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首页> 外文期刊>Journal of Intelligent Information Systems >String analysis technique for shopping path in a supermarket
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String analysis technique for shopping path in a supermarket

机译：超市购物路径的字符串分析技术

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摘要

The sensor network technology developed in recent years has made it possible to accurately track the in-store behavior of customers which was previously indeterminable. The information on the in-store behavior of customers obtained by using this technology, namely information on their shopping path, provides us with useful information concerning the customer's purchasing behavior. The purpose of this research is to apply character string analysis techniques to shopping path data so as to analyze customers' in-store behavior, and thereby clarify technical problems with them (the character string analysis techniques) as well as their usability. In this paper we generated character strings on visit patterns to store sections by focusing exclusively on customers stopping by these sections in order to elucidate the visiting patterns of customers who made a large quantity of purchases. In this paper, we were able to discover useful information by using the character string analysis technique EBONSAI, thereby illustrating the usability and usefulness of character string analysis techniques in shopping path analysis.
机译：近年来开发的传感器网络技术使准确跟踪客户以前无法确定的店内行为成为可能。使用此技术获得的有关顾客的店内行为的信息，即有关其购物路径的信息，为我们提供了有关顾客的购买行为的有用信息。这项研究的目的是将字符串分析技术应用于购物路径数据，以便分析顾客的店内行为，从而阐明与顾客有关的技术问题（字符串分析技术）及其可用性。在本文中，我们通过专门关注那些停在这些区域的客户来阐明访问模式以存储区域，以阐明进行大量购买的客户的访问模式。在本文中，我们能够通过使用字符串分析技术EBONSAI发现有用的信息，从而说明了字符串分析技术在购物路径分析中的可用性和实用性。

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