data processing using sophisticated data search capabilities and statistical algorithms to discover patterns and correlations in large preexisting databases; a way to discover new meaning in data
A technique for searching large-scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful
Data mining, an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term is a buzzword, and is frequently misused to mean any form of large-scale data or information processing but is also generalized to any kind of computer decision support system, including artificial intelligence, machine learning, and business intelligence. In the proper use of the word, the key term is discovery, commonly defined as "detecting something new". Even the popular book "Data mining: Practical machine learning tools and techniques with Java" was originally to be named just "Practical machine learning", and the term "data mining" was only added for marketing reasons. Often the more general terms " data analysis", or "analytics" – or when referring to actual methods, artificial intelligence and machine learning – are more appropriate.
U.S. National Library of Medicine
Use of sophisticated analysis tools to sort through, organize, examine, and combine large sets of information.
Is the computational process of analyzing, interpreting and evaluating large amounts of data and data patterns for specific reasons and to discover data or data patterns in large data sets.
Data mining is used in business, government, trade and other types of organizations for a variety of purposes.
The numerical value of data mining in Chaldean Numerology is: 2
The numerical value of data mining in Pythagorean Numerology is: 2
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Translations for data mining
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- تنقيب في البياناتArabic
- data mining, dolování datCzech
- Data MiningGerman
- minería de datosSpanish
- کاوش در دادهها, داده کاویPersian
- exploration de données, orpaillage, fouille de données, forage de données, prospection de donnéesFrench
- 데이터 마이닝Korean
- data fodiendaLatin
- добыча данных, интеллектуальный анализ данныхRussian
- data miningSwedish
- தரவு சுரங்கTamil
- اعداد و شمار کوجھناUrdu
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