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Data Mining - TheFreeDictionary.com

Data mining is usually done with a computer program and helps in marketing. That is, a company can look at the (publicly available) purchase patterns of a person or group of persons and determine what products to direct at them.

Data mining | Article about data mining by The Free Dictionary

data mining[′dad·ə ‚mīn·iŋ or dād·ə ‚mīn·iŋ] (computer science) The identification or extraction of relationships and patterns from data using computational algorithms to reduce, model, understand, or analyze data. The automated process of turning raw data into useful information by which intelligent computer systems sift and sort ...

Data Mining Definition in Terms of BI | Logi Analytics

Data mining is the process of analyzing data from different sources and summarizing it into relevant information that can be used to help increase revenue and decrease costs. Its primary purpose is to find correlations or patterns among dozens of fields in large databases. Data mining software is ...

Encyclopedia of Machine Learning and Data Mining | Claude ...

Machine learning and data mining techniques have countless applications, including data science applications, and this reference is essential for anyone seeking quick access to …

Encyclopedia of Machine Learning and Data Mining, 2nd ...

Machine learning and data mining techniques have countless applications, including data science applications, and this reference is essential for anyone seeking quick access to …

Data mining - Wikipedia

Data mining: Data mining, in computer science, the process of discovering interesting and useful patterns and relationships in large volumes of data. The field combines tools from statistics and artificial intelligence (such as neural networks and machine learning) with database management to analyze large

Datamining - definition of Datamining by The Free Dictionary

data mining. n. The extraction of useful, often previously unknown information from large databases or data sets. data mining. n (Computer Science) the gathering of information from pre-existing data stored in a database, such as one held by a supermarket about customers' shopping habits

SAGE Reference - Data Mining - sk.sagepub.com

This entry compares data mining with traditional statistics, covers the industry-standard process for data mining, briefly describes the major techniques used, …

Data Mining Process Overview - MSSQLTips

Data Mining can be applied for a variety of purposes. Before one starts considering data mining as a probable solution, one should clearly understand the typical applications of data mining as well as the approach to develop data mining models in an enterprise. Having understood the fundamental ...

Data Mining | Encyclopedia.com

Data Mining Data mining is the process of discovering potentially useful, interesting, and previously unknown patterns from a large collection of data. The process is similar to discovering ores buried deep underground and mining them to extract the metal.

Transaction-Generated Information and Data Mining ...

TRANSACTION-GENERATED INFORMATION AND DATA MINING. The term transactional information was first employed by David Burnham (1983) to describe a new category of information produced by tracking and recording individual interactions with computer systems. Unlike most human interactions, those processed by computer systems are easily recorded and aggregated to yield knowledge about …

Data Mining - SAGE Research Methods

Data mining is defined as the process of extracting useful information from large data sets through the use of any relevant data analysis techniques developed to help people make better decisions. These data mining techniques themselves are defined and categorized according to their underlying statistical theories and computing algorithms.

Encyclopedia of Data Warehousing and Mining - UCLA

Encyclopedia of Data Warehousing and Mining Second Edition John Wang Montclair State University, USA Hershey • New York InformatIon ScIence reference

Examples of data mining - Wikipedia

Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to ...

Encyclopedia of Machine Learning and Data Mining: Claude ...

Machine learning and data mining techniques have countless applications, including data science applications, and this reference is essential for anyone seeking quick access to …

Data-mining | Article about Data-mining by The Free Dictionary

data mining[′dad·ə ‚mīn·iŋ or dād·ə ‚mīn·iŋ] (computer science) The identification or extraction of relationships and patterns from data using computational algorithms to reduce, model, understand, or analyze data. The automated process of turning raw data into useful information by which intelligent computer systems sift and sort ...

Data Mining for Education - Columbia University

Data Mining for Education Ryan S.J.d. Baker, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA Introduction Data mining, also called Knowledge …

Data mining - WikiVisually

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science with an overall goal to extract information (with intelligent method) from a data set and transform the information into a comprehensible structure for further use.

Data mining - Simple English Wikipedia, the free encyclopedia

Data mining is a term from computer science. Sometimes it is also called knowledge discovery in databases (KDD). Data mining is about finding new information in a lot of data. The information obtained from data mining is hopefully both new and useful.

* Data mining (Artificial Intelligence) - Definition ...

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.[1] It is an essential process where intelligent methods are applied to extract data patterns.

Encyclopedia of Machine Learning and Data Mining ...

Topics for the Encyclopedia of Machine Learning and Data Mining include Learning and Logic, Data Mining, Applications, Text Mining, Statistical Learning, Reinforcement Learning, Pattern Mining, Graph Mining, Relational Mining, Evolutionary Computation, Information Theory, Behavior Cloning, and many others.Topics were selected by a distinguished international advisory board.

Encyclopedia of Data Warehousing and Mining

Encyclopedia of Data Warehousing and Mining Second Edition John Wang Montclair State University, USA Hershey • New York InformatIon ScIence reference

Encyclopedia of Machine Learning: Claude Sammut, Geoffrey ...

Encyclopedia of Machine Learning [Claude Sammut, Geoffrey I. Webb] on . *FREE* shipping on qualifying offers. This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references.

SAGE Reference - Data Mining

SAGE Video Bringing teaching, learning and research to life. SAGE Books The ultimate social sciences digital library. SAGE Reference The complete guide for your research journey. SAGE Navigator The essential social sciences literature review tool. SAGE Business Cases Real world cases at your fingertips. CQ Press Your definitive resource for politics, policy and people.

Data Mining - SAGE Research Methods

Data mining refers to the process of discovering useful patterns in very large databases. It uses methods from statistics, machine learning, and database management to restructure and analyze data to extract knowledge or information from the data.

data mining Definition from PC Magazine Encyclopedia

data mining Exploring and analyzing detailed business transactions. It implies "digging through tons of data" to uncover patterns and relationships contained within the business activity and history.

Online ontrolled Experiments and A/ Tests

Unlike most data mining techniques for finding correlational patterns, controlled experiments allow establishing a causal relationship with high probability. Experimenters can utilize the Scientific Method to form a hypothesis of ... To appear in the Encyclopedia of Machine Learning and Data Mining, edited by Claude Sammut and Geoff Webb ...

Data Mining financial definition of Data Mining

Data mining is the process of data analysis that results in discovery of implicit, but potentially useful information as well as previously unknown patterns and relationships, which are hidden in data …