Importance of data mining in the higher education system. IOSR Journal of Humanities and Social Science

Responses to classmates must consist of at least 350 words (not including the greeting and the references), do NOT repeat the same thing your classmate is saying, try to add something of value like a resource, educational information to give to patients, possible bad outcomes associated with the medicines discussed in the case, try to include a sample case you've seen at work and discuss how you feel about how that case was handled. Try to use supportive information such as current Tx guidelines, current research related to the treatment, anything that will enhance learning in the online classroom. Data mining enhances workflow design in that the marketing firms develop models related to the historical data that will concisely predict responders to the new marketing advertisements (Koh, & Tan, 2011). It also assists the retail firms in that through the employment of the market basket assessment, and a store can have the right arrangement in such an approach that the clientele can buy frequent buying commodities together with pleasant. Data mining is also instrumental to the retail firms to provide particular discounts that will attract more clientele. Data mining in context is new terminology, but for most individuals, often those who may not have knowledge concerning information technology, the term may be confusing. The new businesses in context are sophisticated and depend on data. It implies that the available amount of data has vastly increased. Data mining concentrates on extracting critical data from a large set of information and transforms the same into data acquired from a large collection of data and transition the same into a structure that can be interpreted in an easy way for further employment. As data is growing at a very remarkable rate, it is worthwhile noting that there is a need to examine large, sophisticated, and information-rich information sets to access the hidden data (Bhise, Thorat, & Supekar, 2013). By developing a model, especially from the loans' historical clients' data, data mining in the banking sector will enable the detection of fraudulent credit card transactions. It is also vital in operational engineering information that can detect faculty facilities and determine the optimal control parameters. Data mining can select the range of control settings that will lead to the right commodity production. In line with the government's design of workflow, data mining will assist the state agencies in examining records of the financial transactions that will assist in the development of patterns that can be used to detect any form of laundering and other criminal activities. Bhise, R. B., Thorat, S. S., & Supekar, A. K. (2013). Importance of data mining in the higher education system. IOSR Journal of Humanities And Social Science (IOSR-JHSS), 6(6), 18. Koh, H. C., & Tan, G. (2011). Data mining applications in healthcare. Journal of healthcare information management, 19(2), 65.

ANSWER. PAPER DETAILS
Academic Level	Masters
Subject Area	Nursing
Paper Type	Admission - Application Essay
Number of Pages	1 Page(s)/275 words
Sources	2
Format	APA 6
Spacing	Double Spacing

---

Reload

If this is not the paper you were searching for, you can order your 100% plagiarism free, custom written paper now!