Data Mining White Papers ( Datamining, Analytics, Data Dredging, Database Analytics, Datamine, Data-mining ) Software Downloads, Definition and Webcasts

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Jun 19, 2013

Business of Information Technology > Business Processes > Business Intelligence >
Data Mining
ALSO CALLED: Datamining, Analytics, Data Dredging, Database Analytics, Datamine, Data-mining DEFINITION: Data dredging, sometimes referred to as "data fishing" is a data mining practice in which large volumes of data are analyzed seeking any possible relationships between data. The traditional scientific method, in contrast, begins with a hypothesis and follows with an examination of the data. Sometimes conducted for unethical purposes, data dredging often circumvents traditional data mining … Definition continues below.
Data Mining Reports
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Accountable HealthCare Drives Big Data and Analytics sponsored by Hewlett-Packard Limited WHITE PAPER: Many ACOs are coming across challenges to big data and analytics, such as data complexity, conflicting IT priorities, and lack of understanding of the power of big data and analytics. Continue on for insights into the relationship between accountable care initiatives and big data and analytics technology and how to overcome typical challenges. Posted: 24 Jan 2013 \| Published: 30 Sep 2012 TOPICS: Business Intelligence \| Data Analytics \| Data Mining \| Data Warehouse Architectures \| Health Care Compliance \| Health Care Industry \| Unstructured Data

Improving Business Outcomes with Big Data and Analytics in Communications, Media and Entertainment sponsored by Hewlett-Packard Limited WHITE PAPER: This exclusive resource highlights the ways communications, media, and entertainment (CME) companies are improving business outcomes by leveraging big data and analytics in today's highly competitive, data-heavy climate. Read on for insights. Posted: 24 Jan 2013 \| Published: 30 Sep 2012 TOPICS: Business Intelligence \| Cloud Computing \| Communications Systems \| Customer Interaction Services \| Data Analytics \| Data Mining \| Entertainment Industry

Video: HP Master Plan – an aligned approach to information management sponsored by Hewlett-Packard Limited VIDEO: In order to fully tackle the challenge of big data, it's important that business intelligence be coupled with business strategy. In this brief video, Brian Ng, Global Portfolio & Strategy Leader at HP, explains the necessary components of a 3-year big data plan. Posted: 23 Jan 2013 \| Premiered: 23 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Management \| Data Mining \| Unstructured Data

Video: Build a next-generation information management strategy sponsored by Hewlett-Packard Limited VIDEO: Access this brief video to learn how you can build a next-generation information strategy that will help you identify patterns and trends in human information and machine to machine data so you can act on insights in real time. Learn where to get started today. Posted: 23 Jan 2013 \| Premiered: 20 Sep 2012 TOPICS: Business Intelligence \| Data Analytics \| Data Management \| Data Mining \| Unstructured Data

Video: A joint approach to information management sponsored by Hewlett-Packard Limited VIDEO: Access this video to learn the importance of a two-fold approach to information management.Learn how to bring business and technology together to devise a common strategy shared across the enterprise. By clearly laying out the steps shared approach, ensure all members of your organization are working toward the same end-goal. Posted: 23 Jan 2013 \| Premiered: 23 Jan 2013 TOPICS: Business Intelligence \| Data Management \| Data Mining \| Unstructured Data

Video: A flexible approach to information management sponsored by Hewlett-Packard Limited VIDEO: In this video, Brian Ng, Global Portfolio & Strategy Leader at HP, goes over the benefits of a 2-3 year plan approach to information management. Learn Ng's recommendations for such a strategy. Posted: 23 Jan 2013 \| Premiered: 23 Jan 2013 TOPICS: Business Intelligence \| Data Management \| Data Mining \| Unstructured Data

Video: The big data explosion - a big problem or big opportunity sponsored by Hewlett-Packard Limited VIDEO: With 85% of data being unstructured, businesses need to find new ways to extract value from it. This video gives insight into the jaw-dropping statistics about today's data. Continue on to find out the steps your organization can take to make sense of it all. Posted: 21 Jan 2013 \| Premiered: 09 Oct 2012 TOPICS: Business Intelligence \| Data Analytics \| Data Mining \| Unstructured Data

