Article
Journal :
Ingénierie des Systèmes d'Information
ISSN : 1633-1311
Information
Period : February 2022
Volume : 27 Number : 1
Pages : 101-109
Details
Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services.
Oum Elhana Maamra Mohamed-Khireddine Kholladi Okba Kazar Saad Harous
The Internet of Things (IoT) and the recent advancements in cloud computing have gained importance with the surge in the amount of data generated globally. Moreover, the rapidly increasing applications of the Internet in many scientific and real-time practical applications have ushered in a new era of complex applications of data flow. Tourism and related services are routinely accessed by millions of customers worldwide. Furthermore, with newer, attractive, rapidly growing services, it has become essential for dealers to promote their services using up-to-date technological tools. The major challenge is to efficiently determine and select the best travel options conforming to the needs and financial requirements of the customers. In this study, the use of a dynamic skyline operator for multicriteria decisions is examined using a time-dependent database to select the best services. Moreover, the impact of implementing the operator on optimizing resource consumption is explored. Results indicate that the implementation of this operator is more efficient than the existing techniques.
Key words :
Internet of Things Business intelligence and analytics Skyline query Cloud computing Data mining Multicriteria decision
Ref. laboratory citation :
misc-lab-399
DOI :
10.18280/isi.270112
Link :
Texte intégral
ACM :
O. E. Maamra, M.-K. Kholladi, O. Kazar and S. Harous. 2022. Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services.. Ingénierie des Systèmes d'Information, 27, 1 (February 2022), 101-109. DOI: https://doi.org/10.18280/isi.270112.
APA :
Maamra, O. E., Kholladi, M.-K., Kazar, O. & Harous, S. (2022, February). Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services.. Ingénierie des Systèmes d'Information, 27(1), 101-109. DOI: https://doi.org/10.18280/isi.270112
IEEE :
O. E. Maamra, M.-K. Kholladi, O. Kazar and S. Harous, "Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services.". Ingénierie des Systèmes d'Information, vol. 27, no. 1, pp. 101-109, February, 2022. DOI: https://doi.org/10.18280/isi.270112.
BibTeX :
@article{misc-lab-399,
author = {Maamra, Oum Elhana and Kholladi, Mohamed-Khireddine and Kazar, Okba and Harous, Saad},
title = {Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services.},
journal = {Ing\'{e}nierie des Syst\`{e}mes d'Information},
volume = {27},
number = {1},
issn = {1633-1311},
pages = {101--109},
year = {2022},
month = {February},
doi = {10.18280/isi.270112},
url = {https://www.iieta.org/journals/isi/paper/10.18280/isi.270112},
keywords = {Internet of Things, business intelligence and analytics, skyline query, cloud computing, data mining, multicriteria decision}
}
RIS :
TI  - Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services.
AU - O. E. Maamra
AU - M.-K. Kholladi
AU - O. Kazar
AU - S. Harous
PY - 2022
SN - 1633-1311
JO - Ingénierie des Systèmes d'Information
VL - 27
IS - 1
SP - 101
EP - 109
AB - The Internet of Things (IoT) and the recent advancements in cloud computing have gained importance with the surge in the amount of data generated globally. Moreover, the rapidly increasing applications of the Internet in many scientific and real-time practical applications have ushered in a new era of complex applications of data flow. Tourism and related services are routinely accessed by millions of customers worldwide. Furthermore, with newer, attractive, rapidly growing services, it has become essential for dealers to promote their services using up-to-date technological tools. The major challenge is to efficiently determine and select the best travel options conforming to the needs and financial requirements of the customers. In this study, the use of a dynamic skyline operator for multicriteria decisions is examined using a time-dependent database to select the best services. Moreover, the impact of implementing the operator on optimizing resource consumption is explored. Results indicate that the implementation of this operator is more efficient than the existing techniques.
KW - Internet of Things
KW - business intelligence and analytics
KW - skyline query
KW - cloud computing
KW - data mining
KW - multicriteria decision
DO - 10.18280/isi.270112
UR - https://www.iieta.org/journals/isi/paper/10.18280/isi.270112
ID - misc-lab-399
ER -