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data mining - analysis
(2154 results)-
Whitepapers
Forrester Strategies for Assessing IT Business Satisfaction
Oct 2009
If you aren't assessing customer satisfaction you are overlooking a potential goldmine. This valuable data is crucial to creating a successful IT strategy. But where do you start? This new...
Provided by Citrix Online
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Whitepapers
Best Practices for Translating Customer Satisfaction into Revenue
Nov 2009
Today's support organisations are focused on two top-level metrics: financial results and customer satisfaction. For most, it's easy to track financial performance, but customer satisfaction is...
Provided by Citrix Online
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Whitepapers
Support Strategies: Customer Experience Management
Nov 2009
Customer experience is the most powerful tool available today for distinguishing your company from competitors ? each contact with the customer offers an opportunity for strengthening your...
Provided by Citrix Online
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Research
Optimize your performance with the Smart Work Advisor
Nov 2009
Smart Work Advisor shows how businesses can optimize their performance by providing a decision tree they can use to adapt dynamically, collaborate more effectively and connect people and processes...
Provided by IBM
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White Papers
Designing High Availability for SQL Server 2005
Nov 2009
The end of downtime, period! Job No. 1 for database administrators (DBAs) is making sure that the data they're responsible for is available all the time.That's because for anyone who implements...
Provided by CA XOsoft
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Whitepapers
Open Standards and Cloud Computing KDD-2009 Panel Report
Jul 2009
A panel on open standards and cloud computing addressed emerging trends for data mining applications in science and industry. This paper summarizes the answers from a distinguished group of...
Provided by IBM
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Whitepapers
The Definitive Guide for Midsize Organizations
May 2008
Business intelligence is not a new concept; it's been used for years by IT staffers in large enterprises with the budgets to support it. What's new is the fact that business intelligence tools are...
Provided by SAP
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White Papers
Data Management for Business Intelligence
Mar 2008
As the sheer amount of information available for Business Intelligence (BI) applications has grown, and the sophistication of BI capabilities has accelerated, organizations are striving to improve...
Provided by SAP
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White Papers
Operational excellence: Enabling sustained growth Spotlight on the Americas
May 2008
The Americas should be a hotbed operational excellence activity. The scientists and businessmen who first applied statistics to process improvement—Deming, Taylor and others—hailed from the United...
Provided by SAP
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White Papers
Expanding BI's role
Dec 2009
In today's economic downturn, organizations are looking for ways to improve the way they do business to keep ahead of the competition and grow revenue. The path to success in all of these areas,...
Provided by SAP
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Whitepapers
Performance Analysis of Datagram Congestion Control Protocol (DCCP)
Oct 2011
Applications like streaming audio, Internet telephony and multi-player online games prefer timeliness in packet delivery to reliability. TCP's reliability through packet retransmission and abrupt...
Provided by International Journal of Computer Theory and Engineering (IJCTE)
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Whitepapers
Data Mining Ethics in Privacy Preservation - A Survey
Aug 2011
When most people think of ethics or morality, it refers to well-defined standards of right and wrong, usually in terms of rights, obligations, and benefits to society, fairness, or specific...
Provided by International Journal of Computer Theory and Engineering (IJCTE)
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Whitepapers
Using a Cellular Automaton to Extract Medical Information From Clinical Reports
Mar 2012
An important amount of clinical data concerning the medical history of a patient is in the form of clinical reports that are written by doctors. The authors describe patients, their pathologies,...
Provided by KIPS
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Whitepapers
Mining Closed Frequent Intervals From Interval Data
Jun 2012
Interval data is widely encountered in several areas of data mining applications. In the context of discovering interesting temporal patterns in interval data, the notion of closed frequent...
Provided by Kurukshetra University
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Whitepapers
Sole-sourcing BI from your ERP vendor: IT convenience or strategic business decision?
Jul 2009
During the last several years, the pressure of commoditization and the desire of the enterprise technology conglomerates to expand into new fast-growing growth markets have led to BI market...
Provided by IBM
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Whitepapers
Ready or not, here comes the cloud
Oct 2009
Clouds do many things well, but fixing performance problems isn't one of them. For that you need a world-class application server. Learn how application delivery problems continue to frustrate IT...
