Results 31 to 40 of about 2,821 (160)
A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop
High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, which is inefficient for big ...
Zaihe Cheng +3 more
doaj +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Hadoop Cluster Deployment: A Methodological Approach
For a long time, data has been treated as a general problem because it just represents fractions of an event without any relevant purpose. However, the last decade has been just about information and how to get it.
Ronaldo Celso Messias Correia +5 more
doaj +1 more source
AI‐driven perception management and political soft power: Insights from expert interviews
Abstract This study explores the role of artificial intelligence (AI) in perception management as an emerging tool of political soft power. Drawing on the theoretical frameworks of social psychology, strategic communication, and political communication, the research investigates how AI‐assisted strategies influence public perception, image, and trust ...
Özkul Haraç, Ayhan Dolunay
wiley +1 more source
Design of mobile disposal platform for emergency and joint defense based on Hadoop
In response to urban security issues, in order to achieve credible warning, identify potential emergencies and deal with them in a timely manner, this paper builds an identity recognition emergency joint defense mobile processing platform based on Hadoop,
Zhang Lizhi, Li Xuewen
doaj +1 more source
A Multi‐Layered Analysis of Energy Consumption in Spark
ABSTRACT Although energy has become a major concern in data processing systems, it is usually hard to get a deep understanding of how performance and energy consumption relate to each other when planning how to configure a computing environment to execute a specific data‐oriented workload.
Nestor D. O. Volpini +2 more
wiley +1 more source
Advancing Organic Chemistry Using High‐Throughput Experimentation
This review outlines major advances in the design, execution, analysis, and data management phases of high‐throughput experimentation (HTE). The limitations and potential opportunities of applying modern HTE to organic synthesis are highlighted. Abstract High‐throughput experimentation (HTE), the miniaturization and parallelization of reactions, is a ...
Reem Nsouli +2 more
wiley +2 more sources
Hadoop Configuration Tuning With Ensemble Modeling and Metaheuristic Optimization
MapReduce is a popular programming model for big data processing. Although the distributed processing framework Hadoop greatly reduced the development complexity of MapReduce applications, fine tuning of the Hadoop systems for optimal performance remains
Xingcheng Hua +2 more
doaj +1 more source
Big Data Architectures and Concepts
Nowadays, the processing of big data has become a major preoccupation for businesses, not only for storage and processing but also for operational requirements such as speed, maintaining performance with scalability, reliability, availability, security ...
Audrey Tembo Welo +3 more
doaj +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source

