data mining and sas institute

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Controlling OLAP Applications End to End

In SAS 9.2, there are several new features that help administrators to secure and control the use of OLAP Cubes in a reporting environment. This paper highlights the following new and existing features: ability to include or exclude members from aggregated values parent values, member Level Security user interface, subsetting...

Tags: OLAP, SAS Institute, Data Mining, Databases, Enterprise Software, Software, Data Management

White papers 2008-03-24

Tailoring the Use of SAS Enterprise Miner

A growing number of SAS users with different goals and skill levels need access to data mining functionality. The new generation of SAS Enterprise Miner 5 and the SAS stored process facility provide an easy way to tailor data mining functionality to the user's needs. The flexible architecture of SAS...

Tags: SAS Institute, Data Mining, Enterprise Software, Software, Data Management

White papers 2008-03-13

Data Mining to Predict the Occurrence of Resistant Infection

In order to demonstrate the use of predictive modeling in SAS Enterprise Miner, the paper will examine the problem of resistant infection in the hospital using data from the National Inpatient Sample. The National Inpatient Sample contains approximately 8 million records and represents 37 states. A sample of 800,000 inpatient...

Tags: Infection, Data Mining, SAS Institute, National Inpatient Sample, Research & Development, Security, Business Operations

White papers 2008-03-13

Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis

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...

Tags: Data Mining, SAS Institute, Analysis, Modeling, Research & Development, Business Operations

White papers 2008-03-13

Avoid Growing Pains: New Cube Update Features You Should Know About

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...

Tags: OLAP, SAS Institute, SAS 9.2 OLAP Server, Data Mining, Databases, Enterprise Software, Software, Data Management

White papers 2008-03-12

SAS Enterprise Miner Performance on IBM System p 570

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...

Tags: SAS Institute, IBM Corp., Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing

White papers 2008-01-01

Find the Best Prospects for a New Product by Using a Data Mining Model

The market department of a financial firm keeps records on customers, including demographic information and their type of accounts. The firm is launching a new product and wishes to determine who are the best prospects among the existing customers for this new product. People are asked to provide a list...

Tags: Prospect, Neural Network, Data Mining, SAS Institute, Confusion Matrix

White papers 2007-05-14

Beyond the Basics: Advanced OLAP Techniques

With version 9 of SAS came with a completely new OLAP framework that would give developers the ability to customize OLAP report data in ways never before possible from within SAS. Multidimensional Expression Language is the foundation of v9 SAS cubes and is responsible for the increased flexibility and functionality....

Tags: OLAP, SAS Institute, Data Mining, Databases, Enterprise Software, Software, Data Management

White papers 2007-05-14

Introduction to the SAS9 Business Intelligence Platform: A Tutorial

Business Intelligence BI is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications support the activities of decision support, query and reporting, OnLine Analytical Processing OLAP, statistical analysis, forecasting, and data mining....

Tags: SAS Institute, Pricing, Business Intelligence, Tools & Techniques, Data Mining, Databases, Enterprise Software, Marketing, Software, Data Management, Management

White papers 2007-05-14

Data Mining Physician Decisions for MRSA

Methicillin-Resistant Staphylococcus Aureus MRSA is a type of bacteria that is resistant to most antibiotics. These antibiotics include methicillin and other more common antibiotics such as Septra, Cipro, Penicillin and Amoxicillin. MRSA occurs most frequently among persons in hospitals and healthcare facilities such as nursing homes and dialysis centers who...

Tags: SAS Institute, Health Care, MRSA, Healthcare, Vertical Industries, Benefits, Data Mining, Enterprise Software, Software, Human Resources, Data Management

White papers 2007-05-14

Identifying and Overcoming Common Data Mining Mistakes

Due to the large amount of data typically involved, data mining analyses can exacerbate some common modeling problems and create a number of new ones. These problems can greatly increase the time that it takes to develop useful models and can hamper the development of potentially superior models. This paper...

Tags: SAS Institute, Modeling, Research & Development, Data Mining, Business Operations, Enterprise Software, Software, Data Management

White papers 2007-05-14

Introduction to the SAS 9 Business Intelligence Platform: A Tutorial

Business Intelligence BI is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications support the activities of decision support, query and reporting, Online Analytical Processing OLAP, statistical analysis, forecasting, and data mining....

