Data mining? What is it?
It is the process to discover patterns in large data sets which involves the methods at the intersection of machine learning, statistics, and database systems.
Data mining is the process of finding the anomalies, patterns, and correlations within a large number of data sets to predict outcomes.
Using a very broad range of techniques, you can use this information.
This is to increase most of the revenues, cut costs, improve customer relationships, reduce risks, and more.
With unified, data-driven views of student progress in that sector, educators can predict student performance before they set foot in the classroom! Also, they can develop intervention strategies to keep them on course!
However, there are many applications of data mining!
Data mining helps all the educators to access student data, predict achievement levels, and pinpoint students or groups of students in need of extra attention.
Some Of The Applications Of Data Mining
HealthCare
Data mining holds very great potential to improve health systems!
Also, it uses data and analytics to identify all the best practices that improve care and reduce costs.
Researchers use data mining approaches like databases, machine learning, soft computing, data visualization, and statistics.
Mining can also check the volume of patients in every category!
Processes are developed that always make sure that the patients receive appropriate care at the right place and at the right time!
Data mining can also help all the healthcare sectors to detect fraud and abuse.
Market Analysis
Market analysis is a modeling process that is based upon a theory that if you buy a certain group of items you are more likely to buy one more group of items!
This technique may allow the retailer to fully understand the purchase behavior of a buyer.
This information may also help the retailer to know the buyer’s needs and change all the store’s layout accordingly.
Using differential analysis comparison of results between all the different stores, between customers in different demographic groups can be done.
Education
The goals are identified as predicting students’ future learning behavior, studying the effects of educational support, and also advancing scientific knowledge about learning!
Data mining can be for an institution to take accurate decisions and also to predict the results of a particular student.
With the results, the institution can fully focus on what to teach and how to teach.
The learning pattern of all the students can be captured and used to develop techniques to teach them.
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