C4.5: programs for machine learning
C4.5: programs for machine learning
A machine discovery from amino acid sequences by decision trees over regular patterns
Selected papers of international conference on Fifth generation computer systems 92
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Mining Pharmacy Data Helps to Make Profits
Data Mining and Knowledge Discovery
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
A practical algorithm to find the best subsequence patterns
Theoretical Computer Science
Information Technology and Management
Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability
Decision Support Systems
Exploring the inherent benefits of RFID and automated self-serve checkouts in a B2C environment
International Journal of Business Information Systems
RFID in retail: a framework for examining consumers' ethical perceptions
International Journal of Mobile Communications
Data Mining for Design and Marketing
Data Mining for Design and Marketing
Extracting promising sequential patterns from RFID data using the LCM sequence
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
The influence of shopping path length on purchase behavior in grocery store
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Extraction of customer potential value using unpurchased items and in-store movements
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Evaluation of the Shopping Path to Distinguish Customers Using a RFID Dataset
International Journal of Organizational and Collective Intelligence
Sales strategy mining system with visualization of action history
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
Extracting users' interest from book-browsing behaviors recorded with RFID
International Journal of Knowledge-based and Intelligent Engineering Systems - Intelligent Information Processing: Techniques and Applications
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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.