What is the data mining agent?

Data mining agent is a pseudo-intelligent computer program designed for a ferret of specific data types and identifying formulas between these types of data. Data mining agents are usually used to detect trends in data, alert the organizations to the paradigm of the shift, so effective strategies can be implemented to use or minimize damage to changes in trends. In addition to reading patterns, data mining agents can also "pull" or "retrieve" relevant data from databases and notify the end users of the presence of selected information. In fact, data mining agent is nothing but an employee who has the task of sorting employees through records to perform one or more very specific jobs. For example, data mining agent could be programmed to monitor shares prices for a specific extent of companies and throw away the red flag if it notices any substantial deviations from the historical trend. Data mining agents are a bit like smoke alARM; They only throw out signals if something really happens in the system.

In this way, the data mining agent operates to save valuable employees, because it is no longer necessary to assign these basic roles monitoring to specific employees. This liberates men's lessons in the organization and allows employees to distract their attention elsewhere while data mining agents warn them that something in the system is actually worth observing. Without the use of data mining agents, individual employees would have to observe and record changes in the systems respondents daily.

In addition, data mining agents can be used to browse through database records and load specific information required, which would otherwise show tiring or difficult to obtain for humans. For example, a data mining agent can easily and tirelessly sievedough millions of records find something as tedious as “all the sales exceeding$ 50 from January 1, 2001 to March 25, 2009. ” While one could be tired and, with a particularly long and boring search, an agent for data mining can never load its set goal.

Although useful, data mining agents have their limitations. With the current state of artificial intelligence technology, it is difficult to detect hidden or complex patterns more efficiently than a qualified person for data mining devices. While data mining agents have their place in a rotte or narrowed observations with specially defined parameters, they are not suitable for highly detailed formulas or those that require a touch of human intuition.