Decision support based on optimized data mining techniques: Application to mobile telecommunication companies

Berkani, Lamia

doi:10.1002/cpe.5833

Cited by 2 publications

(1 citation statement)

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“…The seventh paper, entitled “Decision Support based on Optimized Data Mining Techniques: Application to Mobile Telecommunication Companies” by Berkani 7 introduces a new framework to generate association rules to improve the decision‐making process. This framework is based on the combination of the data mining techniques and evolutionary optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

Towards understanding and harnessing the potential of Africa in digitalization

Benkrid

Badir

Lô

et al. 2020

Concurrency and Computation

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Towards understanding and harnessing the potential of Africa in digitalization 1 BACKGROUND Nowadays, the digital transformation is an intensive subject that refers to all the changes related to a process with the integration of advanced digital technologies such as cloud computing, Internet of Things, three-dimensional printing, artificial intelligence, and transportation in all aspects of human society. Digitalization affects any firm, any sector, any type of job, any function in organizations/institutions. Then it has become ubiquitous in multiple domains such as oil and gas, disease management, finance, banking, transportation, education, healthcare, agriculture, energy, environment, gastronomy, government services, and so forth. Africa is the world's second-largest and second-most-populous continent. Despite a wide range of natural resources, the continent suffers from many problems such as poverty, diseases, illiteracy, weak infrastructure, political instability, and conflicts. The continent features a relatively young population, as well as a diaspora of expatriate African researchers all willing to contribute to its development. Digital communication has spread very fast with improved access to the Internet. All these must enable an African shift to a successful digitalization transformation story with the promotion of technological advancements. The promotion of high education and research in Africa is one of the important keys for achieving digital transformation. This special issue has been launched by five researchers: four from African countries: Algeria, Morocco, Senegal, and Tunisia, and one from the African diaspora, working in France. This issue is dedicated to African young researchers contributing to digitalization efforts. An open call for papers has been organized, where it attracted 25 papers covering topics related to digitalization transformation, more particularly big data analytics, data integration, data mining, social media data exploitation, decision support systems, cloud computing, smart applications, Internet of Things, data security and risk, web services, quality of data transmission, recommendation, and combinatorial optimization methods. All submissions were peer-reviewed by at least two reviewers from our international program committee consisting of academia and industrials from 12 different countries and working on the various topics of our special issues. After two rounds of reviews, we finally accepted 11 papers, making an acceptance rate of 44%. One of the interesting characteristics of our accepted papers is that some of them integrate real case studies involving important domains in Africa such as Algerian mobile telecommunication and transportation services in the Maghreb countries. We

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Section: Introductionmentioning

confidence: 99%

Towards understanding and harnessing the potential of Africa in digitalization

Benkrid

Badir

Lô

et al. 2020

Concurrency and Computation

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Efficient big data security analysis on HDFS based on combination of clustering and data perturbation algorithm using health care database

Marichamy

Natarajan

2022

IFS

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In this manuscript proposes an efficient big data security analysis on HDFS based on the combination of Improved Deep K-means Clustering (IDFKM) algorithm and Modified 3D rotation data perturbation algorithm using health care database. To compile a similar group of data, an Improved Deep K-means Clustering (IDFKM) Algorithm is used as partitioning the medical data. After clustering, Modified 3D rotation data perturbation technique is used to satisfy the privacy requirement of the client. Modified 3D rotation Data Perturbation technique perturbs each and every sensitive data of the cluster and all the key parameters values used for clustering have warehoused in the database file sector. The proposed approach is executed by Java program, its efficiency is assessed by Health care database. The metrics under the study of memory usage attains higher accuracy 34.765%, 23.44%, 52.74%, 18.74%, lower execution time 35.23%, 23.76%, 27.86%, 27.76%, higher Efficiency 26.85%, 38.97%, 28.97%, 35.65%. then the proposed method is compared with the existing methods such asSecurity Analysis of SDN Applications for Big Data with spoofing identity, Tampering with data, Repudiation threats, Information disclosure, Denial of service and Elevation of privileges (STRIDE), Big Data Analysis-based Secure Cluster Management for using Ant Colony Optimization (ACA) Optimized Control Plane in Software-Defined Networks, System Architecture for Secure Authentication and Data Sharing in Cloud Enabled Big Data Environment using LemperlZivMarkow Algorithm (LZMA) and Density-based Clustering of Applications with Noise (DBSCAN), Big Data Based Security Analytics using data based security analytics (BDSA) approach for Protecting Virtualized Infrastructures in Cloud Computing respectively.

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Decision support based on optimized data mining techniques: Application to mobile telecommunication companies

Cited by 2 publications

References 42 publications

Towards understanding and harnessing the potential of Africa in digitalization

Towards understanding and harnessing the potential of Africa in digitalization

Efficient big data security analysis on HDFS based on combination of clustering and data perturbation algorithm using health care database

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