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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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Results 1 - 25 of 27 matches |
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In the ForwardView article, you'll learn how Business Intelligence (BI) solutions provide greater visibility across the entire business to help you spot trends in real time.
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Businesses now demand more information, they want it sooner, and they are delivering more analytics to an ever-widening set of users and applications. The sizes of data warehouses are growing exponentially and more business processes are becoming automated, while more data is collected on more granular levels. This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
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Facing tough IT decisions? Get insight from midsize businesses like yours.
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| By : Tripwire |
Published Date: Jun 30, 2009 |
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Learn the 5 core competencies of compliance and how to institute an automated compliance solution.
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| By : SPSS |
Published Date: Jun 30, 2009 |
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The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte." This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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| By : SPSS |
Published Date: Jun 30, 2009 |
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This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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| By : Catapult |
Published Date: Apr 23, 2009 |
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Software-as-a-Service is changing the way companies purchase technology solutions. Rather than securing large capital budgets and tying up IT labor for months, business executives can now address mission critical initiatives with subscription-based software solutions that scale with their business and can be implemented in little to no time.
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What are the long-term costs of bad data? This white paper gives you the answers and tells you how to fix it.
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Learn what a Web Service is and how it works, the advantages of using a Data Quality Web Service, the technology assessment for implementation, and several case studies (Saab and other real world case studies) to demonstrate real life successes.
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Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
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| By : Dell |
Published Date: Oct 21, 2008 |
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Dell's automated deployment solution meets the challenges that IT managers face, according to Windows expert and author Jerry Honeycutt.
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| By : HP SAS |
Published Date: Oct 15, 2008 |
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SAS Grid Computing delivers enterprise-class capabilities that enable SAS applications to automatically leverage grid computing, run faster and takes optimal advantage of computing resources. With grid computing as an automatic capability, it is easier and more cost-effective to allocate compute-intensive applications appropriately across computing systems. SAS Grid Manager helps automate the management of SAS Computing Grids with dynamic load balancing, resource assignment and monitoring, and job priority and termination management.
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| By : HP SAS |
Published Date: Sep 24, 2008 |
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Designed for CIOs, IT managers, data center managers and grid computing architects seeking to improve performance, SAS Grid Computing on the HP BladeSystem. C-Class helps accelerate growth and mitigate risks with a simplified, consolidated infrastructure that’s agile enough to efficiently handle change. SAS Grid Manager on HP BladeSystem can lower costs through automation, virtualization and improved IT efficiency. Download HP's "Quick Sizing Guide for SAS Grid running on HP BladeSystem and EVA Storage" to learn more about the equipment needs to deploy SAS Grid Manager on HP BladeSystem.
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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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Seeing into the hearts and minds of our customers is impossible; but this article describes how Data Mining techniques can be used to create strategies and tactics to increase customer retention and value.
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Use the IDS Low Administration ROI tool to assess potential savings and expenses in deploying IBM Informix Dynamic Server 11.
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| By : Bocada |
Published Date: Aug 21, 2009 |
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This strategic view is the proverbial "gold" that can be mined from your data protection systems; it is the asset that will enable IT management to prioritize activity to bring activities in line with business objectives and communicate policy compliance to corporate officers and data owners.
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| By : HP |
Published Date: Aug 21, 2009 |
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Microsoft Windows-based applications and data are growing in size and complexity, reaching the limits of their architecture and scalability. Download this whitepaper to read the benefits of updating database applications to the Microsoft SQL Server 2005 platform with the HP Integrity family of 64-bit servers.
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Applying structured data management principles to a firm’s content is a means to derive business advantage from unstructured corporate content. This ESG report highlights the key business and technology objectives of archiving stakeholders across the organization as well as the requirements for delivering a content archiving strategy and infrastructure.
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| By : Genpact |
Published Date: Oct 15, 2008 |
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This technique is a time reducing and one which searches through various transformations to check for the best fit of a variable to the dependent variable. On comparing it with a very accepted method of a reputed firm, we have seen this new technique working wonders
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While disk-to-disk (D2D) backup systems have been widely accepted as functionally superior to tape, they still carry a significant cost penalty. However, with the addition of data deduplication technology, D2D systems now provide compelling operational and cost efficiencies, thanks to increased manageability and reduced storage and bandwidth needs.
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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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| By : Quocirca |
Published Date: Oct 05, 2007 |
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Knowledge of the location of customers, property, products or any other asset is invaluable intelligence for improving competitive advantage and operational efficiency. However, despite the proliferation of data that businesses generate today, the potential value of this location dimension is often overlooked in the business intelligence process.
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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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This paper explores trends past, current, and future in the mashup space and surveys the types of tools used to build and distribute mashups. The goal is to develop a set of criteria for the reader to use when evaluating mashup platforms for the development of business applications. Where appropriate, analogies to existing technologies and methodologies are employed.
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