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Articles by Ginni
Page 63 of 124
What is the difference Between Trademark and Domain Name?
Let us begin by understanding what a trademark is.TrademarkA Trademark is represented as a “brand” or “logo”. A trademark is a set of letters, words, sounds, or designs that categorize one company’s goods or services from those of others in the forum. Trademark protection is applicable for specific names, symbols, devices, or words that will be used in connection with a good or service. Technically, if a specific mark is related to a service, it is known as a "service mark, " but a trademark is generally used to define both marks related to services and goods.The goal of trademarks ...
Read MoreWhat is the difference between Internet, Intranet and Extranet?
Let us begin by learning about the internet.InternetThe Internet is the biggest network that connects millions of computers worldwide. It is a team of a network including public, private, government, universities, school, and other academic and business networks linked by several technologies including wireless, optical, and electronic.Internet usage is the calculation (defined in bytes, kilobytes, megabytes, or gigabytes) of the amount of data streaming through your computer and the Internet network for a specific time. These data are shared in both directions such as from the Internet network to your device (download), and from your device to the Internet network ...
Read MoreWhat is the difference between an IP Camera and CCTV Camera?
Let us begin by understanding what an IP Camera is.IP CameraIP camera is a network digital camera that need the Internet Protocol (IP) and has its IP address. An IP camera is used when defining video surveillance cameras.An IP camera uses an Ethernet cable and sends a digital signal. This type of camera can be simply networked and can send a signal to a network video recorder (NVR) placed on a local or remote network.IP cameras tend to capture better quality pictures, which is especially beneficial in the case of transferring targets, as frame rates can be adjusted according to ...
Read MoreWhat is Data Extraction?
Extraction is the service of extracting information from a source system for additional help in a data warehouse environment. It is the first procedure of the ETL process. After the extraction, this data can be changed and loaded into the data warehouse. The source systems for a data warehouse are usually transaction processing software. It is the source systems for a sales analysis data warehouse can be an order entry system that data all of the current order activities.Data extraction is where data is considered and moved through to fetch relevant information from data sources (such as database) in a ...
Read MoreWhat are the advantages and disadvantages of Artificial Neural Networks?
An artificial neural network is a system located on the services of biological neural networks. It is a simulation of a biological neural system. The characteristic of artificial neural networks is that there are multiple architectures, which consequently needed several methods of algorithms, but despite being a complex system, a neural network is nearly simple.These networks are among the unique signal-processing technologies in the director’s toolbox. The area is highly interdisciplinary, but this method will restrict the look to the engineering outlook.In engineering, neural networks deliver two important functions as pattern classifiers and as non-linear adaptive filters. An Artificial Neural ...
Read MoreWhat are the approaches to Tree Pruning?
Pruning is the procedure that decreases the size of decision trees. It can decrease the risk of overfitting by defining the size of the tree or eliminating areas of the tree that support little power. Pruning supports by trimming the branches that follow anomalies in the training information because of noise or outliers and supports the original tree in a method that enhances the generalization efficiency of the tree.Various methods generally use statistical measures to delete the least reliable departments, frequently resulting in quicker classification and an improvement in the capability of the tree to properly classify independent test data.There ...
Read MoreWhat is a Decision Tree?
A decision tree is a flow-chart-like tree mechanism, where each internal node indicates a test on an attribute, each department defines an outcome of the test, and leaf nodes describe classes or class distributions. The highest node in a tree is the root node.Algorithms for learning Decision TreesAlgorithm − Create a decision tree from the given training information.Input − The training samples, samples, described by discrete-valued attributes; the set of students attributes, attribute-list.Output − A decision tree.MethodCreate a node N;If samples are all of the same class, C thenReturn N as a leaf node labeled with the class CIf the ...
Read MoreWhat are the types of statistical-based algorithms?
There are two types of statistical-based algorithms which are as follows −Regression − Regression issues deal with the evaluation of an output value located on input values. When utilized for classification, the input values are values from the database and the output values define the classes. Regression can be used to clarify classification issues, but it is used for different applications including forecasting. The elementary form of regression is simple linear regression that includes only one predictor and a prediction.Regression can be used to implement classification using two various methods which are as follows −Division − The data are divided ...
Read MoreWhat are the various Issues regarding Classification and Prediction in data mining?
There are the following pre-processing steps that can be used to the data to facilitate boost the accuracy, effectiveness, and scalability of the classification or prediction phase which are as follows −Data cleaning − This defines the pre-processing of data to eliminate or reduce noise by using smoothing methods and the operation of missing values (e.g., by restoring a missing value with the most generally appearing value for that attribute, or with the best probable value established on statistics). Although various classification algorithms have some structures for managing noisy or missing information, this step can support reducing confusion during learning.Relevance ...
Read MoreWhat is Data Classification?
Classification is a data mining approach used to forecast team membership for data instances. It is a two-step procedure. In the first step, a model is built defining a predetermined set of data classes or approaches. The model is developed by considering database tuples defined by attributes.Each tuple is considered to belong to a predefined class, as decided by one of the attributes, known as the class label attribute. In the framework of classification, data tuples are also defined as samples, examples, or objects. The data tuples analyzed to develop the model jointly form the training data set. The single ...
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