Provided by Oracle
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Whitepapers
Finding Representative Association Rules From Large Rule Collections
Jan 2009
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing data-mining methods can...
Provided by IBM
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Case Studies
Grocery Retailer Uses Business Intelligence to Strengthen Supplier Negotiations
Dec 2009
Grocery retailer Waitrose needed a more efficient business intelligence solution to support buyers' daily decisions. It designed a solution based on Microsoft technologies, which pulls reporting...
Provided by Microsoft
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Case Studies
Rizzoli Orthopaedic Institute Looks for Genetic Insights in the Family Tree
Nov 2009
Italy's Rizzoli Orthopaedic Institute sought stronger tools to study the genetic underpinnings of rare hereditary bone diseases. Rizzoli engaged IBM Research to develop a first-of-a-kind pedigree...
Provided by IBM
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Case Studies
Farmaceuticos Maypo S.A. de C.V. Improves Data Analysis and Information Services to Client Labs
Nov 2009
Farmaceuticos Maypo S.A. de C.V. wanted to consolidate internal information and information of affiliated laboratories to provide a total view of data, and accelerate availability of reliable,...
Provided by Oracle
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White Papers
Performance Improvement of Model Building in Oracle 11.1 Data Mining
May 2008
For many successful enterprises, data mining applications drive business initiative and generate revenue opportunities. The performance of data mining applications directly impacts their bottom...
Provided by Oracle
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White Papers
Advanced Data Mining and Integration Research for Europe ADMIRE White Paper: Motivation, Strategy, Overview and Impact Version 0.8 (draft)
Oct 2008
The rapidly growing wealth, complexity and diversity of data open many new opportunities in business, research, design, policy formulation and decision making. These opportunities will not be...
Provided by University of Edinburgh
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White Papers
Peer to Peer Botnet Detection for Cyber-Security: A Data Mining Approach
May 2008
Botnet is a network of compromised hosts or bots, under the control of a human attacker known as the botmaster. Botnets are used to perform malicious actions, such as launching DDoS attacks,...
Provided by Association for Computing Machinery
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White Papers
ShatterPlots: Fast Tool for Mining Large Graphs
Dec 2008
Graphs appear in several settings, like social networks, recommendation systems, and numerous more. A deep, recurring question is "How do real graphs look like?" That is, how can one separate real...
Provided by Carnegie Mellon University
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White Papers
Estimating the Socio-Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
Sep 2008
This paper is the first study that integrates econometric, text mining, and predictive modeling techniques toward a more complete analysis of the information captured by user-generated online...
Provided by New York University
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White Papers
KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems
Nov 2007
This paper introduces a software tool named KEEL, which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification,...
Provided by University of Granada
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White Papers
The Controversies Over Data Mining and Warrantless Searches in the Wake of September 11
Mar 2008
In 2004, the Congress voted to end funding for a Defense Advanced Research Projects Agency (DARPA) data mining program called Total Information Awareness (TIA) that was supposed to be used for...
Provided by Indiana University
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White Papers
Visual Mining of Multimedia Data for Social and Behavioral Studies
Mar 2008
This paper proposes a new framework of visual mining of multimedia data. The key idea is to integrate data visualization and data mining. Based on this idea, it has developed a prototype system...
Provided by Indiana University
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White Papers
Time Series Shapelets: A New Primitive for Data Mining
Jul 2009
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm is very difficult...
Provided by Association for Computing Machinery
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White Papers
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
Aug 2008
Computing global data mining models e.g. decision trees; kmeans clustering in large distributed systems may be very costly due to the scale of the system and due to communication cost, which may...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Mining Concept-Drifting Data Stream to Detect Peer to Peer Botnet Traffic
Mar 2008
It proposes a novel stream data classification technique to detect Peer to Peer botnet. Botnet traffic can be considered as stream data having two important properties: infinite length and...
Provided by Association for Computing Machinery
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White Papers
Deriving Private Information From Association Rule Mining Results
Mar 2009
Data publishing can provide enormous benefits to the society. However, due to privacy concerns, data cannot be published in their original forms. Two types of data publishing can address the...
