The expression"Data Mining" refers to an analysis technique that is utilized to acquire a huge volume of information and documents without the knowledge of a specific subject. This is achieved by first selecting a subject that's already established, then processing it using some form of data mining techniques.
The practice of data mining also includes the collecting of information from a company or company so the perpetrators can determine any information about past offenses. The benefits of data mining are numerous and with this technique, an individual can get the information about companies and their employees.
Data mining was first popularized by Tom Peters in his book entitled"Databases and Data Mining". After writing the book, he has started a consultancy firm named Cyber Defense Corporation. Tom states that data mining is a method that can be used in order to extract important data from a large data set that is publicly accessible without the understanding of the company.
Penetration testing, for example, is a similar method which can be utilised to be able to detect any threats or vulnerabilities which were introduced via an application. The information gathered from a proper Penetration Testing can be used to further protect the web and any systems which are involved in making it. With the greater usage of those methods, many businesses are turning to such methods to help protect themselves from cyber attacks.
Data mining may also be used to test a system's capabilities. Cyber security businesses have made data mining into a vital part of their data safety test methodology.
Forensic testing can help detect any problems in a method. The forensic testing technique is one which can be utilised so as to see how well a system can work under normal circumstances and ina natural catastrophe scenario.
Forensic testing methods that use data mining are usually used for civil or criminal investigations. For instance, a criminal could use data mining to find out if their internet service provider or computer system is legitimate or not.
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