Tags: SAS Institute, ThotWave Technologies, Pricing, Business Intelligence, Tools & Techniques, Databases, Data Mining, Enterprise Software, Marketing, Software, Data Management, Management

White papers 2007-03-05

The Value of Real Time Scoring Technology Using SAS

Imagine having built a Data Mining model to detect fraudulent credit card transactions. If this model is applied once a day by the analyst to determine the nature of transaction, this implies the loss of preventing fraudulent transactions at the moment it occurred due to the fact that the model...

Tags: SAS Institute, Data Mining, Enterprise Software, Software, Data Management

White papers 2006-02-28

Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1

To ensure the health and welfare of children and to reduce welfare costs, child support agencies around the country are tasked with successfully collecting child support payments for the children in their respective states. This paper describes two case studies that illustrate how a data mining approach has helped agencies...

Tags: Payment, Agency, Child, SAS Institute, Research & Development, Operational Accounting, Data Mining, Business Operations, Finance, Enterprise Software, Software, Data Management

White papers 2006-02-28

An Application of Survival Analysis to Population Dynamics in Human Capital Management

Using Base SAS, SAS/STAT and SAS/GRAPH, a decision support infrastructure is built to monitor and forecast workforce retention dynamics relative to the economic value of Unicru Personality Assessments. Using PROC LIFEREG the authors developed best fit survival models for employee lengths of stay and with these best fit model's hazard...

Tags: Survival, Decision Support, SAS Institute, Human Capital Management, Analysis, Workforce, SAS/GRAPH, Data Mining, Human Capital, Tools & Techniques, Workforce Management, Recruitment & Selection, Databases, Enterprise Software, Software, Data Management, Human Resources, Management

White papers 2006-02-28

Investigating Open Source Project Success: A Data Mining Approach to Model Formulation, Validation and Testing

This paper demonstrates the use of Data Mining DM techniques in exploratory research. A robust model for identifying the factors that explain the success of Open Source Software OSS projects is created, validated and tested. The predictive modeling techniques of Logistic Regression LR, Decision Trees DT and Neural Networks NN...

Tags: Open Source, SAS Institute, Research & Development, Data Mining, Business Operations, Enterprise Software, Software, Data Management

White papers 2006-02-28

Data and Text Mining the Electronic Medical Record to Improve Care and to Lower Costs

The analysis presented in this paper uses data-mining techniques on an electronic medical record in the Emergency Department of a hospital to improve care while lowering costs. All patients' records for a 6-month period were examined, and records of those patients who had an initial complaint of shortness-of-breath were extracted....

Tags: Patient, Text Mining, Electronic Health Record, SAS Institute, E-health, Data Mining, Healthcare, Enterprise Software, Software, Data Management

White papers 2006-02-28

Multidimensional Analysis With SAS: An Introduction and Overview

OLAP has become a standard requirement for almost any BI-related project because it enables users to navigate quickly through complex business data. This white paper provides an overview of several integrated SAS products that can be used for OLAP. You will learn how these products, all part of SAS Enterprise...

Tags: OLAP, SAS Institute, Analysis, Data Mining, Enterprise Software, Software, Data Management

White papers 2005-09-01

Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities

The banking sector has undergone rapid change during the past decade. Factors such as rapid technological advances, a booming economy, a broadening of products and services offered, and consolidation have had the greatest impact. As the industry has evolved, the core competencies required to successfully compete have undergone dramatic change....

Tags: Income, SAS Institute, Banking Sector, Mortgages, Data Mining, Business Intelligence, Banking, Finance, Capital Structures, Enterprise Software, Software, Data Management, Financial Services

White papers 2005-06-01

SAS Data Mining Skills Help Dalhousie University Graduates Succeed

Since it was founded in 1818, Dalhousie University in Halifax has grown to become one of Canada's leading universities with established, internationally renowned programs of graduate and professional studies. Today, Dalhousie's Master of Business Administration MBA program is one of the top programs in Canada, recognized for graduating students who...

Tags: SAS Institute, Canada, Dalhousie University, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing

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