Provided by Syracuse University
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White Papers
Optimizing Interval Training Protocols Using Data Mining Decision Trees
May 2009
Interval training consists of interleaving high intensity exercises with rest periods. This training method is a well known exercise protocol which helps strengthen and improve one's...
Provided by University of California
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White Papers
Parameter-Free Spatial Data Mining Using MDL
Jan 2009
Consider spatial data consisting of a set of binary features taking values over a collection of spatial extents (grid cells). It proposed a method that simultaneously funds spatial correlation and...
Provided by University of Helsinki
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White Papers
Delay-Coordinates Embeddings as a Data Mining Tool for Denoising Speech Signals
Feb 2008
This paper utilizes techniques from the theory of non-linear dynamical systems to define a notion of embedding threshold estimators. More specifically it uses delay-coordinates embeddings of sets...
Provided by George Mason University
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White Papers
What Every Campus Leader Needs to Know About Analytics
Mar 2008
The purpose of this White Paper is to help campus leaders understand the principles, potentials, and pitfalls of deploying enterprise analytics in higher education. It describes the evolution of...
Provided by Strategic Initiatives
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White Papers
Mobility Prediction of Mobile Users in Mobile Environment Using Knowledge Grid
Jan 2009
This paper proposes a new distributed algorithm named KMPM (Knowledge Grid Based Mobility Pattern Mining) for mining next location of a mobile user in a Personal Communication Systems (PCS)...
Provided by Anna University
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Whitepapers
A Personalized Product Based Recommendation System Using Web Usage Mining and Semantic Web
Apr 2012
To be globally competent and competitive a successful presence on the web is necessary to sustain and retain itself in the market. The WWW is an interesting area for data mining because of...
Provided by International Journal of Computer Theory and Engineering (IJCTE)
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White Papers
Oracle Essbase - Not Just for Financial Analytics
Dec 2009
Oracle Essbase is not just for financial analytics anymore. By expanding its use beyond the Finance department, one will begin to see the true value of this flexible and functional tool. This...
Provided by Business Intelligence Consulting Group
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Whitepapers
IBM Cognos Express: Essential BI and Planning for Midsize Companies
Aug 2009
Read about IBM Cognos® Express is the first and only integrated business intelligence (BI) and planning solution purpose-built to meet the needs of midsize companies, delivering essential...
Provided by IBM
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Whitepapers
Prediction of Course Selection by Student Using Combination of Data Mining Algorithms in E-learning
Feb 2012
Course recommender system aims at predicting the best combination of courses selected by students. Here in this paper, the authors present how the combination of clustering algorithm-Simple...
Provided by International Journal of Computer Applications
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Whitepapers
Graph Based Approach for Mining Frequent Sequential Access Patterns of Web Pages
Feb 2012
The Internet has impacted almost every aspect of users' society. Since the number of web sites and web pages has grown rapidly, discovering and understanding web users' surfing behavior are...
Provided by International Journal of Computer Applications
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Whitepapers
Secured Transaction with Efficient Mining and Prediction in Mobile Commerce
Apr 2012
In this paper, the authors explore a new data mining capability and security for a mobile commerce environment. M-commerce is a major application domain for mobile devices, enabling users to...
Provided by IOSR Journal of Engineering
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Whitepapers
An Overview on Clustering Methods
Apr 2012
Clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics....
Provided by IOSR Journal of Engineering
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Whitepapers
Improving Computational Efficiency of Tentative Data Set
Jun 2012
The aim of data mining is to find novel, interesting and useful patterns from data using algorithms that will do it in a way that is more computational efficient than previous method. Current data...
Provided by IOSR Journal of Engineering
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Whitepapers
Association Rule for Privacy Preserving in Data Mining
Dec 2012
Data mining is the computer oriented process to evaluate vast database and extract the meaning of the data. Privacy is inter-related with secrecy and anonymity. Thus privacy preserving in data...
Provided by Creative Commons
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Whitepapers
Analyzing Cognitive Skills Through Data Mining
Dec 2012
This is theoretical modeling and algorithmic paper about cognitive processing of human brain by using data mining techniques. This paper discusses the challenges associated with cognitive...
