No Cover Image

Conference Paper/Proceeding/Abstract 604 views

Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report

Anastasia Griva Orcid Logo, Denis Dennehy Orcid Logo

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, Pages: 545 - 551

Swansea University Author: Denis Dennehy Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1007/978-3-030-85447-8_45

Published in: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
ISBN: 9783030854461 9783030854478
ISSN: 0302-9743 1611-3349
Published: Cham Springer International Publishing 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa59530
first_indexed 2022-03-11T11:54:48Z
last_indexed 2022-04-01T03:20:01Z
id cronfa59530
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-03-31T16:33:48.9678247</datestamp><bib-version>v2</bib-version><id>59530</id><entry>2022-03-08</entry><title>Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report</title><swanseaauthors><author><sid>ba782cbe94139075e5418dc9274e8304</sid><ORCID>0000-0001-9931-762X</ORCID><firstname>Denis</firstname><surname>Dennehy</surname><name>Denis Dennehy</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-03-08</date><deptcode>CBAE</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>Responsible AI and Analytics for an Ethical and Inclusive Digitized Society</journal><volume/><journalNumber/><paginationStart>545</paginationStart><paginationEnd>551</paginationEnd><publisher>Springer International Publishing</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783030854461</isbnPrint><isbnElectronic>9783030854478</isbnElectronic><issnPrint>0302-9743</issnPrint><issnElectronic>1611-3349</issnElectronic><keywords>Retail analytics; Business analytics; Data mining; e-commerce</keywords><publishedDay>25</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-08-25</publishedDate><doi>10.1007/978-3-030-85447-8_45</doi><url/><notes/><college>COLLEGE NANME</college><department>Management School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CBAE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2022-03-31T16:33:48.9678247</lastEdited><Created>2022-03-08T14:33:20.3220159</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Anastasia</firstname><surname>Griva</surname><orcid>0000-0001-8346-9389</orcid><order>1</order></author><author><firstname>Denis</firstname><surname>Dennehy</surname><orcid>0000-0001-9931-762X</orcid><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2022-03-31T16:33:48.9678247 v2 59530 2022-03-08 Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 2022-03-08 CBAE Conference Paper/Proceeding/Abstract Responsible AI and Analytics for an Ethical and Inclusive Digitized Society 545 551 Springer International Publishing Cham 9783030854461 9783030854478 0302-9743 1611-3349 Retail analytics; Business analytics; Data mining; e-commerce 25 8 2021 2021-08-25 10.1007/978-3-030-85447-8_45 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University 2022-03-31T16:33:48.9678247 2022-03-08T14:33:20.3220159 Faculty of Humanities and Social Sciences School of Management - Business Management Anastasia Griva 0000-0001-8346-9389 1 Denis Dennehy 0000-0001-9931-762X 2
title Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report
spellingShingle Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report
Denis Dennehy
title_short Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report
title_full Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report
title_fullStr Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report
title_full_unstemmed Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report
title_sort Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report
author_id_str_mv ba782cbe94139075e5418dc9274e8304
author_id_fullname_str_mv ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy
author Denis Dennehy
author2 Anastasia Griva
Denis Dennehy
format Conference Paper/Proceeding/Abstract
container_title Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
container_start_page 545
publishDate 2021
institution Swansea University
isbn 9783030854461
9783030854478
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-030-85447-8_45
publisher Springer International Publishing
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
active_str 0
published_date 2021-08-25T02:22:53Z
_version_ 1821279805074571264
score 11.047306

Similar Items