Data mining def

  • What is the meaning of data mining?

    Definition: In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data.
    It implies analysing data patterns in large batches of data using one or more software.
    Data mining has applications in multiple fields, like science and research..

Quelle est la différence entre data mining et Machine Learning ?

C’est une composante essentielle du data mining à grande échelle

machine learning : c’est une technique de programmation informatique qui utilise des probabiltés statistiques afin de donner aux ordinateurs et IoT la capacité « d’apprendre »

Le machine learning et l’intelligence artificielle sont deux notions liées

×Data mining is the process of analyzing a large batch of information to discern trends and patterns. It is used by corporations for everything from learning about what customers are interested in or want to buy to fraud detection and spam filtering. The main purpose of data mining is to extract valuable information from available data. Data mining is an interdisciplinary subfield of computer science and statistics.,data mining noun Digital Technology. the process of collecting, searching through, and analyzing a large amount of data in a database, as to discover patterns or relationships: the use of data mining to detect fraud.data mining noun : the practice of searching through large amounts of computerized data to find useful patterns or trendsData mining is the process of analyzing a large batch of information to discern trends and patterns. Data mining can be used by corporations for everything from learning about what customers are interested in or want to buy to fraud detection and spam filtering.Data mining is the process of uncovering patterns and finding anomalies and relationships in large datasets that can be used to make predictions about future trends. The main purpose of data mining is to extract valuable information from available data.Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use.

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