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Data Mining

Data Mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns such as association rules. It is a fairly recent topic in computer science but applies many older computational techniques from statistics, information retrieval, machine learning and pattern recognition.
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White Paper Published By: Intel Corp.     Published Date: Aug 08, 2012
Evaluator Group worked with HP to access the features, performance and enterprise capabilities of the HP StoreOnce B6200 Backup system. HP labs and equipment were utilized, with testing under the direction of on-site Evaluator Group personnel. Testing focused on validating high availability features, performance, and application integration.
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evaluator, group, storeonce, b5200, backup
    
Intel Corp.
White Paper Published By: Limelight Networks     Published Date: Jul 31, 2012
In this report you will learn how today's WCM platforms are fusing the best marketing automation practices with content management, allowing marketers to leverage content in new and innovative ways. Discover 10 of the top capabilities you should be considering for your website.
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web content management, wcm, it management, it support, cms
    
Limelight Networks
White Paper Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance
    
Red Hat, Inc.
Webinar Published By: VMWare - vFabric     Published Date: May 10, 2012
View this webcast to learn how to achieve real-time awareness by managing ever-increasing data volumes and transaction rates.
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vfabric, vmware virtualization, server virtualization, desktop virtualization, public cloud
    
VMWare - vFabric
White Paper Published By: Oracle     Published Date: Apr 03, 2012
This IDC study uses the IDC MarketScape model to assess capabilities of vendors to support complex process improvement scenarios using BPM software.
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3-6245825015, analytical applications, business intelligence, database development, data integration
    
Oracle
White Paper Published By: OpenText     Published Date: Dec 14, 2011
This white paper examines Enterprise Content Management challenges, solutions and benefits from an Energy industry perspective.
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large-scale, capital projects, energy, energy industry, content management
    
OpenText
White Paper Published By: Sybase     Published Date: Dec 01, 2011
Learn why Sybase IQ is purpose-built for predictive analytics.
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analytics software, analytics server, analytics server software, data warehousing, data mining
    
Sybase
White Paper Published By: EMC Corporation     Published Date: Nov 08, 2011
Read this whitepaper to learn about solutions like the EMC Data Domain Archiver and how it addresses many challenges organizations are struggling with
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retention, data retention, long-term, data domain archiver, backup
    
EMC Corporation
Free Offer Published By: Flashmaps     Published Date: Aug 16, 2011
Convert your databases into useful geospatial information in a snap! Interactive area maps of the world, USA, Canada, states, counties and more!
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flash maps, interactive maps, real-estate maps, world map, city map
    
Flashmaps
White Paper Published By: SAS     Published Date: Apr 13, 2011
Learn how organizations are using data mining to solve their problems, including a $1 billion decision that produced positive results.
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data mining, qualitative data, quantitative data, john f. elder, data quality
    
SAS
White Paper Published By: SAS     Published Date: Apr 13, 2011
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
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business intelligence, michael lock, predictive analytics, business insight, business visibility
    
SAS
White Paper Published By: SAP     Published Date: Mar 24, 2011
Nearly all companies realize that the way to gain a competitive advantage is to obtain better data, interpret them quickly, and distribute them in easier-to-use formats. However, there are many obstacles to the effective use of data and few companies surmount them all-a fact that results in a lot of unused corporate data. How are companies using information to beat their rivals and create a more level playing field? This report from the Economist Intelligence Unit examines how their practices are evolving and offers examples of data use at some highly successful companies.
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competitive advantage, corporate data, data use, data usage, business intelligence
    
SAP
White Paper Published By: SAP     Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dyché discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.
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data governance, data governance failure, data governance initiative, business intelligence, database development
    
SAP
White Paper Published By: IBM Software     Published Date: Feb 07, 2011
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.
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ibm cognos express, midsize companies, business intelligence, data mining, data warehouse
    
IBM Software
White Paper Published By: IBM Software     Published Date: Nov 02, 2010
Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy, and saving time and resources.
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ibm cognos predictive analysis, data mining, insurance fraud detection, analytical technique, prevention
    
IBM Software
White Paper Published By: IBM     Published Date: Aug 30, 2010
Proactive Data Management Controls Data Growth. To take control, organizations must begin with the conscious decision not to let data growth proceed unexamined.
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ibm, data growth, data management, database development, data integration
    
IBM
White Paper Published By: IBM     Published Date: Aug 30, 2010
Vendors in this market have been challenged in their attempts to gain market visibility and awareness for their products and for the benefits they can provide compared with just throwing more hardware at the problem.
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ibm, database application, vendor, data archiving, erp
    
IBM
White Paper Published By: SAS     Published Date: Aug 27, 2010
Forget spreadsheets. Organizations that are winning in this down economy are using automated analytical tools to take a more scientific approach to decision making through observation, experimentation and measurement to improve their business processes.
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sas, analytics software, business intelligence, data mining, automated analytical tools
    
SAS
White Paper Published By: SAS     Published Date: Aug 27, 2010
This report describes a research project that investigated how organizations are attempting to improve specific decisions.
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sas, data management, decision making, tom davenport, decision making
    
SAS
White Paper Published By: Vertica     Published Date: Aug 16, 2010
The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.
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vertica, ec2, elastic, cloud computing, workflow
    
Vertica
White Paper Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap
    
Vertica
White Paper Published By: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
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vertica, ec2, cdr, elastic, saas
    
Vertica
White Paper Published By: Vertica     Published Date: Mar 15, 2010
In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in hardware, storage and operational costs.
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vertica, ec2, cdr, elastic, saas
    
Vertica
White Paper Published By: Vertica     Published Date: Feb 23, 2010
Ovum takes a deep-dive technology audit of Vertica's Analytic Database that is designed specifically for storing and querying large datasets.
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ovum, vertica, analytical databases, dbms, technology audit
    
Vertica
White Paper Published By: Vertica     Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
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vertica, ec2, cdr, elastic, saas
    
Vertica
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