Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization-Reference-Cited by-同舟云学术

Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization

Published:2020-01-09 Issue:1 Volume:38 Page:675-684
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Dogan Onur¹,Oztaysi Basar²,Fernandez-Llatas Carlos³

Affiliation:

1. Izmir Bakircay University, Department of Industrial Engineering, Gazi Mustafa Kemal Mahallesi, Kaynaklar Caddesi, Izmir, Turkey

2. Istanbul Technical University, Department of Industrial Engineering, Istanbul, Turkey

3. Instituto Universitario de Investigación de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera S/N, Valencia, Spain

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference43 articles.

1. Analyzing of gender behaviors from paths using process mining: A shopping mall application;Dogan;Sensors,2019

2. Genders prediction from indoor customer paths by Levenshtein-based fuzzy kNN;Dogan;Expert Systems with Applications,2019

3. In-store behavioral analytics technology selection using fuzzy decision making;Dogan;Journal of Enterprise Information Management,2018

4. A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs;De Leoni;Information Systems,2016

5. Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls;Arroyo;Expert systems with Applications,2015

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