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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: 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.
White Paper Published By: SPSS
Published Date: Jun 30, 2009
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.
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.
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: 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.
Despite progress in delivering IT as a service, providing up-to-date enterprise software flawlessly and rapidly to the business remains massively challenging for in-house teams.
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: 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: SPSS
Published Date: Jun 30, 2009
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.
White Paper Published By: Vertica
Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
White Paper Published By: HP SAS
Published Date: Sep 24, 2008
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.
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: Vertica
Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily
focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections,
they had the need to query and analyze call detail record (CDR) databases that grow by millions of
new CDRs every day.
White Paper Published By: HP SAS
Published Date: Oct 15, 2008
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.
White Paper Published By: CDW Vmware
Published Date: Aug 02, 2012
Your business counts on you for reliable, secure, responsive IT services. It's a nonstop job, with no time off to figure out complex new technologies or wrestle with software solutions designed for larger firms. Virtualization is the way
to simplify your IT without unnecessary complexity or cost.
White Paper Published By: Vertica
Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.