Method for optimizing business state of expressway service area

Abstract

The invention provides a method for optimizing the business state of an expressway service area, and the method comprises the following steps: S1, obtaining consumption data of target expressway service area users in N days, the consumption data at least comprises a commodity name, purchasing time and purchasing amount, and N is an integer greater than 1; s2, preprocessing the consumption data toobtain proximity R, frequency F and intensity M; s3, according to the proximity R, the frequency F and the intensity M in the step S2, classifying the users by adopting a K-Means clustering algorithm;and S4, mining consumption behaviors of the users of each category, and obtaining a set of user consumption preferences. According to the invention, the customers are classified by using the clustering algorithm; and then according to different types of customers, products purchased by the customers in shopping data are taken as a transaction set, and a frequent item set of the shopping productsof the customers is determined based on an FP-Growth algorithm, so that the products with the highest purchasing frequency of the customers are known, and data reference is provided for expressway services.

Description

technical field [0001] The invention relates to the field of service optimization, in particular to a method for optimizing the format of expressway service areas. Background technique [0002] The "big data era" we live in is an intelligent era that has been upgraded and evolved from the information age. The "big data era" is no longer limited to information sharing, but more focused on the intelligent application of information. Data is no longer a worthless "by-product" of social production; on the contrary, data has become a renewable and valuable Huge means of production. Massive data contains massive amounts of information and hides huge value. Through the analysis and mining of data, not only can the existing phenomena be described and explained in depth, but also the service can be optimized. The existing expressway service area is generally only Customers provide refueling, retail and other services, which are difficult to meet the individual needs of customers, a...

AI Technical Summary

Problems solved by technology

Massive data contains massive amounts of information and hides huge value. Through the analysis and mining of data, not only can the existing phenomena be described and explained in depth, but also the service can be optimized. The existing expressway service area is generally only Customers provide refueling, retail and other services, which are difficult to meet the individual needs of customers, and there are problems such as single service format, imperfect structure, and low level of matching services

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