- Subscribe to this page:
- RSS
- Email Alert
data mining - analysis
(2147 results)-
Whitepapers
Why Performance Management? A Guide for the Midsize Organization
Sep 2009
Learn how midsize companies can use performance management solutions to gain competitive advantage without breaking the bank.
Provided by IBM
-
Whitepapers
The Shortcut Guide to Achieving Business Intelligence in Midsize Companies
Dec 2009
See what BI can do for your company in this complete four-chapter Shortcut Guide to BI success. Learn practical, affordable tips for creating or expanding your BI strategy.
Provided by IBM
-
Webcasts
Demo: Analysis with IBM Cognos Express
Sep 2009
Midsize businesses need the ability to spot business problems immediately and recognize emerging trends quickly. They should be able to easily answer essential business questions such as, "Which...
Provided by IBM
-
Webcasts
Demo: What - If Modeling with IBM Cognos Express
Oct 2009
There's no such thing as a crystal ball for business, but there is IBM Cognos Express, an integrated business intelligence and planning product purpose-built and priced for midsize companies....
Provided by IBM
-
Case Studies
Fujitsu Case Study: Tokyo Stock Exchange (TSE)
Oct 2008
TSE needed to improve the speed and quality of the disclosure of company information in order to boost market efficiency and confidence. As a solution Interstage XWand was used to develop the...
Provided by Fujitsu
-
White Papers
Enterprise Performance Management - Management Excellence Metrics Reloaded
Jan 2010
In performance management, consistency is king. The simple sounding steps—identify and focus on value drivers, and align the organization to drive results—beg the question: What's the best...
Provided by Oracle
-
White Papers
Financial Analytics Datasheet
Jan 2010
Across industries, companies face increased pressure to grow revenues while holding costs in check. This means ensuring that money spent on efforts to market, acquire, sell to, and service...
Provided by Oracle
-
White Papers
Hyperion Performance Scorecard Datasheet
Jan 2010
Oracle Hyperion Performance Scorecard helps company's clearly articulate strategy and goals, communicate them across the enterprise, and monitor key performance indicators. It provides a flexible...
Provided by Oracle
-
White Papers
Executive Paper: Oracle Crystal Ball
Jan 2010
Increase revenue. Decrease costs. Reduce development time. Every day you strive to meet these goals. And each business decision you make either enables you to advance toward them - or impedes your...
Provided by Oracle
-
Webcasts
MSDN Webcast: Oracle Developer Tools for Visual Studio .NET (Level 200)
Sep 2005
This webcast shows the new Oracle Developer Tools for Microsoft Visual Studio .NET, a tightly-integrated tool set that makes building Microsoft .NET applications for the Oracle database easier and...
Provided by Microsoft
-
White Papers
Achieving Business Insight by Integrating Relational and Multi-Dimensional Data
Aug 2009
To establish competitive differentiation, organizations across the globe face similar issues - the need to simultaneously address situational questions ("What"), and forward-looking questions...
Provided by Oracle
-
Whitepapers
From Reporting to Performance Management
Jul 2009
Learn how IT & BI departments can face the challenge of deploying a technology infrastructure to support performance management initiatives.
Provided by IBM
-
Whitepapers
Analytics for Everyone
Oct 2009
Learn how IBM's acquisition of SPSS provides SPSS users a broader support network, IBM Cognos users a predictive analytics platform, and more enterprise users one-stop shopping.
Provided by IBM
-
Whitepapers
Fighting the Tide
Sep 2009
Aberdeen Group recently examined how companies are using Business Intelligence (BI) tools to adapt to today's market pressures. They discovered that despite these adverse economic conditions, some...
Provided by IBM
-
Whitepapers
Enterprise Reporting a Sound Step to Superior Performance Management
Dec 2009
Reporting has long been a core activity for getting valuable information out to users. The time has come to take it to the next level: to make possible a broader, richer and higher-quality view of...
Provided by IBM
-
Case Studies
Broadridge Recovers Lost Revenue and Helps Prevent Future Loss With Payment Recovery Solution
Nov 2009
Since 2007, Broadridge, formerly a subsidiary of ADP, has provided a range of complete brokerage processing solutions for both retail and institutional firms around the globe. Broadridge wanted to...
