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How We Do Your Data Mining Homework?
Idea shared by Henry Harrison - March 9 at 8:37 AM
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HOW WE DO YOUR DATA MINING HOMEWORK?
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HOW IS DATA MINING USED? WHERE IS DATA MINING USED?
Data Mining in Agriculture: Data mining in agriculture can be helpful in predicting crop condition, forecasting market development and evaluating consumer solvency. In short it can help the farmers with prior information as to what time of the year their crops will flourish along the what products are being asked by the consumers more. Agronomists in particular use Data Mining Assignment Help in measuring the quality as well as growth of the plant.
Data Mining in Health Care: The various healthcare organizations make use of Data Mining in Healthcare. It helps the industry by providing various methodologies and techniques for monitoring treatment effectiveness. It also helps the critical patients through predictive medicines. The health care industry includes medical records, administrative records and reports. Using data mining medical research, medical devices, pharmaceuticals and hospital management can be taken care of.
Data Mining in Banking: In banking data mining is used to churn out valuable information from the customers distinctively. This strategy is basically based upon cost and benefit analysis in order to monitor bank revenues. Data Mining in Banking sector is also use to evade credit as well debit card fraudulent cases. In banking business, in order to predict future risks data mining is very much helpful. Analyzing the market to ensure profitability, techniques of data mining are widely used.
Data Mining in Telecom: Data mining in telecom industry can be used to predict frauds, analyzing trending market situations, interests of the customers as well as what influence a customer to call specifically at certain times. It also helps in profiling as well as customer segmentation. Data Mining in Tele Communication industry also helps in identifying marketing effectiveness along with network faults.
 

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Anthini mical Replied
March 9 at 11:35 AM
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