Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques

Ahmet Talha Yiğit; Tolga Kaya; Utku Doğruak

doi:10.1007/978-3-030-51156-2_11

Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques

Ahmet Talha Yiğit^*, Tolga Kaya, Utku Doğruak

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

In this paper, using individual tobacco panel data, a novel and behavioral approach based on sequence clustering techniques is proposed to have a deeper understanding of different behavior types of Turkish tobacco users during the consecutive price markups of 6th April and 2nd May in 2019. To achieve this, main brands before markups are determined for each of the 5052 individuals. Then, having some prior assumptions, their purchase behaviors are obtained as time-stamped event sequences. Finally, while a portion of the obtained sequences which are less complex are segmented with empirical analyses, the rest of them are segmented using hierarchical clustering with optimal matching event (OME) distance. Results suggested seven main type of behavior among the tobacco users in Turkey during the markup period.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısı	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer
Sayfalar	79-86
Sayfa sayısı	8
ISBN (Basılı)	9783030511555
DOI'lar	https://doi.org/10.1007/978-3-030-51156-2_11
Yayın durumu	Yayınlandı - 2021
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Süre: 21 Tem 2020 → 23 Tem 2020

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1197 AISC
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	21/07/20 → 23/07/20

Bibliyografik not

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-51156-2_11

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Yiğit, A. T., Kaya, T., & Doğruak, U. (2021). Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 79-86). (Advances in Intelligent Systems and Computing; Hac. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_11

Yiğit, Ahmet Talha ; Kaya, Tolga ; Doğruak, Utku. / Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 79-86 (Advances in Intelligent Systems and Computing).

@inproceedings{2f4fce279e7e456bb166f8dcedd6c7ab,

title = "Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques",

abstract = "In this paper, using individual tobacco panel data, a novel and behavioral approach based on sequence clustering techniques is proposed to have a deeper understanding of different behavior types of Turkish tobacco users during the consecutive price markups of 6th April and 2nd May in 2019. To achieve this, main brands before markups are determined for each of the 5052 individuals. Then, having some prior assumptions, their purchase behaviors are obtained as time-stamped event sequences. Finally, while a portion of the obtained sequences which are less complex are segmented with empirical analyses, the rest of them are segmented using hierarchical clustering with optimal matching event (OME) distance. Results suggested seven main type of behavior among the tobacco users in Turkey during the markup period.",

keywords = "Hierarchical clustering, Individual tobacco panel, Sequence analysis, Sequence clustering, Unsupervised learning",

author = "Yiğit, {Ahmet Talha} and Tolga Kaya and Utku Doğruak",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51156-2_11",

language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "79--86",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and Tolga, {A. Cagri}",

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

}

Yiğit, AT, Kaya, T & Doğruak, U 2021, Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, hac. 1197 AISC, Springer, pp. 79-86, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_11

Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques. / Yiğit, Ahmet Talha; Kaya, Tolga; Doğruak, Utku.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 79-86 (Advances in Intelligent Systems and Computing; Hac. 1197 AISC).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques

AU - Yiğit, Ahmet Talha

AU - Kaya, Tolga

AU - Doğruak, Utku

PY - 2021

Y1 - 2021

N2 - In this paper, using individual tobacco panel data, a novel and behavioral approach based on sequence clustering techniques is proposed to have a deeper understanding of different behavior types of Turkish tobacco users during the consecutive price markups of 6th April and 2nd May in 2019. To achieve this, main brands before markups are determined for each of the 5052 individuals. Then, having some prior assumptions, their purchase behaviors are obtained as time-stamped event sequences. Finally, while a portion of the obtained sequences which are less complex are segmented with empirical analyses, the rest of them are segmented using hierarchical clustering with optimal matching event (OME) distance. Results suggested seven main type of behavior among the tobacco users in Turkey during the markup period.

AB - In this paper, using individual tobacco panel data, a novel and behavioral approach based on sequence clustering techniques is proposed to have a deeper understanding of different behavior types of Turkish tobacco users during the consecutive price markups of 6th April and 2nd May in 2019. To achieve this, main brands before markups are determined for each of the 5052 individuals. Then, having some prior assumptions, their purchase behaviors are obtained as time-stamped event sequences. Finally, while a portion of the obtained sequences which are less complex are segmented with empirical analyses, the rest of them are segmented using hierarchical clustering with optimal matching event (OME) distance. Results suggested seven main type of behavior among the tobacco users in Turkey during the markup period.

KW - Hierarchical clustering

KW - Individual tobacco panel

KW - Sequence analysis

KW - Sequence clustering

KW - Unsupervised learning

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U2 - 10.1007/978-3-030-51156-2_11

DO - 10.1007/978-3-030-51156-2_11

M3 - Conference contribution

AN - SCOPUS:85088752865

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 79

EP - 86

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Yiğit AT, Kaya T, Doğruak U. Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 79-86. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_11

Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap