What is the mining of the data current?
Diming of data currents is a strategy that includes the identification and extraction of information from the active data current. This approach is the idea of pulling data without creating any type of interruption in the current itself, which also allows others to use data, even if the extraction occurs. This type of data flow mining may include various data, from voice to video transfer over the Internet and even to everyday tasks, such as taking money from a bank account using an automated cashier computer or organizing a telephone conversation.
One of the characteristics of data flow mining is the ability to precisely project or predict how to find the required information and what types of knowledge to identify knowledge in locating and successful extraction of the required information. For example, when a customer initiates a transaction using an automated teller machine, programming for the machine initiates relevant account information and then determines whether CasThe transaction will reduce the account balance under the permissible amount based on the method of the structured account. From there, programming can return relevant data to the user, such as the documentation of successful completion of the required transaction and ensuring the account balance after recording the loan or debit associated with the transaction.
Another common example of data flow mining is the basic search on the web using a browser. With this application, the end user enters a search value and software that controls the browser, seeks to interpret these values and return data that is of some importance for search criteria. Depending on how the browser is configured, this may also include a feature that seeks to predict the intention of searching Anabíza Other words or phrases that can help more search by user taste. Once the user settles on the search phrase, the browser returns the statementEdky by rating using algorithms that are relevant to the browser configuration.
One of the main advantages of data flow mining is the ability to access and search for data without actually forbidden to use the same data. Because the data streams are constantly updated, the results of extraction may change from time to time. For example, executing on the web using a specific search phrase can bring one set of results today, but tomorrow to provide a slightly different set of results based on what new information has entered into the data current and how the search engine is ranked.