{"id":1609,"date":"2019-12-05T15:19:53","date_gmt":"2019-12-05T15:19:53","guid":{"rendered":"http:\/\/freeconferencealerts.com\/blog\/?p=1609"},"modified":"2020-04-04T05:05:15","modified_gmt":"2020-04-04T05:05:15","slug":"data-mining-and-its-uses","status":"publish","type":"post","link":"https:\/\/freeconferencealerts.com\/blog\/data-mining-and-its-uses\/","title":{"rendered":"Data Mining and its uses"},"content":{"rendered":"

Data mining is the process of sorting through large\u00a0data sets\u00a0to identify patterns and establish relationships to solve problems through data analysis. Data mining\u00a0is defined as a process used to extract usable\u00a0data\u00a0from a larger set of any raw\u00a0data.\u00a0In Business it is useful for discovering patterns and relationships in\u00a0data\u00a0to help make better decisions. That\u2019s why it is otherwise known as Knowledge discovery. It is the computer-assisted process of digging through and analyzing enormous sets of\u00a0data\u00a0and then extracting the meaning of the\u00a0data. Data mining\u00a0tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.<\/p>\n

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In data mining,\u00a0association rules\u00a0are created by analyzing data for frequent if\/then patterns, then using the support and confidence criteria to locate the most important relationships within the data. Support is how frequently the items appear in the\u00a0database, while confidence is the number of times if\/then statements are accurate.<\/p>\n

The following are the various types of data which can be mined:<\/p>\n