Video: Convert big data into BIG opportunity sponsored by Hewlett-Packard Limited VIDEO: Most organizations still can't meet business needs with current business intelligence initiatives. Access this brief video to find out how you can harness 100% of your data. Discover how you can put your data into context, improve the quality of your interactions, recognize patterns and initiate appropriate business responses Posted: 21 Jan 2013 \| Premiered: 14 Sep 2012 TOPICS: Business Intelligence \| Cloud Computing \| Data Analytics \| Data Mining \| Data Warehouses \| SaaS business intelligence

The Human Face of Big Data: Pulse of the Planet sponsored by ComputerWeekly.com BOOK: Big Data is about to radically transform our understanding of the planet, writes entrepreneur and commentator, Esther Dyson. Posted: 18 Jan 2013 \| Published: 18 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Classification \| Data mashups \| Data Mining \| Data Warehouses \| Internet \| Internet Information Services \| Predictive Analytics \| Sensors

The Human Face of Big Data: Data Driven sponsored by ComputerWeekly.com BOOK: Software engineers are transforming the daily lives of hundreds of millions of people for good and for ill, writes Jonathan Harris. Posted: 18 Jan 2013 \| Published: 18 Jan 2013 TOPICS: Communications Systems \| Data Analytics \| Data Collection \| Data Mining \| Internet \| Internet Chat \| Internet Recreational Services \| Internet Society \| Internet Usage \| Market Trends \| Online Advertising \| Privacy Rights \| Social Computing \| Social Networking \| Viral Marketing \| Web 2.0 \| Web Analytics \| Web Applications Software

Harness the Power of Big Data: The IBM Big Data Platform sponsored by IBM EBOOK: This extensive e-book examines the topic of big data in depth. Access this six part book to examine details on in-motion and at-rest analytics, get big data use cases, gain confidence in your big data project, and much more. Posted: 16 Jan 2013 \| Published: 16 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Integration \| Data Mining \| Unstructured Data

The Risk of Using Spreadsheets for Statistical Analysis sponsored by IBM WHITE PAPER: Why are companies using spreadsheets for data analysis? For many, the answer is ease of use. But just because it's easy to use doesn't mean it's the best medium for performing data analysis. Read on to learn 3 spreadsheet errors and their 6 major causes. Plus, learn about an alternative approach that provides a more secure environment. Posted: 15 Jan 2013 \| Published: 15 Jan 2013 TOPICS: Business Intelligence \| Business Intelligence Software \| Data Analytics \| Data Mining \| Data Mining Software \| Statistical Software

Case Study: Meka Pro harnesses analytics to improve profitability of manufacturing projects sponsored by IBM CASE STUDY: You operate in a global market and in order to be successful you need to customize your business strategy for different markets. Analytics tools can help you obtain the intelligence you need to tailor your approach to specific markets and audiences. Read on to learn how a manufacturing company used analytics to increase profitability by 10%. Posted: 15 Jan 2013 \| Published: 15 Jan 2013 TOPICS: Business Intelligence \| Business Intelligence Software \| Data Analytics \| Data Mining \| Data Mining Software

The Big Data Zoo - Taming the Beasts sponsored by IBM WHITE PAPER: It's important to remember that big data must be managed and integrated across the entire enterprise to extract its full value and to ensure its consistent use. Access this extensive resource to learn the importance of an integrated platform and how to get started. Posted: 14 Jan 2013 \| Published: 31 Oct 2012 TOPICS: Business Intelligence \| Data Analytics \| Data Integration \| Data Mining \| Unstructured Data

Best Practices for Scaling a Big Data Analytics Project sponsored by HP & Intel® EGUIDE: Access this expert resource to examine the proven data management and business intelligence best practices that translate well to big data analytics. Discover best practices for scaling your big data project once you get started. Posted: 11 Jan 2013 \| Published: 11 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Management \| Data Mining

Big Agendas for Big Data Analytics Projects sponsored by HP & Intel® EGUIDE: Access this exclusive resource offering advice on what to consider when it comes to your big data analytics project and how to get started. Discover what questions to consider and identify the technology that will best support you. Posted: 11 Jan 2013 \| Published: 11 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Mining \| Data Mining Software \| Unstructured Data

The Evolution of the ‘Big Data’ Concept sponsored by HP & Intel® EGUIDE: Access this exclusive guide to analyze the evolution of the big data concept. Examine how many analysts are coming to believe that the 3-V definition falls short. Continue on to delve further into the big data discussion and discover how Gartner, who originally introduced the 3-V concept, has begun to build on this rudimentary interpretation. Posted: 11 Jan 2013 \| Published: 11 Jan 2013 TOPICS: Data Centers \| Data Governance \| Data Management \| Data Mining \| Unstructured Data

