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Moti Zwilling. (2023) Big Data Challenges in Social Sciences: An NLP Analysis. Journal of Computer Information Systems 63:3, pages 537-554.
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Paolo Trunfio & Vladimir Vlassov. (2019) Clouds for scalable Big Data processing. International Journal of Parallel, Emergent and Distributed Systems 34:6, pages 629-631.
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Articles from other publishers (33)
M. AnanthiAnnapoorani GopalK. RamalakshmiP. Mohan Kumar. (2023) Gaussian Adapted Markov Model with Overhauled Fluctuation Analysis-Based Big Data Streaming Model in Cloud. Big Data.
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Changxin Bai, Junwen Liu, Anik Tahabilder, M M Imran, Shiyong Lu & Dunren Che. (2023) A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution. A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution.
Kang-Ren Leow, Meng-Chew Leow & Lee-Yeng Ong. (2023) A New Big Data Processing Framework for the Online Roadshow. Big Data and Cognitive Computing 7:3, pages 123.
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Fabrizio Marozzo & Domenico Talia. (2023) Perspectives on Big Data, Cloud-Based Data Analysis and Machine Learning Systems. Big Data and Cognitive Computing 7:2, pages 104.
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Sandeep Dasari & Rajesh Kaluri. (2023) Big Data Analytics, Processing Models, Taxonomy of Tools, V’s, and Challenges: State-of-Art Review and Future Implications. Wireless Communications and Mobile Computing 2023, pages 1-14.
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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia & Paolo Trunfio. (2022) Programming big data analysis: principles and solutions. Journal of Big Data 9:1.
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Wei Zhuo, Zhichao He, Mengying Zheng, Beichen Hu & Ruijuan Wang. (2021) Research on personalized image retrieval technology of video stream big data management model. Multimedia Tools and Applications 81:29, pages 41527-41544.
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Fabrizio Marozzo & Loris Belcastro. (2022) Cloud Computing for Big Data Analysis. Applied Sciences 12:20, pages 10567.
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Fabrizio Marozzo, Alessio Orsino, Domenico Talia & Paolo Trunfio. (2022) Edge Computing Solutions for Distributed Machine Learning. Edge Computing Solutions for Distributed Machine Learning.
Francesco Branda & Davide Tosi. (2022) Comparing Worldwide, National, and Independent Notifications about Adverse Drug Reactions Due to COVID-19 Vaccines. Information 13:7, pages 329.
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Ling Sun & Dali Gao. (2022) Security Attitude Prediction Model of Secret-Related Computer Information System Based on Distributed Parallel Computing Programming. Mathematical Problems in Engineering 2022, pages 1-13.
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Vibhatha Abeykoon, Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski & Geoffrey Fox. (2022) HPTMT Parallel Operators for High Performance Data Science and Data Engineering. Frontiers in Big Data 4.
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Riccardo Cantini, Fabrizio Marozzo, Domenico Talia & Paolo Trunfio. (2022) Analyzing Political Polarization on Social Media by Deleting Bot Spamming. Big Data and Cognitive Computing 6:1, pages 3.
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Bhavna Sharma & Kirti Vasuja. 2022. Causes and Symptoms of Socio-Cultural Polarization. Causes and Symptoms of Socio-Cultural Polarization
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Loris Belcastro & Fabrizio Marozzo. 2020. Encyclopedia of Big Data Technologies. Encyclopedia of Big Data Technologies
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Fabrizio Marozzo & Loris Belcastro. 2020. Encyclopedia of Big Data Technologies. Encyclopedia of Big Data Technologies
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Fabrizio Marozzo & Loris Belcastro. 2022. Microarray Data Analysis. Microarray Data Analysis
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Alessandro Barbieri, Fabrizio Marozzo & Claudio Savaglio. (2021) IoT platforms and services configuration through parameter sweep: a simulation-based approach. IoT platforms and services configuration through parameter sweep: a simulation-based approach.
Laura Wratten, Andreas Wilm & Jonathan Göke. (2021) Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers. Nature Methods 18:10, pages 1161-1168.
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Loris Belcastro, Alberto Falcone, Alfredo Garro & Fabrizio Marozzo. (2021) Evaluation of Large Scale RoI Mining Applications in Edge Computing Environments. Evaluation of Large Scale RoI Mining Applications in Edge Computing Environments.
Jerzy Proficz & Krzysztof M. Ocetkiewicz. (2020) Improving Clairvoyant: reduction algorithm resilient to imbalanced process arrival patterns. The Journal of Supercomputing 77:6, pages 6145-6177.
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Salvatore Giampa, Loris Belcastro, Fabrizio Marozzo, Domenico Talia & Paolo Trunfio. (2021) A Data-Aware Scheduling Strategy for Executing Large-Scale Distributed Workflows. IEEE Access 9, pages 47354-47364.
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Loris Belcastro, Fabrizio Marozzo, Domenico Talia & Paolo Trunfio. 2021. Cloud Computing and Services Science. Cloud Computing and Services Science
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Francesco Branda, Fabrizio Marozzo & Domenico Talia. (2020) Ticket Sales Prediction and Dynamic Pricing Strategies in Public Transport. Big Data and Cognitive Computing 4:4, pages 36.
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Sachini Jayasekara, Aaron Harwood & Shanika Karunasekera. (2020) A utilization model for optimization of checkpoint intervals in distributed stream processing systems. Future Generation Computer Systems 110, pages 68-79.
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Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio MarozzoGabriel Iuhasz, Marek Justyna & Javier Garcia-Blas. (2020) M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications.
Hameeza Ahmed & Muhammad Ali Ismail. (2020) Towards a Novel Framework for Automatic Big Data Detection. IEEE Access 8, pages 186304-186322.
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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Domenico Talia & Paolo Trunfio. (2020) Learning Political Polarization on Social Media Using Neural Networks. IEEE Access 8, pages 47177-47187.
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Leonardo Candela, Gianpaolo Coro, Lucio Lelii, Giancarlo Panichi & Pasquale Pagano. 2020. Towards Interoperable Research Infrastructures for Environmental and Earth Sciences. Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
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Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Javier Garcia-Blas, David del Rio, Philippe Couvée, Gael Goret, Lionel Vincent, Alberto Fernández-Pena, Daniel Martín de Blas, Mirko Nardi, Teresa Pizzuti, Adrian Spătaru & Marek Justyna. 2020. Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019: Parallel Processing Workshops
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Bojan Lalic, Ugljesa Marjanovic, Slavko Rakic, Marko Pavlovic, Tanja Todorovic & Nenad Medic. 2020. Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing. Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing
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C.S.R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghosh & L.M. Jenila LivingstonC.S.R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghosh & L.M. Jenila Livingston. 2019. Big Data Analytics: Systems, Algorithms, Applications. Big Data Analytics: Systems, Algorithms, Applications
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Hiba Sebei, Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha. (2018) Review of social media analytics process and Big Data pipeline. Social Network Analysis and Mining 8:1.
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