Data Mining.
Data mining is one of the most talked-about and researched topics in the 21st century. Clifton (2019), a Professor of Computer Science at Purdue University Indiana, says that data mining can also be referred to as the discovery of knowledge in databases. He defines it as the “Process of discovering interesting and useful patterns and relationships in large volumes of data.” the field combines tools from different areas, mainly artificial intelligence such as machine learning and neural networks and statistics. Below is a review of articles that have been written about the topic recently.
Article 1.
To Survive in Tough Times, Restaurants Turn to Data-Mining, is an article written by Karen Stabiner (2017) in The New York Times. The author begins by painting to us a clear picture of why the early diners are on a downward trail. The chaos that results from not knowing what your customer wants at what time makes the restaurants lose customers. He gives a scenario where a person who orders a duck, is passed by the last order of the duck while waiting. Many customers miss what they would have wanted because the diners are not up to date with the current technologies.
To change this, many companies are scrambling to deliver timely data on customer preferences, sales, staff performance, and track of what the competitor is doing. In this article, the writer says that the restaurants are using data mining to track down their regular customers and what they like to eat. By doing so, they can keep track of the sales and make sure that whatever your preference is, you will get it no matter how long you wait. The article says that the data helps restaurants identify their employees who need to build up their skills and those that are preferred by some customers, for there is a scorecard kept on their performance.
Article 2.
In the article How Data Mining Is Changing Health Care, Kayla Matthews (2019) gives the application areas that have been transformed by the application of data mining. Data mining is reshaping many industries, and one of them is the health care sector. One of the areas that have seen the application of data mining is the laboratory. Doctors are applying data mining techniques to determine whether there are some underlying factors that they may miss from the lab tests and may help them provide adequate care to the patients. Besides, health care professionals are looking at how the drug interaction affects the patients, and data mining helps them uncover the most prevalent interactions between different drugs; this can inform them whether to combine the medicines or seek alternatives with fewer interactions.
Additionally, hospitals are using data mining to determine whether their patients are adhering to their medications by looking at their purchasing behaviors when they go to refill their prescriptions. Data mining has helped hospitals improve the safety and the outcome of their patients. Data mining has transformed many industries for the better, and just from the two articles above; it’s evident that those who are ignoring data will suffer great shock in the future.
References.
Clifton, C. (2019). Data mining | computer science. Encyclopedia Britannica. https://www.britannica.com/technology/data-mining.
Matthews, K. (2019). How Data Mining Is Changing Health Care. Healthcare in America. https://healthcareinamerica.us/how-data-mining-is-changing-health-care-27c1e9b3b372.
Stabiner, K. (2017). To Survive in Tough Times, Restaurants Turn to Data-Mining. Https://Www.Nytimes.Com/#publisher. https://www.nytimes.com/2017/08/25/dining/restaurant-software-analytics-data-mining.html.