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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.
White Paper Published By: IBM
Published Date: Oct 15, 2009
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.
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.
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.
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?
White Paper Published By: Intel Corp.
Published Date: Aug 08, 2012
The report outlines the benefits of using HP StoreOnce with NetBackup's integrated Network Data Management Protocol (NDMP) backup capabilities to enhance administrators' abilities to effectively manage NDMP-enabled NAS server backup and recovery.
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.
IT teams are under big pressure to improve the performance and security of corporate networks. Monitoring for security, compliance, and performance requires getting the right data to the right monitoring tool for analysis.
White Paper Published By: Kingston
Published Date: Feb 15, 2011
Learn how to balance the positive and negative effects of memory utilization in virtual infrastructures to better handle system workload and priority--while improving server utilization
White Paper Published By: Limelight IT
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.
White Paper Published By: McAfee
Published Date: Feb 06, 2013
This paper addresses the Big Security Data challenge
and highlights the key criteria organizations need to consider for processing security information in light of today’s dynamic threat landscape.
White Paper Published By: Melissa Data
Published Date: Nov 18, 2008
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.
Free Offer Published By: Melissa Data
Published Date: Nov 18, 2008
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.
White Paper Published By: Proto Software
Published Date: Jun 14, 2007
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.
White Paper Published By: Quocirca
Published Date: Oct 05, 2007
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.
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).
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.
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.