Data Generalization And thought comment oppugn forgeing The convalescence of info from informationbases, and the occupation of aggregate functions ( such as summation, counting, etc.) to the selective information represent an important functionality of entropybase systems. However, dubiousness processing is non data mining. Query processing: Retrieves sets of data from databases and can compute aggregate functions on the retrieved data. Data mining: analyzes the data and discovers interesting patterns hidden in the database. What is opinion description? A concept usually refers to a aggregation of data such as stereos, frequent buyers, grad students, and so on. As a data mining task, concept description is not a simple enumeration of the data. Instead, it generates descriptions for act and comparison of the data. Concept description is sometimes called class description when the concept to be described refers to a class of objec ts. moving-picture show provides a compendious and outline summarization of the given collection of data. Concept or class comparison (also known as discrimination) provides descriptions comparing two or more collections of data. What is Data elicitation?

Is a process which abstracts a large set of task-relevant data in a database from a relatively low conceptual level to high conceptual levels. Concept description has rigorous ties with data generalization. devoted the large amount of data stored in databases, it is useful to be able to describe concepts in brief terms at reason out (rather than low) levels of abstra ction. Allowing data sets to be generalized ! at two-fold levels of abstraction facilitates users in examining the general behavior of the data. sample: effrontery the All Electronics database, for example, instead of examining individual customer transactions, gross revenue managers may prefer to view the data generalized to higher(prenominal) levels, such as summarized by customer groups...If you want to mature a full essay, order it on our website:
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