Provided by Creative Commons
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Whitepapers
Knowledge Discovery in Online Repositories: A Text Mining Approach
Oct 2008
Before the advent of the Internet, the newspapers were the prominent instrument of mobilization for independence and political struggles. Since independence in Nigeria, the political class has...
Provided by EuroJournals
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Whitepapers
A Grid-Based Distributed SVM Data Mining Algorithm
Feb 2009
Distribution of data and manipulation allows for solving larger problems and executing applications that are distributed in nature. In this paper, the authors present a grid-based distributed...
Provided by EuroJournals
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Whitepapers
Bit Stream Mask-Search Algorithm in Frequent Itemset Mining
Feb 2009
Association Rules in data mining are generated by identifying relationships among set of items in transaction database. Finding frequent itemsets is computationally the most expensive step in...
Provided by EuroJournals
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Whitepapers
Intelligent Vehicle Crash Data Analysis Using Software Defined Radio
May 2009
The field of intelligent vehicles is growing rapidly worldwide, in terms of both the diversity of applications emerging, and the level of interest among traditional players in the automotive,...
Provided by EuroJournals
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Whitepapers
Expectation Maximization Clustering Algorithm for User Modeling in Web Usage Mining Systems
Jun 2009
To provide intelligent personalized online services such as web recommender systems, it is usually necessary to model users' web access behavior. To achieve this, one of the promising approaches...
Provided by EuroJournals
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Whitepapers
Mining Approximate Functional Dependencies from Databases Based on Minimal Cover and Equivalent Classes
Jul 2009
Data Mining (DM) represents the process of extracting interesting and previously unknown knowledge from data. Approximate Functional Dependencies (AFD) mined from database relations represent...
Provided by EuroJournals
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Whitepapers
Discovering Decision Algorithm of Numerical Distance Relay Using Rough-Set-Theory-Based Data Mining
Jul 2009
In this paper, a novel computational implementation technique of rough-set-theory-based data mining in analyzing the operation of a numerical distance protective relay, which is an integral part...
Provided by EuroJournals
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Whitepapers
Mining Constraint-Based Multidimensional Frequent Sequential Pattern in Web Logs
Oct 2009
In this paper, the authors introduce an efficient strategy for discovering Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to...
Provided by EuroJournals
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Whitepapers
Data Mining: Application, Handling and Future
Feb 2012
Data mining is a chunk of a process/procedure called KDD stands for knowledge discovery in current databases. This practice entails fundamentally of phases that are accomplished earlier/before...
Provided by International Journal of Multidisciplinary Sciences and Engineering (IJMSE)
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Whitepapers
Solving Probation and Change-of-Major Issues in Higher Education Using Data Mining Techniques
Nov 2012
The rate of success in higher education is of utmost importance for both students and academic institutions. Indeed, it is a turning point in the students' life and a prerequisite for entering the...
Provided by International Journal of Multidisciplinary Sciences and Engineering (IJMSE)
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eBooks
A Smarter Approach: Inside IBM Business Analytics Solutions for Mid-Size Businesses
Feb 2013
Large enterprises have come to live, eat, and breathe analytics. Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the...
Provided by IBM
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Whitepapers
Exploiting Need of Heterogeneous Data Mining Environment Based on Mobile Computing Environments
Nov 2010
Today the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge...
Provided by International Journal of Computer Applications
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Whitepapers
A Novel Progressive Sampling Based Approach for Effective Mining of Association Rules
Nov 2010
Mining Association Rules from huge databases is one of the important issues that need to be addressed. This paper presents a new sampling based association rule mining algorithm that uses a...
Provided by International Journal of Computer Applications
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Whitepapers
Density Conscious Subspace Clustering for High Dimensional Data Using Genetic Algorithms
Nov 2010
Clustering has been recognized as an important and valuable capability in the data mining field. Instead of finding clusters in the full feature space, subspace clustering is an emergent task...
