Most of the time you may have noticed that whenever you search something on internet for information about products, services or restaurants, etc., you come across various content related to desires in the form of advertisements. And even these ads start appearing in your social site's feed.
If you visit a website and see the advertisements there, you realize that you were really searching for these products. These ads are an example of data mining for any Internet user.
What is data mining?
Data mining is the complicated process of forming or converting raw data into useful information. The data is filtered with the support of various software. Due to which different business segments know the behavior of their target customers and develop more effective marketing strategies. Advertisements are made with this strategy in mind. And with the help of these studies, companies can increase their sales and reduce their expenses.
Although it is beneficial for the business community to collect and use these data. But it also attacks the privacy of users. Especially if this data is related to a student.
Through this article Champs Write will try to explain to you the data mining in a better way. Big data management is an important part of business today.
Why Data Mining is Important?
The desire to manage the growing information and data on the Internet and to get the information of your work in the crowd of millions has led the company towards big data management. That's why companies are hiring data scientists these days to keep up with their competitors in the market.
Data scientists work on the following three data varieties:
- Structured Data
- Unstructured Data
- Semi- Structured Data
1. Structured Data
First of all, the results are obtained by reviewing the structure data. This organized content comes from print, electronic and social media information.
2. Unstructured Data
The second type is unstructured data. The content you get in it is disorganized. This data is recorded by observing human activities.
3. Semi- Structured Data
The third type consists of semi-structured data. This is done by splitting the content into separate files. The data obtained is very large and bringing it through a process is called data mining.
Algorithms are used to detect patterns in data. Once the data is summarized through algorithms, data scientists can estimate different trends based on their observations. Data science facilitates the production of profitable products by analyzing the cost of the product and the market trends of the consumers.
Role Of Data Mining in Students Privacy
Due to data mining, student data from all over the world is also of interest to companies. Students who perform online activities leave their mark and it is possible that data is being recorded and stored somewhere. Students record data when they play video games, watch movies or videos, read online books, take quizzes, complete assignments, and even take physical education classes.
Companies can gather the information they need, such as how well they do their assignments, what part of the day they work on, what their location is when they read, what their web browsing habits are and how much they do at school. Perform well However, it is not possible for students and parents to know which companies are collecting student data. Also, they do not know how this information is being used.
Google is one of the leading companies to collect such information, which it has acknowledged and has filed against in federal court in the past. According to the Electronic Frontier Foundation (EFF), Google is collecting more than enough information about children and often storing it indefinitely. These may include information such as name and date of birth, as well as browsing history, words searched, location data, list of contacts, and behavioral information.
Third-party software is used by educational institutions to provide education and keep in touch with students. This software collects and stores student data, and the companies that make them may potentially sell student data. Do This means that data from students' online learning and taking exams can go to college recruits, sports recruits, and even advertisers for educational products.
The information that students gain from using the Internet can be used to find out everything about them, such as what they know, how they think and how they learn. The problem arises when their information is used for purposes other than improving education.
There are currently no rules regarding the sale of data to companies or data brokers for advertising purposes. That is why experts in the field of education also point out that there are flaws in protecting the privacy of students. Students should avoid providing unnecessary information when using the Internet and software.
Champs Write sharing this information only for educational purposes.
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