Provided by Hewlett-Packard (HP)
-
Whitepapers
Diagnosing the Cause of Poor Application Performance
Mar 2010
When troubleshooting application performance issues, there are two steps you can take. First, understand the common causes and, second, use the right tool to diagnose them. Read about these common...
Provided by Fluke Networks
-
Downloads
Informatica Data Archive
Manage Data Growth While Controlling CostsMar 2010
An Informatica Product Demo Data volumes aren't just growing—they're exploding. In fact, much of the expensive hardware and software in your organization is probably clogged with it. Even worse,...
Provided by Informatica
-
White Papers
Aluminum Alloy Sensitization Data Visualization and Analysis
Jul 2009
Aluminum alloys with magnesium content greater than three weight percent, such as the 5xxx alloy family, are susceptible to a process called sensitization when exposed to temperatures in excess of...
Provided by Vision Point Systems
-
White Papers
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Feb 2010
Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining approaches or just for browsing...
Provided by Indiana University
-
White Papers
Visualizing Data Mining Results With the Brede Tools
Jul 2009
A few neuroinformatics databases now exist that record results from neuroimaging studies in the form of brain coordinates in stereotaxic space. The Brede Toolbox was originally developed to...
Provided by Frontiers Media
-
White Papers
Visualization of Differences in Data Measuring Mathematical Skills
Jan 2010
Identification of significant differences in sets of data is a common task of data mining. This paper describes a novel visualization technique that allows the user to interactively explore and...
Provided by University of Ostrava
-
White Papers
SellTrend: Inter-Attribute Visual Analysis of Temporal Transaction Data
Jul 2009
This paper presents a case study of the experience designing SellTrend, a visualization system for analyzing airline travel purchase requests. The relevant transaction data can be characterized as...
Provided by Institute of Electrical and Electronics Engineers
-
White Papers
Relationship-Based Clustering and Visualization for High-Dimensional Data Mining
Nov 2007
In several real-life data-mining applications, data reside in very high (1000 or more) dimensional space, where both clustering techniques developed for low-dimensional spaces (k-means, BIRCH,...
Provided by INFORMS
-
White Papers
Integrating Statistics and Visualization: Case Studies of Gaining Clarity During Exploratory Data Analysis
Apr 2008
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. The paper proposes that a tight integration of these...
Provided by Association for Computing Machinery
-
White Papers
A Data Visualization and Data Mining Approach to Response and Non-Response Analysis in Survey Research
Dec 2007
Survey data based on self-selected samples are inherently subject to the threat of selection bias. In this study, both data visualization and data mining techniques were employed to examine...
Provided by Arizona State University
-
Whitepapers
Strategic Use of Analytics in Government
Apr 2008
In recent years, breakthroughs in data-capturing technologies, data standards, data storage, and modeling and optimization sciences have created opportunities for large-scale analytics programs....
Provided by IBM
-
Whitepapers
IBM IMS Tools Performance and Tuning Solution - Helping You Achieve and Maintain Superior IMS Performance
Jun 2009
The IMS Tools Performance and Tuning Solution from IBM provides comprehensive performance analysis and tuning assistance for IMS transactions and databases, and includes functionality that is not...
Provided by IBM
-
Whitepapers
Next-Generation Forecasting: How Rolling Forecasts Can Rescue Your Company's Performance
Mar 2010
Faster, more accurate forecasting is essential in today's turbulent business environment, where uncertainty, insecurity, declining markets and dwindling consumer demand have created significant...
Provided by IBM
-
Whitepapers
Data Mining for Everyone
Jul 2008
Business intelligence systems are key tools for providing organizations with important business insights, allowing for fast and reliable business decisions. Data warehousing is an integral part of...
Provided by IBM
-
Whitepapers
The Next Frontier for Support Centers
Mar 2010
This smith+co white paper explores the importance of the customer experience and the role of technology in creating, nurturing and strengthening customer relationships with every single interaction.
Provided by Citrix Online
-
Case Studies
Los Angeles Unified School District Saves US$60,000 Annually by Automating Baseline Management
Apr 2010
Los Angeles Unified School District (LAUSD) wanted to improve insight into project and portfolio performance to support the district's new school construction - which includes 131 new school...
