The full form of SPAN port is "Switch Port Analyzer", which is used to designed specifically for the interface on a network device, that would be able to monitor all traffic passing across the entire device.
The use of this port will also call the mirror ports, that is a popular way of gathering data traffic for tracking purposes.
It is primarily used to access the bus switch and all interfaces, which is usually accessible from data transmission.
<span>Consider
the cement used for the foundation; the bricks and timber used for the
walls; and the shingles used for the roof. All of these are __________
in making the house.
It is a computer aided technique of searching and evaluating a bulk of data in order to obtain useful information.
This technique searches through the data to find hidden patterns and uses statistical methods to find relationship among data for finding predictive information and for classification of data.
This is a mixture of different disciplines which include machine learning, statistics and artificial intelligence and also some mathematical methods.
Often the useful information is extracted from enormous database using modeling technique which is used to build a model from instances of the data where the solution is known and later apply this model on the instances where the solution is unknown.
In unsupervised data mining, the data analysis is not done by using modeling technique. In other words the labels are provided in order not draw inferences and prediction from data sets. Example is clustering.
In supervised data mining the model is developed to make inferences and classification. Example is neural networks.
For example data mining is used in Medicine industry to provide more accurate diagnostics and treatments on the basis of patient's medical history , physical examination or different patient tests data.
Data mining also makes it possible to manage health resources more efficiently and cost-effectively by detecting risks, predicting diseases in certain sections of the population or predicting hospitalization duration.
