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 TitleDate AddedCompany
whitepaper Use of Text Mining to Predict Patient Compliance2008-03-13 SAS Institute
  The purpose of this study is to examine standards of care in the Dental School of the University of Louisville. The central theme is to consider issue of compliance on behalf of the patients and how to define it in an unbiased way. The paper will examine the relationship of visit intervals, treatment needs, and patient compliance. With the use of SAS 9.1.3 software, data mining techniques such as clustering, kernel density, linear models and mixed models estimation will be used to define and analyze compliance. Statistical methods such as text mining were used to examine the severity of patient conditions. Confidence interval estimation and bootstrapping were explored to assist with the allocation of patients to compliance levels.

Tags: Data Mining - Analysis, Security Standards		   
whitepaper Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression2008-03-13 SAS Institute
  Fourteen-hundred rows by 53 columns of vendor cell acceptance data were processed though Logistic Regression using SAS Enterprise Miner (EM) to find any significant correlation between 52 test output parameters (independent variables) and the pass/fail outcome for each of the 1,400 battery cells tested. The goal was to find helpful predictors for detecting "Good" or "Bad" cells in the form of a best Logistic Regression model. Data from five cells selected by Johnson Space Center's (JSC's) Energy Systems Division (ESD) were processed through three model options (Option1, Option2, and Option3) to determine the best model and to indicate a known cell that failed. The output from the best model showed good acceptability statistics and indicated the failed cell was less acceptable than the other cells.

Tags: Data Mining - Analysis		   
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 Data Centers Are Adopting Green Initiatives But Are Wary of Vendors' Marketing Messages2008-03-11 Aperture Technologies
  The IT industry and business in general are slowly waking up to the impact they are having on the environment. While the newspaper headlines target the growth of cheap flights as a leading cause of global warming, some commentators have suggested the IT industry is responsible for more carbon emissions than aviation. Organizations have to be seen to be environmentally aware, but how much of it is PR bluster, and how much of it is backed up by action? This survey shows that although 70% of organizations are adopting a green initiative, 19% admit the data center has been overlooked and 13% don't know how the data center is affected by the policy.   
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		   
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 Small Improvements Causing Substantial Savings - Forecasting Intermittent Demand Data Using SAS Forecast Server2008-03-10 SAS Institute
  Businesses require accurate forecasts of time series data that is not continuous. Often, time series data is intermittent (discontinuous or interrupted). Intermittent time series data points are mostly zero (the base value), with occasional departures from the base value. Intermittent time series are common in business and economic data. For example, at progressively lower levels of data disaggregation (larger frequency, smaller geography, or both), the time series data is often intermittent. The most commonly used forecasting techniques are continuous time series methods such as Exponential Smoothing Methods (ESM). Continuous methods are meant to forecast the future values with respect to future time periods.

Tags: Data Mining - Analysis