{"id":158698,"date":"2020-12-10T17:09:29","date_gmt":"2020-12-10T11:39:29","guid":{"rendered":"https:\/\/www.jigsawacademy.com\/?p=158698"},"modified":"2022-07-07T14:09:07","modified_gmt":"2022-07-07T08:39:07","slug":"blogs-data-science-what-is-data-mining","status":"publish","type":"post","link":"https:\/\/www.jigsawacademy.com\/blogs\/data-science\/what-is-data-mining\/","title":{"rendered":"What is Data Mining? Working, Uses, and Advantages"},"content":{"rendered":"\r\n

Introduction\u00a0<\/strong><\/h2>\r\n\r\n\r\n\r\n

What is the meaning data mining? The process by which companies turn raw data into information that is useful is Data Mining. In order to develop effective strategies in marketing, thereby decrease cost and increase sales, businesses use software to look for patterns in the large batches of data. Data mining largely is dependent on warehousing, computer processing, and effective data collection. These processes are useful for building machine learning models that power applications like search engine technology and programs that recommend websites.\u00a0<\/p>\r\n\r\n\r\n\r\n

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  1. What is Data Mining?<\/a><\/strong><\/li>\r\n
  2. Definition of Data Mining<\/a><\/strong>\u00a0<\/li>\r\n
  3. Data Mining Uses<\/a><\/strong><\/li>\r\n
  4. Advantages\u00a0of Data Mining\u00a0<\/a>\u00a0<\/strong><\/li>\r\n
  5. Why\u00a0Data Mining\u00a0is Important?<\/a><\/strong><\/li>\r\n
  6. What is the<\/strong>\u00a0History of Data<\/strong> Mining<\/strong>?<\/a>\u00a0<\/li>\r\n
  7. How Data Mining Works<\/a><\/strong><\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

    1. What is Data Mining?<\/strong><\/h2>\r\n\r\n\r\n\r\n

    Data\u00a0mining is a process where hidden data are analyzed according to multiple perspectives and turning those data into useful information and can be put into action.\u00a0Data Mining means\u00a0collecting and assembling data from common areas, like data mining algorithms and data warehouses, look for patterns that can be used by businesses to improve customer service thereby increase their revenue. It is otherwise known as knowledge discovery or data discovery. It is very important in business intelligence to establish decisions that are driven by data.\u00a0\u00a0<\/p>\r\n\r\n\r\n\r\n

    2. Definition of Data <\/strong>Mining\u00a0<\/h2>\r\n\r\n\r\n\r\n

    Data mining is the process of analyzing large volumes of data so as to discover\u00a0business intelligence\u00a0which helps companies to solve problems, seize new opportunities, and mitigate risks. Some\u00a0data mining tools<\/strong>\u00a0used in the industry are Rapid Miner, oracle data mining, IBM SPSS Modeler, KNIME, Python Orange, Kaggle, Rattle, Weka, and Teradata.\u00a0Data mining examples:\u00a0include\u00a0Groupon-\u00a0Data mining allows Groupon alignment of marketing activities closely to customer preferences which analyze just 1 terabyte of real-time customer data that helps to identify the emerging trends. Data mining technique is used by Air France.<\/p>\r\n\r\n\r\n\r\n

    Trip searches, bookings, social media, flight operations, call centers, and interactions in the airport lounge are analyzed and a 360-degree customer view is created. Grocery stores use data mining by giving loyalty cards to customers that make it easy for the cardholders to avail of special prices that are not made available to non-cardholders. The above are a few examples of data mining helping companies to increase efficiency, streamline operations, cost reduction, and improve profits.\u00a0\u00a0<\/p>\r\n\r\n\r\n\r\n

    3. Data Mining Uses<\/strong><\/h2>\r\n\r\n\r\n\r\n

    data mining is used\u00a0in various fields like research, business, marketing, sales, product development, education, and healthcare. When used appropriately, data mining provides an extreme advantage over competitive establishments by providing more information about customers and helps to develop better and effective strategies in marketing which will raise the revenue and lower the cost. In order to achieve excellent results from data mining, a number of tools and techniques are required.\u00a0\u00a0<\/p>\r\n\r\n\r\n\r\n

    Some of the most common\u00a0Data mining concepts\u00a0are\u00a0\u00a0<\/p>\r\n\r\n\r\n\r\n