Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
In this article, the insights of a garment retail store have been studied with
respect to the attributes of the dresses and sales information. Mention that each dress in
fashion retail has several attributes or features. These features play a critical role in the
selection of consumers or customers. This study tries to establish the relationship
among these features by which the importance of the attributes is evaluated concerning
sales. Furthermore, this paper tries to automate the process of the recommendation of
the dresses by using these attributes. It is merely a binary classification but useful for
retail sales. Moreover, the demand for sales is estimated over a period. All these
objectives are achieved through using one or more data science techniques. The case
study shows that the algorithms of data science are helpful in the decision-making of
fashion retail.
Keywords:
Categorical Features, Data Wrangling, Feature Engineering, Market Basket Analysis, Time Series Forecasting.
We recommend
Authors:Bentham Science Books