Provided by International Journal of Computer Applications
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Whitepapers
Mining Maximal Frequent Item Sets
Nov 2010
Data mining or Knowledge Discovery in Databases (KDD) is a collection of exploration techniques based on advanced analytical methods and tools for handling a large amount of information. Mining...
Provided by International Journal of Computer Applications
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Whitepapers
A Method for Cross-Language Retrieval of Chunks Using Monolingual and Bilingual Corpora
Nov 2010
Information Retrieval (IR) is a crucial area of Natural Language Processing (NLP) and can be defined as finding documents whose content is relevant to the query need of a user. Cross-Language...
Provided by International Journal of Computer Applications
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Whitepapers
Efficient Tree Based Distributed Data Mining Algorithms for Mining Frequent Patterns
Nov 2010
Advancements in the field of wired and wireless network environments have paved route to the advent of many dynamic distributed computing environments. These environments have diverged computing...
Provided by International Journal of Computer Applications
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eBooks
zEnterprise Delivers on the Promise of Business Analytics
Feb 2013
All organizations - no matter what size or in what industry - are focused on generating more revenue, minimizing waste, reducing risk, and identifying new business opportunities with more...
Provided by IBM
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Whitepapers
Multithreaded Fuzzy Logic Based Web Services Mining Framework
Sep 2010
Web is evolving from the time of its birth. It is transformed from static information to dynamic pages and the future of web is service oriented. Service providers started publishing services on...
Provided by EuroJournals
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Whitepapers
Refinement of Web Usage Data Clustering From K-Means with Genetic Algorithm
Sep 2010
Web usage mining involves application of data mining techniques to discover usage patterns from the web data. Clustering is one of the important functions in web usage mining. Recent attempts have...
Provided by EuroJournals
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Whitepapers
Data Mining Model for Higher Education System
Jun 2010
Data mining is used to extract meaningful information and to develop significant relationships among variables stored in large data set/data warehouse. In this paper, data mining technique named...
Provided by EuroJournals
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Whitepapers
A Hybridized Rough-PCA Approach of Attribute Reduction for High Dimensional Data Set
Aug 2010
Owing to the development of novel techniques for generating and collecting data, the rate of growth of scientific databases has become tremendous, which creates both a need and an opportunity to...
Provided by EuroJournals
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Whitepapers
Performance Evaluation of K-Means and Fuzzy C-Means Clustering Algorithms for Statistical Distributions of Input Data Points
Nov 2010
Data mining approach and its technology used to extract the unknown pattern from the large set of data for the business and real time applications. The unlabeled data from the large data set can...
Provided by EuroJournals
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Whitepapers
Knowledge Mining From Student Data
Nov 2010
Over the years, several statistical tools have been used to analyze students' performance from different points of view. This paper presents data mining in education environment that identifies...
Provided by EuroJournals
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Whitepapers
Study of Data Mining Approach for Mobile Computing Environment
Dec 2012
Efficient data mining techniques are required to discover useful information and knowledge. This is due to the effective involvement of computers and the improvement in Database Technology which...
Provided by Engg Journals Publications
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Whitepapers
Data Grid Mining of Mobile User Behaviors in Web Environments
Feb 2011
Mobile E-Commerce provides location-based services to mobile users in web environments. One of the best ways to personalize mobile services is based on location. In this paper, the authors propose...
Provided by EuroJournals
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Whitepapers
Analysis of Data Acquisition From Multisensors Using a 0.11 GHz Frequency Modulation Telemetry
Jan 2011
Data AcQuisition (DAQ) and control system using telemetry method presents many advantages. In this paper, the authors have realized and analyzed low cost DAQ from multisensors using a 0.11 GHz...
Provided by EuroJournals
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Whitepapers
Utility FP-Tree: An Efficient Approach to Mine Weighted Utility Itemsets
Feb 2011
Conventional association rules mining cannot satisfy the demands emerging from certain real applications. By regarding the diverse values of distinct items as utilities, utility mining...
Provided by EuroJournals
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Whitepapers
An Evolutionary Approach for Ruleset Selection in a Class Based Associative Classifier
Apr 2011
Associative classification is an emerging technique to build an accurate classifier that integrates two popular data mining techniques namely association rule mining and classification. Recent...
