The Experts below are selected from a list of 430257 Experts worldwide ranked by ideXlab platform
Carine Souveyet - One of the best experts on this subject based on the ideXlab platform.
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Machine Learning for a Context Mining Facility
2020Co-Authors: Nourhene Ben Rabah, Bénédicte Le Grand, Ali Jaffal, Manuele Kirsch Pinheiro, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
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PerCom Workshops - Machine Learning for a Context Mining Facility
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020Co-Authors: Nourhene Ben Rabah, Manuele Kirsch Pinheiro, Bénédicte Le Grand, Ali Jaffal, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
Nourhene Ben Rabah - One of the best experts on this subject based on the ideXlab platform.
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Machine Learning for a Context Mining Facility
2020Co-Authors: Nourhene Ben Rabah, Bénédicte Le Grand, Ali Jaffal, Manuele Kirsch Pinheiro, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
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PerCom Workshops - Machine Learning for a Context Mining Facility
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020Co-Authors: Nourhene Ben Rabah, Manuele Kirsch Pinheiro, Bénédicte Le Grand, Ali Jaffal, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
Bénédicte Le Grand - One of the best experts on this subject based on the ideXlab platform.
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Machine Learning for a Context Mining Facility
2020Co-Authors: Nourhene Ben Rabah, Bénédicte Le Grand, Ali Jaffal, Manuele Kirsch Pinheiro, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
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PerCom Workshops - Machine Learning for a Context Mining Facility
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020Co-Authors: Nourhene Ben Rabah, Manuele Kirsch Pinheiro, Bénédicte Le Grand, Ali Jaffal, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
Ali Jaffal - One of the best experts on this subject based on the ideXlab platform.
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Machine Learning for a Context Mining Facility
2020Co-Authors: Nourhene Ben Rabah, Bénédicte Le Grand, Ali Jaffal, Manuele Kirsch Pinheiro, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
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PerCom Workshops - Machine Learning for a Context Mining Facility
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020Co-Authors: Nourhene Ben Rabah, Manuele Kirsch Pinheiro, Bénédicte Le Grand, Ali Jaffal, Carine SouveyetAbstract:This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the System scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System Level, pointing to the potential and to the challenges raised by this perspective.
Oliviero Riganelli - One of the best experts on this subject based on the ideXlab platform.
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A Rule-Driven Business Process Design
2007 29th International Conference on Information Technology Interfaces, 2007Co-Authors: Flavio Corradini, G Meschini, Alberto Polzonetti, Oliviero RiganelliAbstract:Business rules represent the core of an administration and affect either the business processes or the behaviours of the System participants. The rules are expressions that define or constrain business aspects of each administration. They are used to create and validate business structures or to check the process behaviour. Rules are implicitly expressed in any domain and in any type of document or application at Information System Level. In this work we analyze and propose a framework to support the generation of business process specifications taking advantage of business rules separation.
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2007Co-Authors: Flavio Corradini, G Meschini, Alberto Polzonetti, Oliviero RiganelliAbstract:Business rules represent the core of an administration and affect either the business processes or the behaviours of the System participants. The rules are expressions that define or constrain business aspects of each administration. They are used to create and validate business structures or to check the process behaviour. Rules are implicitly expressed in any domain and in any type of document or application at Information System Level. In this work we analyze and propose a framework to support the generation of business process specifications taking advantage of business rules separation.