Results 41 to 50 of about 2,821 (160)
Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data
Big Data Mining and Analytics, 2023 We live in an age where everything around us is being created. Data generation rates are so scary, creating pressure to implement costly and straightforward data storage and recovery processes. MapReduce model functionality is used for creating a cluster
Ankit Kumar +3 more
doaj +1 more source
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
Expert Systems, Volume 43, Issue 2, February 2026.ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This paper develops a novel joint optimisation model using column generation (CG) for airport parking gate and taxi route assignment, especially during peak hours. It proposes a parallel fusion algorithm combining artificial bee colony and adaptive genetic algorithm to solve the model efficiently.
Fujun Wang +5 more
wiley +1 more source
Adaptive Node-Oriented Data Placement for Heterogeneous Hadoop Clusters
IEEE AccessModern society is experiencing a data explosion thanks to rapid IT development and the increasing intelligence of devices. The vast and complex data can be utilized to extract actionable insight using a big data processing framework.
Vishnu Prasad Verma +2 more
doaj +1 more source
Digital Transformation of Energy Systems: Technologies, Data, Governance and Cyber Security
IET Smart Grid, Volume 9, Issue 1, January/December 2026.A comprehensive review of the digital transformation of modern energy systems through the integration of technologies such as the Internet of Things (IoT), artificial intelligence (AI) and digital twin frameworks. This paper investigates how digitalisation in the energy sector contributes to achieving net‐zero emissions by enhancing operational ...
Zoya Pourmirza +4 more
wiley +1 more source
LINEAR REGRESSION WITH R AND HADOOP [PDF]
Challenges of the Knowledge Society, 2015 In this paper we present a way to solve the linear regression model with R and Hadoop using the Rhadoop library. We show how the linear regression model can be solved even for very large models that require special technologies.
Bogdan OANCEA
doaj
A Mini-Review of Machine Learning in Big Data Analytics: Applications, Challenges, and Prospects
Big Data Mining and Analytics, 2022 The availability of digital technology in the hands of every citizenry worldwide makes an available unprecedented massive amount of data. The capability to process these gigantic amounts of data in real-time with Big Data Analytics (BDA) tools and ...
Isaac Kofi Nti +3 more
doaj +1 more source
Spatiotemporal Big Data Retrieval Method Based on GeoHash Algorithm and Multimode Composite Index
Modelling and Simulation in Engineering, Volume 2026, Issue 1, 2026.With the increasing demand for multisource heterogeneous spatiotemporal data in applications such as smart cities and intelligent transportation, how to balance retrieval accuracy, multimodal adaptation, and high concurrency response has become a key issue.
Yanxin Wang, Federica Proietto
wiley +1 more source
Big data: modern approaches to storage and analysis
Труды Института системного программирования РАН, 2018 Big data challenged traditional storage and analysis systems in several new ways. In this paper we try to figure out how to overcome this challenges, why it's not possible to make it efficiently and describe three modern approaches to big data handling ...
Pavel Klemenkov, Sergey Kuznetsov
doaj +1 more source
Review of artificial intelligence applications in geothermal energy extraction from hot dry rock
Deep Underground Science and Engineering, Volume 4, Issue 4, Page 651-672, December 2025.This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji +5 more
wiley +1 more source