become more complex and sophisticated. There are key lessons to be learned from the process control industry's decades of experience in dealing with real-time mission-critical data.

This white paper discusses how lessons can be taken from traditional process monitoring applications and applied in today's more complex multi-dimensional environments in order to deliver more effective and successful business activity monitoring solutions for the enterprise.

Tags: Data Quality, Data Visualization, Data Center, High Performance Computing, Knowledge and Data Management, Decision Support - DW Front End, Business Intelligence - Data Warehousing		   
whitepaper Intrusion Detection Using Data Mining Along Fuzzy Logic and Genetic Algorithms2008-02-01 Nagarjuna University
  Intrusion Detection is one of the important area of research. The work discussed in this paper has explored the possibility of integrating the fuzzy logic with Data Mining methods using Genetic Algorithms for intrusion detection. The reasons for introducing fuzzy logic is two fold, the first being the involvement of many quantitative features where there is no separation between normal operations and anomalies. Thus fuzzy association rules can be mined to find the abstract correlation among different security features. An architecture for Intrusion Detection methods has been proposed by using Data Mining algorithms to mine fuzzy association rules by extracting the best possible rules using Genetic Algorithms.

Tags: Security Tools, Intrusion Detection Systems		   
whitepaper TechNet Webcast: Mining for Quality: Apply Adaptive Data Quality With SQL Server Data Mining (Level 200)2008-01-17 Microsoft Tips
  Good quality data is essential to a successful business intelligence application. Most of them are probably aware that Microsoft SQL Server includes some useful data quality tools such as Fuzzy Grouping or Fuzzy Lookup. However, there is one tool people may have overlooked - SQL Server Data Mining. When used operationally, SQL Server Data Mining is extremely useful for finding data that lies outside the boundaries of known good data, and it finds these outliers inductively rather than relying on exhaustively hard-coded rules. This webcast introduces this new, adaptive approach to data quality and shows how adaptive quality can be applied at many phases of the business intelligence project - whether data entry, during warehouse loading, or during analysis.

Tags: Data Quality, Business Intelligence - Data Warehousing		   
whitepaper SAS Enterprise Miner Performance on IBM System p 5702008-01-01 IBM
  Turning increasing amounts of raw data into useful information have become increasingly important in today's highly competitive business environment, increasing the demand for predictive, analytics data mining solutions. SAS Enterprise Miner (EM), powerful and comprehensive data mining software, includes services and training to help organizations get started right away exploring large quantities of data to discover relationships and patterns that lead to proactive decision making. IBM's unmatched expertise in hardware and software technology, along with services, enables the SAS Enterprise Miner solution for AIX 5L on IBM POWER processor-based systems offers significant benefits. It can be deployed on an infrastructure that is designed to improve reliability, performance and scalability across diverse data mining projects commonly used in real-life production environments.

Tags: UNIX		   
whitepaper A Large Financial Services Institution Seeks a Technological Solution to Keeping Its Customers Informed2008-01-01 IBM
  In the crowded financial services field, one important way for banks seeking to distinguish themselves from the competition is through exceptional customer service. Through its customer alert service, this financial institution sought a way to enhance its customer relationships and boost productivity while aligning its technology strategy more closely to the needs of business and capitalizing on existing IT investments. With hundreds of branches serving customers throughout North America, Latin America, Europe, East Asia and Australia, the bank turned to IBM for help in improving its services and strengthening its customer relationships through a real-time messaging system that alerted customers to specified events related to their accounts. Customers could choose whether to receive the alerts on their cell phone via SMS or by e-mail.

Tags: Accounting Applications, Collaboration Tools		   
whitepaper Through Better Analysis of Company Operations and Financial Metrics, This Leading Motorcycle Manufacturer Increases the Benefits of Its Forecasting and Planning Solutions2008-01-01 IBM
  The motorcycle manufacturer wanted to increase cost effectiveness, as well as improve market responsiveness and brand image. Its challenges were its slow speed to market, high inventory levels and high transportation costs. IBM helped this manufacturer overcome many of its challenges by identifying the initiatives that would have the greatest impact on those issues. The client was able to increase the benefits of implementing those new initiatives by using IBM's Business Value Modeling Tool.   
whitepaper Microsoft BI Is Head of the Class at Coppin State University2007-12-04 Microsoft Tips
  Faced with a small IT staff, a limited budget and a need to optimize its existing PeopleSoft ERP application and HEAT helpdesk platform, solving their data access problems could have been a daunting task for Coppin State University (CSU). Adding complexity, it needed a BI solution that would not take two or three years to implement. Finally it had to be easy-to-use with minimal training since it would be deployed to 200 users across the organization. CSU selected SQL Server and Windows Server 2000 as the best choice for moving forward. They also implemented Microsoft Office PerformancePoint Server 2007 for in-depth data analysis, an integrated performance management application designed to help improve operational and financial performance across the organization.

Tags: Database Management, Business Intelligence - Data Warehousing		   
whitepaper Data Center Workload Monitoring, Analysis, and Emulation2007-12-01 Duke University
  Over the last ten years the author has witnessed a shift from large mainframe computing to commodity, off-the-shelf clusters of servers. Today's data centers contain thousands or tens of thousands of servers, providing services and computation for tens or hundreds of thousands of users. In addition to traditional IT challenges such as server management, security, and performance, data center owners now must deal with power and thermal issues, previously the domain of facilities management. These trends will continue to accelerate as organizations acquire bladed servers and consolidate multiple, smaller clusters into centrally-located data centers. However, in spite of these trends, there has been no corresponding change in emphasis in the methods and toolkits that target system instrumentation, analysis, management, replay, and emulation.

Tags: Data Center		   
whitepaper TechNet Webcast: Deliver Actionable Insight Throughout Your Organization With Data Mining (Part 3 of 3): Use Predictive Intelligence to Create Smarter KPIs (Level 200)2007-11-29 Microsoft
  The Key Performance Indicator (KPI) is an essential tool in building business intelligence applications for executive and strategic use. However, traditional KPIs are built over historical data, showing what has happened in the past and the current state of the business. There is increasing demand for "predictive KPIs," which show not only current status but project future status. For example, rather than knowing how many customers churned last quarter, would it not be useful to know how many customers are in danger of churning next quarter? This webcast demonstrates how to design, build, and deploy predictive KPIs using Microsoft SQL Server Data Mining.

Tags: Database Management, Business Intelligence - Data Warehousing