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Review ArticleOpen accessEvery word in the titleBig Data Characteristics, Architecture, Technologies and ApplicationsWisam A. Qader, Musa M. Ameen, Bilal Ismael AhmedBig Data is a vast volume of data that is not easy to be stored or processed with conventional approaches within a limited period. Therefore, to manage and extract value from it, a new architecture, method and analysis are needed. Big Data poses many challenges and problems and it has different properties such as volume, velocity, variety and veracity. The … …Journal of Computer Science, Vol. 16, Issue 6 · 22 Jun 2020 · 8,088 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUtilizing of Big Data and Predictive Analytics Capability in Crisis ManagementMohammad Atwah AL-Ma’aitahThis study investigates the impact of Big Data and Predictive Analytics (BDPA) capability on crisis management in the Greater Amman Municipality (GAM), Jordan. Effective utilization of BDPA is considered in the study to depend upon the five dimensions: Tangible resources, technical skills, management skills, organizational learning and data driven culture. Crisis management is classified into the three stages of crisis … …Journal of Computer Science, Vol. 16, Issue 3 · 9 Mar 2020 · 7,862 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePatient Data Integration: A Panacea for Effective HealthcareHenry Anayo Okemiri, Alo Uzoma Rita, Achi Ifeany Isaiah et al.A huge challenge in the healthcare domain has remained the spread and proliferation of fragmented information systems and multiplicity of data that accumulate from growing quantities of heterogeneous data of patient. This challenge must be addressed as the whole domain gradually transforms into models of delivery of healthcare that is electronic and patient-centered. The presence of inadequate data integration at … …Journal of Computer Science, Vol. 16, Issue 2 · 22 Feb 2020 · 7,727 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Warehouse Design to Support Social Media Analysis in a Big Data EnvironmentCarlos Roberto Valêncio, Luis Marcello Moraes Silva, William Tenório et al.The volume of generated and stored data from social media has increased in the last decade. Therefore, analyzing and understanding this kind of data can offer relevant information in different contexts and can assist researchers and companies in the decision-making process. However, the data are scattered in a large volume, come from different sources, with different formats and are rapidly … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,223 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVolatility-Aware Hybrid Memory Architecture for Real-Time and Persistent Big Data SystemsMohammed Elhabib Maicha, Mohammed Redha BouzidiAs data volumes and real-time analytics demands grow, DRAM only memory systems struggle to scale cost-efficiently and sustainably. We present VA-HMA, a volatility-aware hybrid memory architecture that combines DRAM and Non-Volatile Memory (NVM) with a lightweight, machine-learned placement layer and endurance-aware fault tolerance. VA-HMA continuously monitors access patterns and applies a Random Forest–based predictor to guide batched page migrations and … …Journal of Computer Science, Vol. 22, Issue 6 · 27 Jun 2026 · 1,214 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A SurveyHaya Salah, Islam Al-Omari, Jaber Alwidian et al.Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 8,722 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBig Data Interoperability for E-GovernanceEl Benany Med Mahmoud, El Beqqali Omar, Aris M. OukselThe notion of governance is innate to any society in the word. The use of big-data allow governance as a competitive advantage to attract resources, with the emergence of the social web and exponential data generated accordingly. Such social web and exponential data can be analyzed to give the enlightened human beings about the good governance and maintain an intelligent … …Journal of Computer Science, Vol. 15, Issue 10 · 7 Oct 2019 · 8,099 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFunctional Non-Inferiority Hypothesis Testing for Longitudinal DataArsène Brunelle Sandie, Anthony Wanjoya, Jules Brice Tchatchueng-MbouguaThe study pattern of non-inferiority trials is increasingly used to show the non-inferiority of new health intervention. Although in such studies the data are longitudinally collected (data held over a period of time), the conclusion of these non-inferiority trials is based on data observed at a specific time during the study period (usually at the end of the study period). … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 29 Aug 2019 · 6,933 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleMeta-Analysis of Data Collect MethodsIman Tikito, Mohammed El Arass, Nissrine SouissiSeveral organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data generated by different sources, such as IoT, sensors and databases. At the core of data lifecycle, data reliability, analytics, security, scalability and use are important concerns. Coping with these issues in handling data requires understanding the challenges associated with it. Analysis process and storage devices … …Journal of Computer Science, Vol. 15, Issue 8 · 24 Aug 2019 · 7,335 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Exploration in the Supermarket System to Study the Behavior of the Jordanian ConsumersKhaled Aldiabat, Mahmoud Ali Al-Rousan, Ali A. AlzoubiThe study aimed to identify the extent of using data exploration in the supermarket system to study the behavior of the Jordanian consumers and the extent of using data exploration in commercial shops in Jordan. The study concluded that data exploration in the supermarket system is not used to study the behavior of the Jordanian consumers regarding the disclosure of … …Journal of Computer Science, Vol. 15, Issue 5 · 24 May 2019 · 7,435 accessesView PDFCite