Provided by Oracle
-
Case Studies
Bank Austria: Powerful IBM Cognos Solution Helps Unite Banks
Dec 2009
The Austrian branches of the Bank Austria were already using an older IBM Congos solution, so it was just a matter of upgrading the software and implementing a roll-out in the bank's new German...
Provided by IBM
-
Case Studies
Smarter Analytics and Executive Insight at Selective: Driving Growth, Empowering People
Apr 2010
The insurance industry is data rich but information poor. They realized early on that the potential of putting that data in a real-time environment would help drive long-term shareholder value....
Provided by IBM
-
White Papers
A New Hybrid Agent-Based Modeling & Simulation Decision Support System for Breast Cancer Data Analysis
Jun 2009
This paper presents a novel technique of building hybrid decision support systems which integrates traditional decision support systems with agent based models for use in breast cancer analysis...
Provided by University of Stirling
-
White Papers
Improving the Defense Lines: The Future of Fraud Detection in the Insurance Industry (with Fraud Risk Models, Text Mining, and Social Networks)
Mar 2010
Given the current global economic turmoil and contracting economies, financial crime is on the rise. The use of analytical techniques to protect financial institutions against fraudulent activity...
Provided by SAS Institute
-
White Papers
Using SAS Marketing Optimization as a Forecasting Tool
Apr 2010
The purpose of this paper is to discuss a methodology for using SAS Marketing Optimization for business forecasting. In 2009 a team was formed to explore using SAS Marketing Optimization to better...
Provided by SAS Institute
-
White Papers
Rapid Predictive Modeling for Customer Intelligence
Mar 2010
Business analysts often need to develop campaigns based on predictive models to select which customers to target. The models often need to be developed in a short amount of time without always...
Provided by SAS Institute
-
White Papers
Successful Product Creation by Using Analytics to Discover What Consumers Value
Mar 2010
Accurately identifying and understanding potential customers for future products greatly improves the likelihood of market success. This is particularly important for automotive manufacturers that...
Provided by Ford Motor
-
White Papers
Dealing With Lab Data - Stacking the Deck in Your Favor
Mar 2010
In the world of clinical research, laboratory data yields some of the largest and most unwieldy data sets SAS programmers encounter in a project. Lab data usually is collected both on data...
Provided by SAS Institute
-
Whitepapers
Performance Evaluation of Three Model-Based Documents Clustering Algorithms
May 2011
Text classification, document clustering and similar document analysis are the most important areas of data mining. It is currently the subject of significant global research since such areas...
Provided by EuroJournals
-
Whitepapers
Validation Techniques to Find Optimal Clusters in Gene Expression Data
Jun 2011
The proliferation of microarray gene expression data have been analyzed by many popular data mining techniques. In that, clustering is one of the powerful tools in data mining which clusters the...
Provided by EuroJournals
-
Whitepapers
Mobility Prediction for Delay Reduction in WLAN Using Location Tracking and Data Mining
Aug 2012
Prediction of mobile path of a mobile node is of great importance since it reduces the handoff delays incurred during the handoff procedure. The proposed system is called Predictive Mobility...
Provided by International Journal of Computer Applications
-
Whitepapers
Mining Frequent Patterns from Data Streams Using Dynamic DP-tree
Aug 2012
A DataStream is a real time continuous, ordered sequence of items. It is impossible to control the order in which items arrive, nor it is feasible to locally store a stream in reality. By short it...
Provided by International Journal of Computer Applications
-
Whitepapers
Recent Techniques of Clustering of Time Series Data: A Survey
Aug 2012
Time-Series clustering is one of the important concepts of data mining that is used to gain insight into the mechanism that generate the time-series and predicting the future values of the given...
Provided by International Journal of Computer Applications
-
Whitepapers
Improved Keyword and Keyphrase Extraction from Meeting Transcripts
Aug 2012
Keywords play a vital role in extracting the correct information as per user requirements. Keywords are like index terms that contain the most important information about the content of the...
Provided by International Journal of Computer Applications
-
Whitepapers
Data Mining Techniques for the Performance Analysis of a Learning Model - A Case Study
Sep 2012
In this paper, the authors deal with a comparative study of the application of various data mining algorithms for the performance analysis of the learning model. The learning model for Mathematics...
