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 TitleDate AddedCompany
whitepaper Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis2008-03-13 SAS Institute
  In regression analysis, non-linearity in fixed and random effects can adversely affect efficiency of regression parameter estimates. Successful non-linear time series modeling would improve regression parameter estimates and produce a richer notion of water quality than linear time series models allow. In addition multiple independent variables make each point in space a finite dimensional vector, non-linear in two dimensions jointly. The SAS/STAT procedure, NLMIXED fits non-linearity successfully in any time series using maximum likelihood-based methods.

Tags: Data Mining - Analysis		   
whitepaper Survival Data Mining: Treatment of Chronic Illness2008-03-13 SAS Institute
  Patients with chronic illness often have many medications available for treatment. Medications are changed, and added when the patient experiences side effects or the disease progresses so that a medication is no longer effective. It is the purpose of this project to use survival data mining techniques to investigate prescribed medications for patients with Type II diabetes. The paper examines the Medical Expenditure Panel Survey for the years 2000-2004 and validates the results using a second database for a cohort of patients with diabetes. The paper preprocesses the data by filtering to medications listed for the ICD9 code for diabetes. Then the author removes medications not specifically related to glucose control, eliminating misspellings and name variations.   
whitepaper Getting Started With ODS Statistical Graphics in SAS 9.22008-03-13 SAS Institute
  ODS Statistical Graphics (or ODS Graphics for short) is major new functionality for creating statistical graphics that is available in a number of SAS software products, including SAS/STAT, SAS/ETS, SAS/QC, and SAS/GRAPH. With the production release of ODS Graphics in SAS 9.2, over sixty statistical procedures have been modified to use this functionality, and they now produce graphs as automatically as they produce tables. In addition, new procedures in SAS/GRAPH use this functionality to produce plots for exploratory data analysis and for customized statistical displays. SAS/GRAPH is required for ODS Graphics functionality in SAS 9.2. This paper presents the essential information one needs to get started with ODS Graphics in SAS 9.2.

Tags: Data Mining - Analysis, Data Visualization		   
whitepaper Developing a Dashboard to Aid in Effective Project Management2008-03-13 SAS Institute
  Accurately tracking programming support activities as a team manager can be a complex task. The overall coordination of the programming resources, testing support and production moves was hampered by the crude reporting functionality available in the change management system. This management challenge was solved by the development of the CMS IR Technical Support Dashboard utilizing SAS Enterprise Guide, SAS/GRAPH and SAS BI Dashboard 3.1 functionality. Working together with the management team, the dashboard was created to provide quick access in an easy to read graphical display of numerous key performance indicators. There is also functionality providing multiple alerts as defined by the management team (e.g. an application that stays in "User test" for more than 72 hours).

Tags: Application Development		   
whitepaper Five Steps to More Valuable Enterprise Data2008-03-12 DataFlux
 

Companies worldwide struggle with inconsistent, inaccurate or unreliable data - and often don't know how to build more useful corporate information. This white paper examines a five-step method for improving your data, using data profiling, data quality, data integration and other methods to find and fix bad data.



Tags: Data Quality, Business Intelligence - Data Warehousing		   
whitepaper Avoid Growing Pains: New Cube Update Features You Should Know About2008-03-12 SAS Institute
  After a SAS OLAP cube is created, it is possible to update the data for the cube without completely recreating it. The SAS 9.2 OLAP Server enables one to incrementally update SAS OLAP cubes. An incremental update involves adding cell data and members to an existing SAS OLAP cube. Incremental updates of a cube are generally faster than rebuilding the cube from the combined set of input data and update data. There are several decisions one must make before one creates the cube that will make the incremental update process run smoother. One will need to decide how to structure the cube and the input data as well as choose a method of update.

Tags: Database Management, Business Intelligence - Data Warehousing		   
whitepaper Demographic Analysis of Fertility Using Data Mining Tools2008-03-12 Jozef Stefan Institute
  This paper used data mining techniques to discover which attributes have the highest impact on country fertility rates. The data was analyzed in various ways; altogether and joined in smaller, meaningful groups, such as sociological, economical, philosophical, biological, etc. The paper separately analyzed different groups of countries, current state and fertility trends, and tested several class schemas. Most relevant decision trees are presented and interpreted showing some known and some new conclusions. The iterative use of data mining techniques again proved to be successful in finding complex relations, but still needing expert interpretation as any computer method.

Tags: Data Mining - Analysis		   
whitepaper Information Architecture Essentials, Part 4: Improving Usability of Information Systems2008-03-11 IBM
  The best-organized information in the world is useless without an effective way to present that information to the interested audience. Poorly designed interfaces, inadequate search and filtering support, and confusing visual displays can severely hamper the success of any information architecture. To make complex information accessible to end users, one must make a significant effort to research and design the way users will interact with the information management system.   
whitepaper Better Hashing in SAS 9.22008-03-11 SAS Institute
  The DATA step hash object is one of the most versatile new features of Base SAS programming. Since its introduction in SAS 9, the paper has numerous accounts from users where the hash object has drastically reduced data processing time for complex data join operations. Based on feedback, the paper has further enhanced the hash object. For SAS 9.2, the paper introduces the ability to store duplicate keys in a hash object and have added a find frequency counter. This paper leverages the duplicate key capability to implement true SQL-like joins as well as partial-key look-ups. In addition, the paper explores uses for the find frequency counter. Go beyond SAS 9.1 and see why hashing in SAS 9.2 improves how one processes data.

Tags: Programming Languages, Database Management		   
whitepaper Best Practices for SAS Business Intelligence Administrators: Using the Configuration Troubleshooter to Keep SAS Solutions and SAS BI Applications Running Smoothly2008-03-11 SAS Institute
  There is a tool that will help pinpoint access problems, check that security has been implemented correctly, debug WebDAV configuration issues, monitor the health of the Web application server, and more for one's SAS Business Intelligence installation. It will even allow one to create checks of their own, comparing configuration files to standards that one defines. This tool is the Configuration Troubleshooter, and it is invaluable for creating and maintaining a smooth-running BI environment. This presentation will teach how to use the Configuration Troubleshooter for maintenance and troubleshooting. Using case studies collected from SAS Technical Support, the paper will step through the process of problem discovery, investigation, and resolution using this tool.

Tags: Best Practices