Choose Index below for a list of all words and phrases defined in this glossary.
Data Mining : The process of analysing large volumes of data using pattern recognition or knowledge discovery techniques to identify meaningful trends, relationships and clusters represented in data in large databases.
[Category=Data Quality ]
Source: Larry English, http://www.iaidq.com/main/glossary.shtml , 21-Jan-2009 11:10
These advertisers support this free service
Data mining - The process of finding hidden patterns and relationships in the data.
Analyzing data involves the recognition of significant patterns. Human analysts can see patterns in small data sets. Specialized data mining tools are able to find patterns in large amounts of data. These tools are also able to analyze significant relationships that exist only when several dimensions are viewed at the same time.
Users can ask data questions using standard queries when they know what they're looking for. Queries can be written for questions like this: "Which of our out-of-town customers have given us the most business in the last year?"
Data mining is needed when the user's questions are more vague or general in nature. Data mining questions would include: "What attributes characterize the customers that gave us the most business in the past year?"
[Category=Data Warehousing ]
Source: SDG Computing Inc., 06 May 2010 10:02:05, SDG Computing, now offline
Data Mining - is sorting through data to identify patterns and establish relationships.
[Category=Data Cleansing ]
Source: X4DB, 17 May 2010 08:36:08, http://www.x4db.com/glossary.html
Data Mining - A technique using software tools geared for the user who typically does not know exactly what he's searching for, but is looking for particular patterns or trends. Data mining is the process of sifting through large amounts of data to produce data content relationships. It can predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. This is also known as data surfing.
[Category=Information Management ]
Source: Information-Management.com, 11 June 2010 11:03:53, http://www.information-management.com/glossary/d.html
Data Mining - Mining”(1) The process of utilizing the results of data exploration to adjust or enhance business strategies. It builds on the patterns, trends, and exceptions found through data exploration to support the business. It is also known as data harvesting. (2) A technique using software tools geared for the user who typically does not know exactly what he's searching for, but is looking for particular patterns or trends. Data mining is the process of sifting through large amounts of data to produce data content relationships. This is also known as data surfing.
[Category=Data Warehousing ]
Source: Sun.com, 23 July 2010 11:26:02, http://www.sun.com/third-party/dw/brochures/67198.Acrobat.pdf
Data Mining - A technique using software tools geared for the user who typically does not know exactly what he's searching for, but is looking for particular patterns or trends. Data mining is the process of sifting through large amounts of data to produce data content relationships. This is also known as data surfing.
[Category=Data Warehousing ]
Source: Aexis Business Intelligence, 20 November 2010 08:06:30, http://www.aexis.eu/DataWarehouse-Glossary/
Data mining - The process of finding significant, previously unknown, and potentially valuable knowledge hidden in data.
[Category=Data Quality ]
Source: DAMA UK, 15 July 2011 09:01:14, http://www.damauk.org/glossary.php
Data mining - Data mining is the process of analysing data from different perspectives and summarising it into useful new information. Data mining software is one of a number of tools for interrogating data. It allows users to analyse data from many different dimensions or angles, categorise it, and summarise the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Obviously, for data mining to be effective it is necessary to analyse large amounts of previously collected data.
[Category=Data Security ]
Source: European Data Protection Supervisor, 27 July 2011 08:56:26, http://www.edps.europa.eu/EDPSWEB/edps/cache/off/EDPS/Dataprotection/Glossary
Data Mining - A component of business intelligence. Data mining relates to discovering previously unknown patterns within a data set, typically by testing the validity of different ways of describing the data.
[Category=Business Intelligence ]
Source: ElegantJ BI Business Intelligence, 28 October 2012 09:32:15, http://www.elegantjbi.com/resources/glossary_a.htm
Data Mining - Data mining is a process by which algorithms and complex searches are applied to data in an attempt to discover patterns and relationships within the data.
[Category=Business Intelligence ]
Source: Deanna Dicken, 07 November 2012 09:44:01, http://www.databasejournal.com/features/mssql/article.php/3919011/Business-Intelligence-Terminology-101.htm
data mining - Data mining is sorting through data to identify patterns and establish relationships.
Data mining parameters include:
Association - looking for patterns where one event is connected to another event Sequence or path analysis - looking for patterns where one event leads to another later event Classification - looking for new patterns (May result in a change in the way the data is organized but that's ok) Clustering - finding and visually documenting groups of facts not previously known Forecasting - discovering patterns in data that can lead to reasonable predictions about the future (This area of data mining is known as predictive analytics.)
Data mining techniques are used in a many research areas, including mathematics, cybernetics, genetics and marketing. Web mining, a type of data mining used in customer relationship management (CRM), takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior.
[Category=Data Management ]
Source: WhatIs.com, 22 July 2013 09:06:52, http://whatis.techtarget.com/glossary/Data-and-Data-Management
Data mining – the process of finding certain patterns or information from data sets.
[Category=Big Data ]
Source: BigData-Startup, 25 September 2013 08:51:16, http://www.bigdata-startups.com/abc-big-data-glossary-terminology
data mining - The process of deriving patterns or knowledge from large data sets.
[Category=Big Data ]
Source: DataInformed, 24 October 2013 09:35:45, http://data-informed.com/glossary-of-big-data-terms/
Data mining - A process of extracting information and patterns from a dataset transforming it into understandable, useful information.
[Category=Big Data ]
Jamie Turner, 15 December 2014 11:15:33, http://blog.triggar.com/a-z-of-big-data-learn-the-lingo/
Data Quality Glossary. A free resource from GRC Data Intelligence. For comments, questions or feedback: dqglossary@grcdi.nl