Skills Needed in Extracting Value from Big Data Projects sponsored by HP & Intel® EGUIDE: While the technologies available for big data are important, it's critical to make sure you have the right people with the right skills and experience to successfully leverage big data analytics tools. Inside, take a realistic look at what to plan for and examine the key skill sets and roles that should be a part of your big data analytics plan. Posted: 10 Jan 2013 \| Published: 10 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Mining

Enterprise Social: Building the Business Case and Getting Started sponsored by SearchContentManagement EGUIDE: In this guide, Pamela DeLoatch looks at the key aspects of getting started with enterprise social deployments and catalogs some practical advice for organizations interested in creating and implementing a strategy of their own. Posted: 21 Dec 2012 \| Published: 21 Dec 2012 TOPICS: Data Analytics \| Data Governance \| Data Mining \| Unstructured Data

Understanding Oracle business intelligence and analytics sponsored by ParAccel EGUIDE: In this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data. Posted: 17 Jan 2013 \| Published: 10 Jan 2013 TOPICS: Apache \| Business Intelligence \| Data Analytics \| Data Mining \| Data Mining Software \| Data Warehouse Architectures \| Data Warehouse Software \| Database Administration \| Database Administrators \| Database Architectures \| Database Design \| Database Management \| ERP \| ERP Software \| Oracle (Product)

Transitioning from Disk-Based Storage to In-Memory Computing sponsored by Hewlett-Packard Company EGUIDE: Access this exclusive resource to learn how transitioning from disk-based storage to in-memory storage isn't a one-size-fits-all strategy. Analyze your organization's unique needs and goals and take the first step toward harnessing your data instead of drowning in it. Posted: 14 Jan 2013 \| Published: 14 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Mining \| Storage Efficiency

Spotlight on ISVs: Why embedded BI and analytics supersede traditional data warehousing sponsored by Birst EGUIDE: Traditionally, data warehousing, BI, and analytics have all gone hand-in-hand. Mining data from one centralized location just made sense. But, as the need for real-time insight has grown, the process of analyzing data from DWs is too cumbersome. Read on to learn why leveraging embedded BI and analytics can help you gain intelligence faster. Posted: 09 Jan 2013 \| Published: 09 Jan 2013 TOPICS: Business Intelligence \| Business Intelligence Software \| Dashboards \| Data Analytics \| Data Mining

The Future of Unstructured Big Data Analytics sponsored by Datawatch Corporation EGUIDE: In this exclusive e-guide, explore how businesses will need to reconsider how they are organized and how they operate to leverage big data. As a bonus, discover common misconceptions about unstructured data in a Q&A with Mark Madsen, president of the consulting and research firm Third Nature Inc. Posted: 09 Jan 2013 \| Published: 09 Jan 2013 TOPICS: Business Intelligence \| Data Analytics \| Data Mining

Tap Hidden Business Intelligence With HP DL980 sponsored by Hewlett-Packard Company EGUIDE: Access this white paper to learn how most BI is coming from unstructured and semistructured data. Examine how you can manage and leverage this fully in today's technology landscape. Posted: 07 Jan 2013 \| Published: 07 Jan 2013 TOPICS: Business Intelligence \| Business Intelligence Software \| Data Mining

E-Guide: Social Analytics: Opportunities and Challenges sponsored by IBM EGUIDE: Read this e-guide to learn how social media analytics can help businesses improve marketing by quantifying customer value at different stages of the life cycle, but also that they need tools like in-memory computing to provide real-time analysis of vast volumes of customer behavior data. Posted: 21 Dec 2012 \| Published: 21 Dec 2012 TOPICS: Business Intelligence \| Data Analytics \| Data Mining \| Predictive Analytics \| Social Computing \| Social Networking \| Text Analytics

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DATA MINING DEFINITION (continued): … techniques and may lead to premature conclusions. Data dredging is sometimes described as "seeking more information from a data set than it actually contains." Data dredging sometimes results in relationships between variables announced as significant when, in fact, the data require more study before such an association can legitimately be determined. Many variables may be related through chance alone; others may be related through some unknown factor. To make a valid assessment of the relationship between any two variables, further study is required in which isolated variables are contrasted …
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