Provided by International Journal of Computer Applications
-
Whitepapers
Effective Cleaning of Educational Web Site Usage Patterns and Predicting Their Next Visit
Sep 2012
Universities with web education rely on web usage analysis to obtain students behavior for education promotion. The Internet is an information gateway and as a medium for business and education...
Provided by International Journal of Computer Applications
-
Whitepapers
A Survey on Methods, Attacks and Metric for Privacy Preserving Data Publishing
Sep 2012
Privacy Preserving is a prerequisite for most of the existing systems. Data is usually distributed in the system so the main job of Data Publisher is to retrieve information from different...
Provided by International Journal of Computer Applications
-
Whitepapers
Novel Pre-Processing Technique for Web Log Mining by Removing Global Noise, Cookies and Web Robots
Sep 2012
Today internet has made the life of human dependent on it. Almost everything and anything can be searched on net. Web pages usually contain huge amount of information that may not interest the...
Provided by MANONMANIAM SUNDARANAR UNIVERSITY
-
Whitepapers
Opinion Mining Based on Recombined Parallel Neural Network
Jul 2011
With Internet becoming a base for exchanging ideas, customer reviews for a product grows rapidly in various user groups. For popular products the reviews found in the Internet could be in...
Provided by EuroJournals
-
Whitepapers
Fuzzy Possibilistic C-Means Algorithm for Clustering on Web Usage Mining to Predict the User Behavior
Aug 2011
Web usage mining is the major application of data mining approach to learn usage patterns from web data, with the intention of enhanced understanding and serve the requirements of web-based...
Provided by EuroJournals
-
Whitepapers
Similarity Detection in Source Code Using Data Mining Techniques
Oct 2011
With the advent of the Internet, the great big world has but shrunk into a single global village. Resources, millions of them, are just a click away from any user, wherever one may be present...
Provided by EuroJournals
-
Whitepapers
Distributed Data Mining System for Renal Data Analysis to Improve the Performance of Expert System
Nov 2011
Data mining techniques that scale up to large and physically distributed renal data and its role in improving the performance of the expert system are investigated here. The Data mining system aim...
Provided by EuroJournals
-
Whitepapers
Performance Evaluation of Metal Ore Mining Firms in Tehran Stock Exchange Using of VIKOR and AHP Methodology
Oct 2011
Now-a-days ranking is an important matter for mangers. Determining the competitiveness of the firms and evaluating the financial performance of them is also crucial for the sector's development....
Provided by EuroJournals
-
Whitepapers
Privacy Preserving Distributed Data Mining using Randomized Site Selection
Nov 2011
Distributed data mining explores hidden useful information from data sources distributed among several sites. Privacy of participating sites becomes great concern and sensitive information...
Provided by EuroJournals
-
Whitepapers
An e-Learning Recommendation System using Association Rule Mining Technique
Nov 2011
The fast growth of e-learning around the world is inspiring many educational and business institutions to adopt the adaptive personalized method of teaching and learning. However the success of...
Provided by EuroJournals
-
Whitepapers
An Empirical Analysis Over the Four Different Methods of Progressive Sampling-Based Association Rule Mining
Dec 2011
Sampling which is a powerful data reduction technique can be utilized to a variety of problems in database systems and data mining. In this paper, the authors have made an extensive analysis over...
Provided by EuroJournals
-
Whitepapers
Mining Spatially Co-Located Objects from Vehicle Moving Data
Jan 2012
Co-location pattern discovery is intended towards the processing data with spatial contexts to discover classes of spatial objects that are frequently located together. Mining co-location patterns...
Provided by EuroJournals
-
Whitepapers
Evaluation of Clustering Algorithm with Cluster Validation Metrics
May 2012
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. Existing clustering...
Provided by EuroJournals
-
Whitepapers
A Reliability Analysis of Datacenter Topologies
Nov 2012
The network infrastructure plays an important role for datacenter applications. Therefore, datacenter network architectures are designed with three main goals: bandwidth, latency and reliability....
Provided by Institute of Electrical and Electronics Engineers
-
Whitepapers
A Smart Hybrid Data Mining Technique for Improving Classification Accuracy in Complex Data Sets
Feb 2012
Enterprise data mining applications, such as mining public service data and telecom fraudulent activities, inevitably involve complex data sources, particularly multiple large scale, distributed,...