Provided by EuroJournals
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Whitepapers
An Efficient Approach of Noise Removal From Web Page for Effectual Web Content Mining
Apr 2011
By employing traditional search engines, it has become increasingly hard to explore for appropriate information, as web keeps on growing. From the content of web pages, mining of web contents aims...
Provided by EuroJournals
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Whitepapers
Segmentation Based Sequential Pattern Mining in Temporal Databases
Feb 2011
Mining periodic patterns in temporal database is an important data mining problem with many applications. Previous studies have considered sequential periodic patterns where misaligned occurrences...
Provided by EuroJournals
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Whitepapers
An Efficiency Analysis of Projects Using DEA
May 2011
This paper presents a model to measure the efficiency of products produced by organization. The products are the projects carried out by the selected organization. The model which has been...
Provided by EuroJournals
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Whitepapers
An Ontological Framework for Improving the Online Recommendation System Using Bees Intelligence
Apr 2011
With the increasing popularity of web, the authors have witnessed explosive growth in the data accessible on the web. It become mandatory for all kind of websites to provide personalized access of...
Provided by EuroJournals
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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White Papers
How to Establish an Analytical Center of Excellence to Maximize the Value From Your Data and Analytics Investment
Mar 2010
In order for organizations to make the most of their data assets and to survive and continue to grow in the current economic conditions, the deployment and use of analytics are becoming more...
Provided by SAS Institute
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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
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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
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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
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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
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White Papers
SAS Enterprise Guide: The Self-Service Environment for Reporting and Analytics
Mar 2010
With the ever-increasing demand for timely business intelligence, business analysts require simple tools for reporting and analytics, which liberates IT. SAS Enterprise Guide provides a...
Provided by SAS Institute
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White Papers
Investigating the Impact of Medicare, Part D on the Diabetes Medications Using Enterprise Miner and Survival Analysis
Mar 2010
The purpose of this paper is to examine the influence of Medicare, Part D on diabetes medications since its introduction in 2006, with the prescribed medicines data from the Medical Expenditure...
Provided by University of Louisville
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White Papers
More Than Models: The Data Mining Team
Mar 2010
Gathering data from various sources, preparing it for modeling, imputing, partitioning, testing various models, choosing the best, presenting it to one's boss, then failure? Data mining is about...
Provided by Rochester Institute of Technology
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White Papers
The Power of the Group Processing Facility in SAS Enterprise Miner
Mar 2010
The group processing facility in SAS Enterprise Miner is useful when the data can be segmented or grouped, and one wants to process the grouped data in different ways. It uses BY-group processing...
Provided by SAS Institute
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White Papers
Segmenting Textual Data for Automobile Insurance Claims
Mar 2010
Text-based data contains a wealth of information. They can provide insight into information that may not be possible with structured quantitative data. In this paper, actual textual data is...
Provided by SAS Institute
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White Papers
Getting the Right Report (Again): Your Compatibility Guide for ODS PDF 9.2
Mar 2010
ODS PDF in SAS 9.2 looks and acts different from earlier versions. Why? What changed? How can the author maintain the same look that he likes? This paper written in collaboration with SAS...
Provided by SAS Institute
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White Papers
The Applied Use of Population Stability Index (PSI) in SAS Enterprise Miner
Mar 2010
This paper describes how to develop the technical components necessary to calculate Population Stability Index (PSI), implement PSI into a SAS Enterprise Miner extension node, and interpret the...
Provided by SAS Institute
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White Papers
A Nonparametric Method to Assess Treatment Effects for Unbalanced Designs Using SAS/IML
Mar 2010
Two-way randomized block designs with non-normally distributed outcomes may be frequently encountered by researchers. The nonparametric test developed by Friedman can be used to compare more than...
Provided by University of Pittsburgh
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White Papers
Building Decision Trees From Decision Stumps
Mar 2010
Decision stumps are simple one layer decision trees using all the same settings as the typical decision trees. However, most decision stumps are not useful in prediction on their own. To produce...
