What is concept hierarchy in data mining?

etc. As one of the useful background knowledge, concept hierarchies organize data or concepts in hierarchical forms or in certain partial order, which are used for expressing knowledge in concise, high-level terms, and facilitating mining knowledge at multiple levels of abstraction.Click to see full answer. Also asked, what is the concept of hierarchy?A hierarchy is…

etc. As one of the useful background knowledge, concept hierarchies organize data or concepts in hierarchical forms or in certain partial order, which are used for expressing knowledge in concise, high-level terms, and facilitating mining knowledge at multiple levels of abstraction.Click to see full answer. Also asked, what is the concept of hierarchy?A hierarchy is an organizational structure in which items are ranked according to levels of importance. Most governments, corporations and organized religions are hierarchical. In a computing context, there are various types of hierarchical systems.Secondly, what is data Discretization and concept hierarchy generation? Data Discretization & Concept hierarchy generation. Data discretization techniques can be used to reduce the number of values for a given continuous attribute by dividing the range of the attribute into intervals. A concept hierarchy for a given numerical attribute defines a discretization of the attribute. In this way, what is meant by hierarchy generation? Concept Hierarchy reduce the data by collecting and replacing low level concepts (such as numeric values for the attribute age) by higher level concepts (such as young, middle-aged, or senior). Concept hierarchy generation for numeric data is as follows: Binning (see sections before)What is concept description in data mining?Concept description, which characterizes a collection of data and compares it with others in a concise and succinct manner, is an essential task in data mining. Concept description can be presented in many forms, including generalized relation, cross-tabulation (or briefly, crosstab), chart, graph, etc.

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