https://m2.mtmt.hu/ hun 2026-03-07 19:29 BookChapter 33589135 VALIDATED true 0 false 2026-01-01T13:12:38.533+0000 2023-07-18T07:55:08.820+0000 2023-01-24T11:33:19.994+0000 true 10035223 Pastyik Endre /api/admin/10035223 Admin Pastyik Endre (ÓE 5 admin) true 10035223 2025-12-28T09:04:10.664+0000 2023-06-05T10:58:19.640+0000 true 10046295 Feketéné Gyarmati Andrea /api/admin/10046295 Admin Feketéné Gyarmati Andrea (ÓE 5 admin) true 10046295 2023-06-09T08:36:11.802+0000 true 10015207 Tamássyné T. Zsuzsa /api/admin/10015207 Admin Tamássyné T. Zsuzsa (OE admin) true 10015207 true false true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType Konferenciaközlemény (Könyvrészlet) 228 true 10000312 true 1 /api/category/1 Category Tudományos true 1 Amira, Marouani 255 260 255 6 2023 Analyzing the tremendous amount of data that the banking industry generates has become a critical step for financial institutions. Firms that fail to leverage the huge stream of data they are able to collect, risk falling behind and missing out on the full benefits that this in-depth and extensive analysis can bring. From better understanding customer behavior and needs to making accurate and profitable decisions, data mining has proven its usefulness and enormous benefits and is now widely recognized as a key component for banks. This study aims to highlight the importance and usefulness of implementing data science algorithms and methods to study customer behavior in the banking sector. The research is based on a case study of a bank in Tunisia where the main focus behind is to assess the risk and creditworthiness of a loan applicant and to eventually determine whether or not these customers are worth keeping. true 2023 true true true true true false NONE 2026-01-01 false 7 0 7 5 2 3 4 0 4 4 4 3 3 5 2 0 7 5 7 5 0 2 2 Folyóiratcikk Journal Article 24 2 Könyvrészlet Chapter in Book 25 5 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2024 0 6 5 6 5 2025 0 1 0 1 0 false false false false 2023-04-27T11:23:32.052+0000 Módszertani és Menedzsment Intézet (ÓE / KGK) 1 17 1 2 0 true 331 true 10002 English /api/language/10002 Angol Language Angol true 2 false true 11205 true 10028 /api/country/10028 Country Szlovákia true 2144988 /api/city/11205 City Herlany, Szlovákia true 10000273 true 25751675 IDENTICAL /api/publicationidentifier/25751675 https://doi.org/10.1109/SAMI58000.2023 10.1109/SAMI58000.2023 PublicationIdentifier DOI: 10.1109/SAMI58000.2023 true 6 DOI https://doi.org/@@@ /api/publicationsource/6 DOI PlainSource DOI true true 10001 /api/publicationsourcetype/10001 PublicationSourceType DOI true true 6 true true true 22819134 /api/publicationidentifier/22819134 https://www.worldcat.org/search?q=isbn%3A9798350319859 9798350319859 PublicationIdentifier ISBN: 9798350319859 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false /api/publication/33553134 IEEE [szerk.]. IEEE 21st World Symposium on Applied Machine Intelligence and Informatics SAMI (2023) : Proceedings. (2023) ISBN:9798350319859 true true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book false false 33553134 false true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Konferenciakötet (Könyv) 345 true 10000144 false Book 2023 true 1 /api/category/1 Category Tudományos true 1 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 106422463 /api/authorship/106422463 Amira, Marouani 1 0.5 true false Amira Marouani true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 106422464 /api/authorship/106422464 Andrea, Tick ✉ [Tick, Andrea (Multimédia, oktat...), szerző] Módszertani és Menedzsment Intézet (ÓE / KGK) 2 0.5 false true true Author 10013528 /api/author/10013528 Tick Andrea (Multimédia, oktatási keretrendszerek, e-learning) Tick Andrea true 10013528 true Andrea Tick true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 23295117 /api/publicationidentifier/23295117 DOI: 10.1109/SAMI58000.2023.10044499 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI58000.2023.10044499 https://doi.org/10.1109/SAMI58000.2023.10044499 false true PublicationIdentifier 23920992 /api/publicationidentifier/23920992 WoS: 000972960800044 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 000972960800044 https://www.webofscience.com/wos/woscc/full-record/000972960800044 false true PublicationIdentifier 24174751 /api/publicationidentifier/24174751 IEEE Xplore: 10044499 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true IDENTICAL 10044499 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=10044499 false true PublicationIdentifier 23256160 /api/publicationidentifier/23256160 Scopus: 85149726599 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85149726599 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85149726599 false true Classification 13154 /api/classification/13154 Marketingmenedzsment true true /api/publication/33589135 Amira Marouani et al. Predictive Modeling to Investigate and Forecast Customer Behaviour in the Banking Sector. (2023) Megjelent: IEEE 21st World Symposium on Applied Machine Intelligence and Informatics SAMI (2023) : Proceedings pp. 255-260<div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Amira Marouani </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10013528"><a href="/gui2/?type=authors&mode=browse&sel=10013528" target="_blank">Andrea Tick ✉ (<span class="authorship-author-name">Tick Andrea</span> <span class="authorAux-mtmt"> Multimédia, oktatási keretrendszerek, e-learning</span>) </a> </span> <span class="author-affil"><span title="Óbudai Egyetem">ÓE</span>/<span title="Keleti Károly Gazdasági Kar">KGK</span>/Módszertani és Menedzsment Intézet</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;33589135" target="_blank">Predictive Modeling to Investigate and Forecast Customer Behaviour in the Banking Sector</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">IEEE</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;33553134" target="_blank">IEEE 21st World Symposium on Applied Machine Intelligence and Informatics SAMI (2023) : Proceedings </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Herlany, Szlovákia <span class="conference-date">2023.01.19. - 2023.01.21.</span> (<span class="conference-organizer">IEEE Hungary Section) </div> <span class="publishedAt">Herlany: <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="page"> pp 255-260 </span> <span class="year">(2023)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SAMI58000.2023.10044499" target="_blank" href="https://doi.org/10.1109/SAMI58000.2023.10044499"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000972960800044" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000972960800044"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10044499" target="_blank" href="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=10044499"> IEEE Xplore </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85149726599" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85149726599"> Scopus </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SAMI58000.2023" target="_blank" href="https://doi.org/10.1109/SAMI58000.2023"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350319859" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350319859"> 9798350319859 </a> </span> </span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 7</span> | Független: 5 | Függő: 2 | Nem jelölt: 0 | Scopus jelölt:&nbsp;4 | WoS/Scopus jelölt:&nbsp;4 | DOI jelölt:&nbsp;4 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;33589135&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 2 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 33589135</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> <span class="long-book-mtid">Befoglaló: 33553134</span> Forrás Idéző | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2023.07.18. 09:55 Feketéné Gyarmati Andrea (ÓE 5 admin) </div> </div> </div>