For example, take a company that uses AI, machine learning, and descriptive analytics to analyze historical sales data and customer demographics. This analysis can deliver tangible benefits for demand ...

Learn what descriptive research questions are, why they are important, and how to formulate them in interpreting. Find examples of descriptive research questions on various interpreting topics and ...

Descriptive statistics can also be used to identify relationships and trends in data. Examples of descriptive statistics include measures of central tendency, measures of variability, measures of ...

Exceptional Model Mining is a descriptive data mining technique to find interesting patterns in datasets. This package contains a Python inmplementation of Exceptional Model Mining that can be applied ...

To facilitate interpretation and consider the relationships of internal interdependency between data values, a new form of high-order (multiple-valued) pattern known as Nested High-Order Pattern (NHOP ...

Descriptive analyses Descriptive analyses were conducted to (a) describe any seasonal patterns of COVID-19 and influenza, (b) identify a cocirculation pattern between COVID-19 and influenza, (c) ...

Exceptional Model Mining (EMM) Excetional Model Mining is a descriptive modeling technique to discover interesting patterns in datasets. Whether a pattern is exceptional or not is often quite ...

Descriptive statistics are a set of brief descriptive coefficients that summarize a given dataset representative of an entire or sample population.