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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: Synaptris Pvt Ltd.     Published Date: Aug 31, 2010
5 Must Haves in your Information Management Strategy
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real time reporting, real time reports, on demand reporting, on demand reports, information management strategy
    
Synaptris Pvt Ltd.
White Paper Published By: IBM     Published Date: May 29, 2015
Learn how innovative communications service providers are extracting value from uncertain data through this whitepaper!
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big data, mobility, compute-intensive apps, virtualization, cloud computing
    
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: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics
    
IBM
White Paper Published By: Quocirca     Published Date: Feb 28, 2011
How automation can help small and mid-sized businesses manage expenses
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finance, mobility, expenses, business intelligence, data mining
    
Quocirca
White Paper Published By: Dell     Published Date: Jul 30, 2012
Backing up Microsoft Hyper-V virtualized servers involves different steps than the familiar VMware servers. So how exactly is Hyper-V backup different? Check out this FAQ Guide to learn the challenges of backing up Hyper-V virtualized servers.
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hyper-v, microsoft, vmware, server, vss
    
Dell
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: 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: Siperian     Published Date: Jan 24, 2007
Discover the essential steps to delivering a solid business case for the right customer-centric MDM architecture and achieve maximum ROI.
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roi, data management, return on investment, master data management, mdm
    
Siperian
White Paper Published By: Dell Storage     Published Date: Nov 02, 2011
Private cloud computing advances the delivery of efficient, agile IT infrastructure allowing enterprises to plan incremental enhancements to existing infrastructure, and the right SAN.
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technology, dell, san foundation, cloud deployment, data center
    
Dell Storage
Case Study Published By: Vertica     Published Date: Jul 23, 2008
Read how Comcast, the largest cable communications company in the U.S., is using Vertica Analytic DBMS able to quickly collect and analyze data being generated by millions of network devices to ensure quality of service and accuracy of capacity planning to ensure a consistently good customer experience.
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vertica, comcast, data analysis, proliant, rdmbs
    
Vertica
Case Study Published By: Vertica     Published Date: Jan 19, 2010
Pink OTC Market Inc. is the third largest U.S. equity trading marketing place. Learn how Pink OTC built a highly available and highly reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
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pink, adr, data warehousing, vertica, dbms
    
Vertica
Case Study Published By: Vertica     Published Date: Dec 09, 2008
BlueCrest Capital Management is a leading European hedge fund, with $15B in assets-under-management. Learn how BlueCrest uses Vertica Analytic DBMS to obtain real-time analysis while simultaneously loading vast amounts of new market data.
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vertica, data management, data warehousing, dbms, data mining
    
Vertica
White Paper Published By: Clarabridge     Published Date: Dec 06, 2006
This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.
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business intelligence, data warehousing, data mining, content integration, content management system
    
Clarabridge
White Paper Published By: M3 Consulting, Inc.     Published Date: Feb 03, 2011
Offshoring Is a Cost Effective Solution to Your IT Needs
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software design, application development, web design, offshoring, it solutions
    
M3 Consulting, Inc.
White Paper Published By: Informatica     Published Date: Oct 26, 2007
The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions – with similar results. There are thousands of business process steps in a typical enterprise where pervasive BI insights can be added. What are leading companies doing with pervasive BI?
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business intelligence, database, enterprise data warehouse, data mart, data warehouse
    
Informatica
White Paper Published By: Vertica     Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
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vertica, ec2, cdr, elastic, saas
    
Vertica
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: 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: Burton Group     Published Date: Jul 07, 2008
Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
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modeling, data modeling, data management, data mining, business intelligence
    
Burton Group
White Paper Published By: Adobe     Published Date: Oct 29, 2015
This white paper will help you assess your organisations current data driven marketing capabilities and will teach you what you need to do to deliver exceptional customer experiences with positive ROI.
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data-driven marketing, online marketing, digital marketing, digital maturity, marketing
    
Adobe
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: Distributive Management     Published Date: Jun 19, 2007
DataDrill EXPRESS is known for being the most capable web-based performance dashboard tool available for software and IT projects and organizations, automating every aspect of performance measurement.
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datadrill, distributive management, brochure, performance management, data collection
    
Distributive Management
White Paper Published By: Adobe     Published Date: Oct 29, 2015
This white paper will help you assess your organisations current data driven marketing capabilities and will teach you what you need to do to deliver exceptional customer experiences with positive ROI.
Tags : 
data-driven marketing, online marketing, digital marketing, digital maturity, marketing
    
Adobe
White Paper Published By: Dell     Published Date: Oct 21, 2008
Dell's automated deployment solution meets the challenges that IT managers face, according to Windows expert and author Jerry Honeycutt.
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dell, dell automated deployment, automated deployment solution, challenges of deploying to vista, data management
    
Dell
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