Results 51 to 60 of about 14,382 (202)

Primjena MapReduce algoritma na analizu nizova tekstualnih podataka [PDF]

, 2014
U ovom radu je opisan način rada i primjena Apache Hadoop-a i njegovih komponenti. Najvažnija komponenta je MapReduce koja ima sve veću primjenu. Da bismo mogli koristiti MapReduce algoritam potrebno je razumjeti njegov način rada, te naučiti neka ...
Volarić, Karolina
core   +2 more sources

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, Beatriz Remeseiro, Verónica Bolón‐Canedo   +2 more
wiley   +1 more source

Hadoop Cluster Deployment: A Methodological Approach

Information, 2018
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, Gabriel Spadon, Pedro Henrique De Andrade Gomes, Danilo Medeiros Eler, Rogério Eduardo Garcia, Celso Olivete Junior   +5 more
doaj   +1 more source

Refactoring Object‐Oriented Software With ChatGPT: An Empirical Study

IET Software, Volume 2026, Issue 1, 2026.
Generative AI (GenAI) is currently being utilized in many tasks to improve their quality. Because GenAI tools are highly qualified in text‐based applications, they have the potential to automate tasks across the software engineering lifecycle. In this study, we empirically investigate ChatGPT’s ability to perform code refactoring tasks.
Hanady M. Abdulsalam, Ranya Alawadhi, Bader A. Ali, Aisha A. Alkandari, Jehad Al Dallal, Tomasz Górski   +5 more
wiley   +1 more source

A review on big data based parallel and distributed approaches of pattern mining

Journal of King Saud University: Computer and Information Sciences, 2022
Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
doaj   +1 more source

Real-Time Data Processing With Lambda Architecture [PDF]

, 2019
Data has evolved immensely in recent years, in type, volume and velocity. There are several frameworks to handle the big data applications. The project focuses on the Lambda Architecture proposed by Marz and its application to obtain real-time data ...
Malusare, Omkar Ashok
core   +1 more source

Evaluation of Machine Learning Techniques for Denial‐of‐Service Attack Detection in Digital Information Exchange

Journal of Computer Networks and Communications, Volume 2026, Issue 1, 2026.
Anomaly detection plays a critical role in mitigating cybersecurity threats, particularly Distributed Denial of Service (DDoS) attacks. This study evaluates the performance of tree‐based and ensemble learning models, including Decision Tree, Random Forest, and XGBoost, for classifying Snort log data, alongside the application of Isolation Forest for ...
Piyapol Suwimol, Krishna Chimmanee, Auttapon Pomsathit, Sohini Basu Roy   +3 more
wiley   +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, Hong Li, Yu Zhao, Kaoshan Dai, Sai Liu, Chun'an Tang   +5 more
wiley   +1 more source

Multi‐Omics‐Augmented GWAS for Crop Improvement: From Mechanisms to Breeding

Modern Agriculture, Volume 3, Issue 2, December 2025.
This review presents an integrated framework that synergises multi‐omics with GWAS and machine learning to decode the genetic basis of complex agronomic traits, bridging biological discovery to precision breeding for climate‐resilient crops. ABSTRACT Global food security demands innovative strategies to enhance crop resilience and productivity amidst ...
Naimatullah Mangi, Qianli Zhao, Mengfan Li, Chunyang Li, Lulu Yan, Luyao Kong, Aizhi Qin, Yaping Zhou, Hao Liu, Yinpeng Zhang, Mengyu Liao, Jiani Long, Mengeng Zhou, Xiaoli Fan, Baozhen Wang, Wenxuan Kang, Zhixin Liu, Xuwu Sun   +17 more
wiley   +1 more source

Evading Cyber-Attacks on Hadoop Ecosystem: A Novel Machine Learning-Based Security-Centric Approach towards Big Data Cloud

Information
The growing industry and its complex and large information sets require Big Data (BD) technology and its open-source frameworks (Apache Hadoop) to (1) collect, (2) analyze, and (3) process the information.
Neeraj A. Sharma, Kunal Kumar, Tanzim Khorshed, A B M Shawkat Ali, Haris M. Khalid, S. M. Muyeen, Linju Jose   +6 more
doaj   +1 more source