Application of Edge Computing and Data Mining Processing System in Preschool Education Courses

Table 2

Detailed introduction of data mining functions.

Subfunction	Meaning	Methods	Output	Example
Data characterization	Characterisation of data refers to a collection of general features or characteristics of the target class data, often using queries to collect data corresponding to user-specified classes.	Simple data summarization based on statistical measures and graphs, OLAP roll-up operation based on data cubes and attribute-oriented induction techniques are adopted.	Graph method (e.g., pie chart, bar chart, curve, and so on) and generalized relation and rule description method.	To investigate the characteristics of an aquatic product with a 5% increase in sales in the previous quarter, data on this product can be collected by executing SQL queries on the sales database.
Data to distinguish between	Compares the general characteristics of the target class data object with those of one or more contrast class data objects.	The methods used for data differentiation are similar to those used for data characterization.	The form generally includes comparison measures to help distinguish the target class from the comparison class.	Users want to compare the 5% increase in sales of aquatic products in the last quarter with the 20% decrease in sales of aquatic products in the same period.

Let Δ = R × RN⟶ R in N-dimensional real number space Ω; then, Δ is a metric (distance) on RN, if Δ satisfies the following conditions.