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Data Management > Data Mining |
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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 - 16 of 16 matches |
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| By : Bocada |
Published Date: Oct 21, 2005 |
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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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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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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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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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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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| By : EMC |
Published Date: May 08, 2006 |
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The 15 Minute Guide to Enterprise Content Management (ECM) provides a nonpartisan look at the what, why, when, where, how and who of enterprise content management. This guide will give you the basics of ECM and its related technologies, tips for successful implementation.
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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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This white paper discusses the specific business and architectural success factors to consider when selecting one Enterprise Business Intelligence Suite (EBIS) to serve as the enterprise standard.
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Learn about the challenges and solutions for meeting the reporting requirements faced by today’s organizations, with attention to formal government legislation, industry-specific regulations, and internal corporate governance.
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This paper serves as a synopsis of Information Builders' philosophy of business intelligence. By using this paper as a model, you'll learn how to establish a culture of measurement and begin a powerful cycle of continued improvement within your organization.
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Reduce the purchase, maintenance, and implementation costs of business intelligence by standardizing on a single solution that meets all of your reporting and information delivery needs. This paper compares the TCO (Total Cost of Ownership) of BI solutions from Cognos, Business Objects, and Information Builders.
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This paper discusses the relationship between ESB, loose coupling, and the effort needed to align IT with business process owners in order to ensure a successful SOA implementation in any organization.
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iWay Service Manager is a complete integrated design environment. From an end-user perspective, it is simply a complete management solution that can be used with the graphical interface to design process-centric applications, without the need for developers to understand or map to the underlying infrastructure.
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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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| By : Quocirca |
Published Date: Oct 04, 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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| By : Siperian |
Published Date: Jan 24, 2007 |
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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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