Descriptive data mining models

What are models for descriptive analysis?
Types of Descriptive Analysis
Measures of Frequency.
Understanding how frequently a specific event or response is likely to occur is crucial for descriptive analysis. Measures of Central Tendency. Measures of Dispersion. Measures of Position. Contingency table. Scatter plots..
What are the descriptive models?
A descriptive model describes a system or other entity and its relationship to its environment.
It is generally used to help specify and/or understand what the system is, what it does, and how it does it.
A geometric model or spatial model is a descriptive model that represents geometric and/or spatial relationships..
What are the methods of descriptive data mining?
Examples of descriptive data mining include clustering, association rule mining, and anomaly detection.
Clustering involves grouping similar objects together, while association rule mining involves identifying relationships between different items in a dataset._{Feb 21, 2023}.
Descriptive analytics is the process of parsing historical data to better understand the changes that occur in a business.
Using a range of historic data and benchmarking, decision-makers obtain a holistic view of performance and trends on which to base business strategy.
Therefore, data mining more closely resembles descriptive statistics.
It was not that long ago that the process of exploring and describing data, descriptive statistics, was seen as the necessary though unglamorous prerequisite to the more important and exciting process of inferential statistics and hypothesis testing.

Data Models Descriptive Data Mining is based on data classification, association, and feature extraction to report the past behavior of the data. Predictive Data mining is based on data classification, time series analysis, and data regression to understand the data and predict future events.

There are two main data mining models types. These are: Predictive and Descriptive. The descriptive model recognizes the designs or relationships in data and discovers the properties of the data studied. For instance, Clustering, Summarization, Association rule, Sequence discovery etc.

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Descriptive data mining models

What are models for descriptive analysis?

Types of Descriptive Analysis

What are the descriptive models?

What are the methods of descriptive data mining?