Provided by EuroJournals
-
Whitepapers
Intelligent Data Mining Techniques for Intrusion Detection Models on Network
Feb 2012
Data mining techniques have been successfully applied in almost all the fields including process control, marketing, manufacturing, fraud detection and network management. Over the past few years,...
Provided by EuroJournals
-
Whitepapers
Cluster Analysis by Binary Pretopology
Apr 2012
Cluster analysis or unsupervised classification is an important technique in exploratory data analysis when no a priori information of the distribution of the observed data is available. A new...
Provided by EuroJournals
-
Whitepapers
Preprocessing of Educational Institution Web Log Data for Finding Frequent Patterns Using Weighted Association Rule Mining Technique
May 2012
In the Internet world, web search is mandatory to all. Millions of searches performed for each second in a web and that search information are stored in Web Server Log. Web Log data are massive...
Provided by EuroJournals
-
Whitepapers
A Five Step Procedure for Outlier Analysis in Data Mining
May 2012
Now-a-days, outlier detection is primarily studied as an independent knowledge discovery process merely because outliers might be indicators of interesting events that have never been known...
Provided by EuroJournals
-
Whitepapers
A Datamining Algorithm - Sospecminer for Mining API Specifications
May 2012
Data mining is increasingly popular because of the substantial contribution it can make. It can be used to control costs as well as contribute to revenue increases. Many organizations are using...
Provided by EuroJournals
-
Whitepapers
Performance Evaluation of Utility Itemset Mining Algorithms
Jun 2012
Traditional association rules mining cannot meet out the various demands arising from real world applications. A research area within utility based data mining is emerging world wide. It considers...
Provided by EuroJournals
-
Whitepapers
Frequent Pattern Mining in Social Network Data (Facebook Application Data)
Jul 2012
Data Mining is a process, which involves identification of useful patterns and gathers knowledge which was hidden earlier. It involves various processes of which classification, association rule...
Provided by EuroJournals
-
Whitepapers
An Efficient Intrusion Detection System Based on Pattern Matching and State Transition Analysis
Jul 2012
Emerging technologies have metamorphosed the nature of surveillance and monitoring applications, but the sensory data collected using various gadgets is poorly synchronized and the analysis of...
Provided by EuroJournals
-
Whitepapers
Comparison of Paper Properties in Fillers Using Induction Decision-Tree Algorithm
Aug 2012
Data mining is an automated extraction of hidden predictive information from databases and it allows solving business decision problems. Basically data mining is concerned with analysis of data...
Provided by EuroJournals
-
Whitepapers
An Optimized K-Means Clustering Technique Using Bat Algorithm
Aug 2012
Cluster analysis is one of the primary data analysis methods and K-Means algorithm is well known for its efficiency in clustering large data sets. In K-Means (KM) algorithm is one of the popular...
Provided by EuroJournals
-
Whitepapers
Organization Employees Behavior Mining Using Log Records and Web Mining Techniques
Sep 2012
Now-a-days, the Internet is one of the fundamental requirements of all the organizations. Thus, one of the most important responsibilities of managers in organizations is to make decisions on how...
Provided by EuroJournals
-
Whitepapers
Privacy Preserving of Classification Rules for Multiparty Computation Systems
Sep 2012
This paper discusses the PPDM model, in which, the privacy of data transacted amongst the various parties involved is highlighted. Data mining over multiple data sources has become an important...
Provided by EuroJournals
-
Whitepapers
Efficient Cluster Based Privacy Preservation Data Perturbation Technique in Multi-Partitioned Datasets
Sep 2012
Multi-partitioned data includes both horizontal and vertical data sets which are recent stipulate of e-commerce and e-business data mining environment. In e-business data mining representation,...
Provided by EuroJournals
-
Whitepapers
An Efficient Hybrid Model for Classification Problem in Data Mining
Oct 2012
Data mining a promising field of research in which many researchers are working. It may be viewed as extraction of patterns and models from observed data. The area of data mining is very broad as...
Provided by EuroJournals
-
Whitepapers
Shared and Secured Data Partitioning for Privacy Preserving of Collaborative File Transfer in Multi Path Computational Mining
Nov 2012
In data mining, privacy preservation plays an important role for every part of internet applications like e-commerce which has been developed to improve the online product sharing and data sharing...
