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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 - 18 of 18 matches |
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15 Minute Guide to Enterprise Content Management |
| 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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Butler Group on iWay Service Manager |
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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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Critical Success Factors Deploying Pervasive BI |
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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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Data Modeling: A Necessary and Rewarding Aspect of Data Management |
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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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Mashups: Understanding Mashup Building Platforms for Business Applications |
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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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The Location Intelligent Enterprise: Unlocking the Value of Location in Data |
| 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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Why Migrate to HP Integrity Servers and Microsoft SQL Server? |
| By :HP |
Published Date: Apr 12, 2006 |
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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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Results 1 - 18 of 18 matches |
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More Data Management Topics |
Application Integration, Analytical Applications, Business Intelligence, Configuration Management, Database Development, Data Integration, Data Mining, Data Protection, Data Quality, Data Replication, Database Security, EDI, SOAP, Service Oriented Architecture, Web Service Management, Data Warehousing |
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SPECIAL REPORT |
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Data Leakage Landscape: Where Data Leaks & How Next Generation Tools Apply
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Data protection programs at most organizations are concerned with protecting sensitive data from external malicious attacks, relying on technical controls that include perimeter security, network/wireless surveillance and monitoring, application and point security management, and user awareness and education. In this paper, the different leakage points are mapped with regulations and best practices. |
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