Fuzzy Clustering Based Association Rule Mining: A Case Study on Ecommerce

Başar Öztayşi*, Pelin Yurdadön, Sezi Çevik Onar

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Özet

Association rule mining (ARM) refers to a procedure that focuses on finding frequent patterns in various data sources. The most commonly used area is the retail sales data and rules which show an association between sales of two products are investigated. To this end, sales data is preprocessed, and algorithms are used to find the association rules by using the specific threshold values of Support and Confidence parameters. In this study, we investigated the effects of using fuzzy clustering with association rule mining. A case study from the E-commerce area is selected and sales data for a specific period is analyzed. First ARM is applied to the whole data, then the data is segmented by using Fuzzy Clustering, and ARM is applied to all segments. Later the resulting rules are compared and the effects of segmentation on ARM results are analyzed.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar112-118
Sayfa sayısı7
ISBN (Basılı)9783031091728
DOI'lar
Yayın durumuYayınlandı - 2022
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey
Süre: 19 Tem 202221 Tem 2022

Yayın serisi

AdıLecture Notes in Networks and Systems
Hacim504 LNNS
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Ülke/BölgeTurkey
ŞehirIzmir
Periyot19/07/2221/07/22

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Finansman

Acknowledgements. This work is supported by TUBITAK (The Scientific and Technological Research Council of Turkey) under project number 3180641.

FinansörlerFinansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu3180641

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