Provided by University College Dublin
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White Papers
Analysis of Survival Data With Recurrent Events Using SAS
Mar 2010
This paper presents the application of survival analysis methods using SAS/STAT to a large clinical trial, which was designed to test the treatment effect on preventing recurrent stroke and...
Provided by University of Michigan (Ross)
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White Papers
Using the SAS System and SAS Enterprise Miner for Data Mining: A Study of Cancer Survival at Mayo Clinic
Apr 2010
This paper evaluates and predicts a certain epidemiological (cancer survival) condition using data-mining techniques in SAS. A data set that contains information about the survival of lung-cancer...
Provided by University of Kentucky
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White Papers
Not Hazardous to Your Health: Proportional Hazards Modeling for Survey Data With the SURVEYPHREG Procedure
Mar 2010
The Cox proportional hazards model is widely used in practice to estimate the effects of covariates on survival function. The SAS/STAT PHREG procedure is a long-standing workhorse for performing...
Provided by SAS Institute
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White Papers
Ideas and Examples in Generalized Linear Mixed Models
Mar 2010
This paper discusses generalized mixed models. The word "Mixed" refers to models with random effects. The word "Generalized" refers to nonnormal distributions for the response variable. Two of the...
Provided by North Carolina State University
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White Papers
Applications of Proc ESM in SAS 9.2
Mar 2010
In this paper the various facilities of Proc ESM in SAS 9.2 will be demonstrated using a dataset of 87789 registrations of the speed of passing cars on a highway near Copenhagen. Proc ESM (for...
Provided by University of Copenhagen
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White Papers
An Introduction to Multiple Imputation of Complex Sample Data Using SAS v9.2
Mar 2010
This paper presents practical guidance on the proper use of multiple imputation tools in SAS 9.2 and the subsequent analysis of multiple imputed data sets from a complex sample survey data set....
Provided by University of Michigan (Ross)
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White Papers
GLIMMIX Adds a New Level to the Analysis of Multilevel Community Data
Mar 2010
Community intervention study is often at the cluster level such as school, church or baseball clubs and may even have clusters within a cluster. For example, in the strike out study, individual...
Provided by University of Arkansas
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White Papers
Integrate JMP With SAS to Create an Automated Workflow Application for Analyzing, Processing and Reporting of 96 Well Plate Format Fluorescence Microplate Reader Data
Apr 2010
One of the many challenges facing drug discovery and high throughput biology within the pharmaceutical research and development groups is the effective management of repetitive and time consuming...
Provided by SAS Institute
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Using the SAS Survey Procedures for Subpopulation Analysis With Jackknife Repeated Replication Methods in SAS 9.2
Mar 2010
In the analysis of complex sample data, Jackknife Repeated Replication is a method to estimate the variance of a statistic that can result in substantially reduced variance when compared to...
Provided by SAS Institute
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Building Latent Growth Models Using PROC CALIS: A Structural Equation Modeling Approach
Mar 2010
This paper illustrates the structural equation modeling approach of building Latent Growth Models (LGMs) using PROC CALIS. In the past decade, LGM has become one of the commonly used statistical...
Provided by Nanyang Technological University
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Bridging the Gap Between the Google Analytics API and SAS
Mar 2010
Third parties which collect the data generally offer an acceptable reporting piece which provides the general public with a good sense of the how, when, where, and why. For those of them that want...
Provided by Capella University
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The Power of Personalisation With JMP
Mar 2010
Whether its used alone or in conjunction with other SAS technologies, JMP is often promoted as a point-and-click environment whose unique features allow informed users to get value from their data...
Provided by SAS Institute
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Introducing PROC PLM and Postfitting Analysis for Very General Linear Models in SAS/STAT 9.22
Mar 2010
SAS/STAT software provides many powerful methods to fit general linear models with complicated effects. Some SAS/STAT procedures also enable one to estimate, test, compare, or plot functions of...
Provided by SAS Institute
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White Papers
Visual Displays of Regression Toward the Mean Using SAS SGplot
Mar 2010
Regression toward the mean is a widespread phenomenon in statistics and may adversely affect researchers' substantive interprettion of findings. Therefore, it is worthwhile to evaluate the extent...
Provided by Arizona State University