Provided by EuroJournals
-
Whitepapers
Fraud Detection in Imbalanced Datasets Using Cost Based Learning
Dec 2012
Due to the rapid advancement in ecommerce and in information technology, the fraud correlated with this field is also increased. This environment deals large amount of data, so efficient data...
Provided by EuroJournals
-
Whitepapers
LD-BK-Means: Low Density Bisecting K-Means Algorithm
Nov 2012
High dimensional data is observable fact in real-world data mining applications. Developing efficient clustering techniques for high dimensional dataset is a challenging dilemma because of the...
Provided by EuroJournals
-
Whitepapers
Embedded Controlled Bridgeless PFC Cuk Converter Fed PMBLDC Motor for Mining Application
Dec 2012
Digital Simulation and implementation of a bridgeless Power Factor Correction (PFC) Cuk converter based adjustable speed controlled VSI fed PMBLDC motor for mining applications is presented in...
Provided by EuroJournals
-
White Papers
Preventive (reporting) Is Better With Multi-Label Format
Mar 2010
Reporting on preventive services provides invaluable insight into utilization of health dollars as well as a feedback on how best costly claims can be avoided in future. Some companies even use...
Provided by Medtronic
-
White Papers
Win With SAS, JMP, and Interest In-House Groups
Mar 2010
Has one considered an in-house group for SAS, JMP, or special interests? This paper discusses how to start and maintain an in-house group. Benefits include leadership opportunity, peer-to-peer...
Provided by Software Intelligence
-
White Papers
Constructing Comprehensive Summaries of Large Event Sequences
Aug 2008
Event sequences capture system and user activity over time. Prior research on sequence mining has mostly focused on discovering local patterns. Though interesting, these pat-terns reveal local...
Provided by Association for Computing Machinery
-
Whitepapers
Finding Links and Initiators: A Graph-Reconstruction Problem
Jan 2009
Analyzing 0-1 matrices is one of the main themes in data mining. Techniques such as clustering or mixture modelling, matrix decomposition techniques such as PCA, ICA, and NMR, and Bayesian all aim...
Provided by IBM
-
White Papers
A Data Mining Case Study: Analytics-Driven Solutions for Customer Targeting and Sales Force Allocation
Aug 2007
Improving sales force productivity is a key strategic priority to drive corporate revenue growth. Sales professionals need to be able to easily identify new sales prospects, and sales executives...
Provided by Association for Computing Machinery
-
Whitepapers
Identifying Themes in Social Media and Detecting Sentiments
Apr 2010
Recently, a huge wave of social media has generated significant impact in people's perceptions about technological domains. They are captured in several blogs/forums, where the themes relate to...
Provided by Hewlett-Packard (HP)
-
Whitepapers
A Novel Traffic Analysis for Identifying Search Fields in the Long Tail of Web Sites
Feb 2010
Using a clickstream sample of 2 billion URLs from many thousand volunteer Web users, one wishes to analyze typical usage of keyword searches across the Web. In order to do this, the paper needs to...
Provided by Hewlett-Packard (HP)
-
White Papers
Text Analysis: The Next Step in Search
Jun 2009
In general, text analysis refers to the process of extracting interesting and non-trivial information and knowledge from unstructured text. Text analysis differs from traditional search in that,...
Provided by ZyLAB
-
White Papers
The Concise Guide to E-Discovery
Jan 2010
E-discovery capabilities are no longer an option - they are a critical "must have" capability that will enable organizations to respond to legal actions and be much more proactive about how legal...
Provided by Google
-
Case Studies
Ferrovie dello Stato Improves Customers' Online Ticketing Experiences by Analyzing User-Behavior
Apr 2010
Ferrovie dello Stato wanted to get prompt, precise insight into bottlenecks and usability problems in the Web site's rail ticket order process and establish a single source of truth for business...
Provided by Oracle
-
Case Studies
Shipper Boosts Productivity, Gets Better Data Insights Faster With Software Upgrade
Mar 2010
Ever wonder how cotton from the southern United States makes it to the interior of Turkey? It is likely shipped by Mediterranean Shipping Company, the second-largest shipper in the world. With so...
