research-article

Customer profiling using CEP architecture in a Big Data context

Authors:

M. AitkbirAuthors Info & Claims

SCA '18: Proceedings of the 3rd International Conference on Smart City Applications

Article No.: 64, Pages 1 - 6

https://doi.org/10.1145/3286606.3286841

Published: 10 October 2018 Publication History

Abstract

Today Big Data tools are not just a phenomenon of the massive information collection; they are also the best way to approach a customer target. These technologies allow the profiling of the customers of an organization thanks to the histories of purchases, the products that they consult; the data that they share through the social networks. They also make it possible to anticipate the purchase of actions via behavioral analysis. Therefore, the combination of the power of CRM and the performance of BIG DATA tools brings a great added value for customers profile analysis, especially if it is about events triggered in real time. It is in this context that the present work is positioned. Our goal is to intercept events (customer behaviors) and analyze them in real time. We will use the Complex Events Process (CEP) architecture that perfectly meets this need. In order to successfully implement our CEP architecture, we will use the ontology approach.

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I. Astrova, A. Koschel, J. Lukanowski, J. Luis Munoz Martinez, V. Procenko et Marc Schaaf, "Ontologies for Complex Event Processing", World Academy of Science, Engineering and TechnologyInternational Journal of Computer and Information EngineeringVol:8, No:5, 2014.

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Cited By

Sara AM’hamed ASoulaimane A(2024)Green Intelligence: Leveraging AI for Environmental Sustainability (E-Commerce Use Case)International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023)10.1007/978-3-031-54288-6_31(320-326)Online publication date: 1-Mar-2024
https://doi.org/10.1007/978-3-031-54288-6_31
Sharma S(2020)Big Data Analytics for Customer Relationship Management: A Systematic Review and Research AgendaAdvances in Computing and Data Sciences10.1007/978-981-15-6634-9_39(430-438)Online publication date: 18-Jul-2020
https://doi.org/10.1007/978-981-15-6634-9_39
Elyusufi YElyusufi ZKbir M(2020)Social Networks Fake Profiles Detection Using Machine Learning AlgorithmsInnovations in Smart Cities Applications Edition 310.1007/978-3-030-37629-1_3(30-40)Online publication date: 1-Feb-2020
https://doi.org/10.1007/978-3-030-37629-1_3
Show More Cited By

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cover image ACM Other conferences

SCA '18: Proceedings of the 3rd International Conference on Smart City Applications

October 2018

580 pages

ISBN:9781450365628

DOI:10.1145/3286606

Editors:
Ben Ahmed Mohamed
UAE University, FST of Tangier, Morocco
,
Boudhir Anouar Abdelhakim
UAE University, FST of Tangier, Morocco
,
Younes Ali
UAE University, FS of Tetouan, Morocco

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2018

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SCA '18

SCA '18: 3rd International Conference on Smart City Applications

October 10 - 11, 2018

Tetouan, Morocco

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Cited By

Sara AM’hamed ASoulaimane A(2024)Green Intelligence: Leveraging AI for Environmental Sustainability (E-Commerce Use Case)International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023)10.1007/978-3-031-54288-6_31(320-326)Online publication date: 1-Mar-2024
https://doi.org/10.1007/978-3-031-54288-6_31
Sharma S(2020)Big Data Analytics for Customer Relationship Management: A Systematic Review and Research AgendaAdvances in Computing and Data Sciences10.1007/978-981-15-6634-9_39(430-438)Online publication date: 18-Jul-2020
https://doi.org/10.1007/978-981-15-6634-9_39
Elyusufi YElyusufi ZKbir M(2020)Social Networks Fake Profiles Detection Using Machine Learning AlgorithmsInnovations in Smart Cities Applications Edition 310.1007/978-3-030-37629-1_3(30-40)Online publication date: 1-Feb-2020
https://doi.org/10.1007/978-3-030-37629-1_3
Elyusufi YElyusufi ZKbir M(2019)Social networks fake profiles detection based on account setting and activityProceedings of the 4th International Conference on Smart City Applications10.1145/3368756.3369015(1-5)Online publication date: 2-Oct-2019
https://dl.acm.org/doi/10.1145/3368756.3369015

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