Class discrimination is defined as classism. It is prejudice or discrimination based on social class. It involves individual attitudes, behaviors, systems of policies, and practices that are set up to benefit the upper class at the amount as the lower class.Classism can define personal prejudice against lower classes and institutional ... Read More

Machine learning is an application of Artificial Intelligence that supports an architecture with the capability to learn and enhance from experience without being definitely programmed automatically.It can be used by search engines including Google and Bing to rank internet pages or to determine which advertisement to display to which user. ... Read More

Data generalization summarizes data by replacing relatively low-level values (including numeric value for attribute age) with high-level concepts (including young, middle-aged, and senior). Therefore, it is a process that abstracts a huge set of task-relevant information in a database from a relatively low conceptual level to higher conceptual levels.Following are ... Read More

Agglomerative clustering is a bottom-up clustering method where clusters have subclusters, which in turn have sub-clusters, etc. It can start by placing each object in its cluster and then mix these atomic clusters into higher and higher clusters until all the objects are in an individual cluster or until it ... Read More

Association rule learning is a type of unsupervised learning methods that tests for the dependence of one data element on another data element and create appropriately so that it can be more effective. It tries to discover some interesting relations or relations among the variables of the dataset. It depends ... Read More

Concept DescriptionConcept Description is a definitive type of data mining. It defines a set of data including frequent buyers, graduate candidates, etc. It describes the characterization and comparison of the data. It is also known as a class description when the concept to be described is defined as a class ... Read More

Market basket analysis does not represent an individual method and it represents a set of business issues related to understanding point-of-sale transaction data. Market basket data is transaction data that represents three fundamentally different entities such as users, orders (also called purchases or baskets or, in academic papers, item sets) ... Read More

KDD represents Knowledge Discovery in Databases. It defines the broad process of discovering knowledge in data and emphasizes the high-level applications of definite data mining techniques. It is an area of interest to researchers in several fields, such as artificial intelligence, machine learning, pattern recognition, databases, statistics, knowledge acquisition for ... Read More

Association rule learning is a type of unsupervised learning methods that tests for the dependence of one data element on another data element and create appropriately so that it can be more effective. It tries to discover some interesting relations or relations among the variables of the dataset. It depends ... Read More

Data Mining is the procedure of selection, exploration, and modeling of high quantities of information to find regularities or relations that are at first unknown to obtain clear and beneficial results for the owner of the database.Data mining is an interdisciplinary field, the assemblage of a set of disciplines, such ... Read More