Provided by Microsoft
-
White Papers
Visualization and Data Mining in an 3D Immersive Environment: Summer Project 2003
Jan 2010
This paper describes the application of some simple data-mining tools and visualization of the results in the NIST RAVE, an immersive 3D environment. The project builds upon several previous...
Provided by NIST
-
White Papers
Introduction to Data Analysis With Spreadsheets
Jan 2009
In this physics laboratory one will use computer spreadsheets to record and analyze the data. This lab is a tutorial which teaches one about spreadsheets in general and specifically introduces a...
Provided by University of Maryland
-
Webcasts
TechNet Webcast: SQL Server 2008 R2: Data Mining (Level 300)
May 2010
The presenter of this webcast examines the architecture and configuration of PowerPivot for SharePoint and explains how to properly install and configure PowerPivot for SharePoint on Microsoft...
Provided by Microsoft
-
White Papers
A Grad Student 'How-To' Paper on Grant Prep: Preliminary Data, Power Analysis, and Presentation
Mar 2010
Grant preparation is often challenging due to short timelines, changing study designs, and sample sizes limited by logistics and/or budget constraints. The author recently submitted a U-19 grant...
Provided by University of North Texas Health Science Center at Fort Worth
-
White Papers
Adding Statistical Functionality to the DATA Step With PROC FCMP
Mar 2010
How many times a person had to write a cumbersome workaround to do an analytical task inside a DATA step that would be easy if one could just call SAS from the DATA step? With the advent of PROC...
Provided by SAS Institute
-
White Papers
The MEANS/SUMMARY Procedure: Doing More
Mar 2010
The MEANS/SUMMARY procedure is a workhorse for most data analysts. It is used to create tables of summary statistics as well as complex summary data sets. The user has a great many options which...
Provided by SAS Institute
-
White Papers
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician
Mar 2010
For over 25 years, the SAS/IML programming language has been used by researchers and SAS programmers who write custom algorithms and analyses. Recently, SAS/IML Studio arrived with flashy...
Provided by SAS Institute
-
White Papers
Analyzing Interval-Censored Survival Data With SAS Software
Mar 2010
Survival data analysis is traditionally focused on analyzing lifetimes by using time that is measured to an event of interest, or the latest time available if the event did not occur during the...
Provided by SAS Institute
-
White Papers
Improving Your Statistical Consulting Prowess by Adding R to Your SAS Repertoire
Mar 2010
SAS is a powerful package with tremendous capabilities. However, no package contains every model, calculation, or graphics option. With SAS 9.2, it is easier to tap into the R programming...
Provided by University of Arkansas
-
White Papers
Improving Credit Risk Scorecards With Memory-Based Reasoning to Reject Inference With SAS Enterprise Miner
Apr 2010
Many business elements are used to develop credit scorecards. Reject inference, related to the issue of sample bias, is one of the key processes required to build relevant application scorecards...
Provided by SAS Institute
-
White Papers
Using "Recycled Predictions" for Computing Marginal Effects
Apr 2010
A conventional way to estimate the marginal effect of a risk factor is to omit the risk factor (e.g., gender, treatment) from the multivariate model and then use the omitted risk factor as...
Provided by University of California
-
White Papers
Fitting Linear and Nonlinear Growth Curve Models Using PROC NLMIXED
Jan 2010
Longitudinal data, or data that are repeated measurements on various subjects across time, are commonplace in everyday life. Multi-level mixed models are often used for analyzing longitudinal data...
Provided by University of Southern California (Marshall)
-
White Papers
It's All About Variation: Improving Your Business Process With Statistical Thinking
Mar 2010
This paper explains how statistical thinking and statistical process monitoring, which have been practiced in manufacturing for the past thirty years, are proving valuable for process improvement...
Provided by SAS Institute
-
White Papers
Using SAS Enterprise Miner 5.3 to Examine the Factor Such as Poverty Level in Different School Districts
Mar 2010
The U.S. Congress appropriates revenues for elementary and secondary education in the federal government's annual budget in the form of an appropriation. Title I is part of the federal Elementary...
Provided by University of Louisville
-
White Papers
Facilitating Genetic Analysis: SAS, the NHLBI and CARe
Mar 2010
Two common tasks for a SAS programmer are creating summary statistics and distributing data. Often, these are relatively benign tasks requiring only a handful of SAS statements but on the...
Provided by SAS Institute
-
White Papers
Getting Correct Results From PROC REG
Mar 2010
PROC REG, SAS's implementation of linear regression, is often used to fit a line without checking the underlying assumptions of the model or understanding the output. As a result, one can...
Provided by SAS Institute
-
White Papers
Providing a Central IT Platform for the Irish Statistical System: Implementing SAS BI in the Central Statistics Office, Ireland
Mar 2010
The paper discusses the key technical decisions made when providing the solution, focusing on data storage and management, provision for multi-location offices, choice of operating system, user...
Provided by SAS Institute
-
White Papers
The MEANS/SUMMARY Procedure: Getting Started
Mar 2010
The MEANS/SUMMARY procedure is a workhorse for most data analysts. It is used to create tables of summary statistiPcs as well as complex summary data sets. The user has a great many options which...
Provided by SAS Institute
-
White Papers
Principles of Proper Inferences From Complex Survey Data
Mar 2010
This paper discusses commonly-encountered features of complex survey datasets that should be accounted for by employing the SURVEY family of SAS procedures. Concepts of clustering, stratification,...
Provided by University of Maryland
-
White Papers
SAS for Green Energy Solutions in Smart Electric Grid Systems
Apr 2010
This research paper proposes a data-analytic approach for making optimum utilization of solar energy generated by solar photovoltaic panels to reduce peak demand on advanced electric grid systems....
Provided by North Carolina State University
-
White Papers
Data and Text Mining in SAS Warranty Analysis 4.2
Apr 2010
SAS Warranty Analysis 4.2 includes two analytics, Multivariate Statistical Drivers and Text Analysis, and the functionality Find Similar Comments in the Details Table analysis that use data mining...
Provided by SAS Institute
-
White Papers
Detecting Claim Fraud and Improving Product Quality: Case Studies in Reducing Warranty Costs
Apr 2010
Manufacturers are utilizing analytics to reduce service claim fraud and increase product quality, yielding warranty cost reductions over 20%. This presentation highlights case studies of...
Provided by SAS Institute
-
White Papers
Everything in Its Place: Efficient Geostatistical Analysis With SAS/STAT Spatial Procedures
Mar 2010
Got coordinates in the data? Feeling lost in space? Spatial data arise in a wealth of scientific fields; their stochastic structure poses unique analytical challenges that are different from most...
Provided by SAS Institute
-
White Papers
Survival Analysis: Overview of Parametric, Nonparametric and Semiparametric Approaches and New Developments
Mar 2010
Time to event data arise in several fields including biostatistics, demography, economics, engineering and sociology. The terms duration analysis, event-history analysis, failure-time analysis,...
Provided by Michigan State University
-
White Papers
An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure
Mar 2010
The PHREG procedure fits a number of models collectively known as Cox regression models, including the well-known Cox proportional hazards model. This paper provides an overview of several new...
Provided by SAS Institute
-
White Papers
Effective Visualization Techniques for Data Discovery and Analysis
Mar 2010
One of the best ways to understand data is through data visualization. The art of presenting data visually has matured from static graphs and dashboard widgets to interactive, animated graphs....
Provided by SAS Institute
-
White Papers
Optimizing Revenues in the Hospitality and Retail Industries: Comparing and Contrasting Different Industry Problems and How SAS Analytics Is Used to Solve Them
Apr 2010
With the acquisition of IDeaS by SAS in 2008, SAS now offers advanced revenue optimization solutions for both the retail (SAS Revenue Optimization Suite) and hospitality industries. This paper...
Provided by SAS Institute
-
White Papers
Analytics in the Converging Health and Life Sciences Industries: The Catalyst for the Next Generation of Healthcare
Mar 2010
Learn how analytics serves as a catalyst for both healthcare reform and the foundation for the next generation of healthcare. Understand the hurdles and opportunities presented as health...
Provided by SAS Institute
-
White Papers
Fraud Detection With SAS Data Mining
Apr 2010
Fraud is a significant problem in many industries, such as banking, insurance, telecommunication, and public service. Detecting and preventing fraud is difficult, because fraudsters develop new...
Provided by SAS Institute
