Výsledky vyhledávání - "MapReduce"

An Adaptive Salp-Stochastic-Gradient-Descent-Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall

Autoři: Manoj, S. O. Kumar, Abhishek Dubey, A. K. a další

Zdroj: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universidad Internacional de La Rioja (UNIR)

Témata: 2. Zero hunger, Mean Square Error (MSE), ConLSTM, S-SGD, IJIMAI, MapReduce, 15. Life on land, 6. Clean water, Mean Square Difference (PRD)

Přístupová URL adresa: https://reunir.unir.net/handle/123456789/16004

HealthCraft: A Precision Model for Smart Resource Optimisation in Dynamic Big Data Healthcare Environments

Autoři: Ümit Demirbaga

Zdroj: Volume: 14, Issue: 252-63
Turkish Journal of Nature and Science
Türk Doğa ve Fen Dergisi

Témata: Big data, Information Systems (Other), Machine learning, Decision Support and Group Support Systems, Karar Desteği ve Grup Destek Sistemleri, Cloud computing, Information Systems User Experience Design and Development, Bilgi Sistemleri (Diğer), big data, MapReduce, Resource utilisation, Prediction, Bilgi Sistemleri Kullanıcı Deneyimi Tasarımı ve Geliştirme

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/11772/18611
https://dergipark.org.tr/tr/pub/tdfd/issue/92961/1545596

Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms

Autoři: Xu Huang Rong Gu Yihua Huang

Zdroj: Big Data Mining and Analytics, Vol 8, Iss 3, Pp 575-591 (2025)

Témata: big data, mapreduce shuffle, Electronic computers. Computer science, QA75.5-76.95, cloud-native serverless

Přístupová URL adresa: https://doaj.org/article/57e17daef22f4c619a36190d0d6d78c6

Where Be Witches?: The Role of Adventure Maps in Building a Game World

Autoři: Ekman, Stefan, Filosofie doktor, 1972

Zdroj: Navigating Imaginary Worlds: Wayfinding and Subcreation. :132-150

Témata: MapReduce, Game masters, In-buildings, Role-playing game, Buildings, Comparative Literature, Litteraturvetenskap

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-106597

Secure and interpretable lung cancer prediction model using mapreduce private blockchain federated learning and XAI

Autoři: Khan Muhammad Adnan Taher M. Ghazal Muhammad Saleem a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Témata: MapReduce, Private blockchain, Federated learning, XAI, Lung cancer prediction, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/a00f8968786a418591ac0486a042f094

Scalable flight cancellation prediction with ensemble distributed KNN and feature selection

Autoři: Ho Yin Kan Keith Chau Patrick Cheong-iao Pang

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Témata: Ensemble learning, Big data, Flight cancellation prediction, MapReduce, Distributed k nearest neighbors (DKNN), Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/2cbd795d594b499a87394ed12952ef5d

Metodología de predicción de rendimiento de aplicaciones MapReduce iterativas sobre una nube híbrida

Autoři: Clemente Castelló, Fancisco José

Přispěvatelé: University/Department: Universitat Jaume I. Departament d'Enginyeria i Ciència dels Computadors

Thesis Advisors: Fernández Fernández, Juan Carlos, Nicolae, Bogdan

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Cloud bursting, Aplicaciones iterativas, MapReduce, Análisis de Big Data, Predicción de rendimiento, Localidad de datos, Big Data analitycs, Iterative applications, Tecnologies de la Informació i les Comunicacions (TIC)

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/404307

AI-Powered Federated Task Scheduling and Self-Healing Framework in Dynamic Cloud Systems

Autoři: Demirbaga, Umit Rana, Omer Anjum, Ashiq a další

Zdroj: 2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing (UCC). :300-305

Témata: Mapreduce, Big Data Analysis, Artificial Intelligence, Federated Learning, Federated Cloud Computing

Přístupová URL adresa: https://hdl.handle.net/11772/20065

Enhancing performance of E-Government information systems with SSD-based Hadoop mapreduce

Autoři: Fredrick Ishengoma

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Témata: E-Government, Hadoop, MapReduce, SSD, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/b0142458012646f0a106739e2c77c047

Improving Memory Hierarchy Performance on MapReduce Frameworks for Multi-Core Architectures

Autoři: de Souza Ferreira, Tharso

Přispěvatelé: University/Department: Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius

Thesis Advisors: Moure López, Juan Carlos, Espinosa, Antonio

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Mapreduce, Multi-Core, Main memory, Tecnologies

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/129468

Scalable and fault-tolerant algorithms for big data processing in distributed cloud architectures

Autoři: Mohan Raja Pulicharla

Zdroj: World Journal of Advanced Research and Reviews. 24:3329-3338

Témata: Big Data, Spark, Stream Processing, Cloud-Based Machine Learning, Parallel Processing, Fault Tolerance, Energy-Efficient Algorithms, Real-Time Processing, Data Storage Optimization, Cloud Computing, High-Performance Computing (HPC), Distributed Algorithms, Cluster Computing, Resource Allocation, Load Balancing, Task Scheduling, Data Sharding, Data Partitioning, Hadoop, Scalable Data Processing, MapReduce, Elastic Computing, Cost-Efficient Cloud Solutions, Data Analytics in the Cloud, Data Migration

Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE

Autoři: Firmania Dwi Utami Femi Dwi Astuti

Zdroj: Journal of Applied Informatics and Computing, Vol 8, Iss 2, Pp 390-399 (2024)

Témata: mapreduce, big data, Electronic computers. Computer science, apache spark, QA75.5-76.95, hadoop

Přístupová URL adresa: https://doaj.org/article/9bff64cb2e754ad99a90950ccc4f409d

Parallel Processing Scheme for Sequencing Data in Copy Number Variation Based on MapReduce

Autoři: HE Heng, CHENG Kaili, ZHANG Kui, CHENG Shujun

Zdroj: Jisuanji gongcheng, Vol 51, Iss 5, Pp 177-187 (2025)

Témata: copy number variation (cnv) detection, mapreduce job, sequencing data processing, read depth (rd), whole-genome, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250518.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/32de9d2107db4816b406d9bdeaf9eeaf

Research on association analysis between electricity consumption behaviors and weather factors based on mapreduce

Autoři: Yuehua Yang Yun Wu

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Témata: Electricity consumption behaviors, Weather factors, Association rules, Parallel mining, MapReduce, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/59ebb29465b34b638fb9cb0a4275be90

MapReduce scheduling algorithms in Hadoop: a systematic study

Autoři: Hedayati, Soudabeh Maleki, Neda Olsson, Tobias a další

Zdroj: Journal of Cloud Computing. 12

Témata: Distributed systems, Resource allocation, Scheduling algorithms, Hadoop, MapReduce, Fair scheduling, Data- och informationsvetenskap, Computer and Information Sciences Computer Science

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-124925
https://doi.org/10.1186/s13677-023-00520-9

Reinforcement Learning Hadoop Map Reduce Parameters Optimization

Autoři: Nandita Yambem

Zdroj: International Journal of Intelligent Systems and Applications in Engineering; Vol. 13 No. 1 (2025); 63 – 69

Témata: Hadoop, reinforcement learning, q-learning, mapreduce, HDFS

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ijisae.org/index.php/IJISAE/article/view/7448

Peut-on exprimer un produit de matrices distribué haute performance avec un modèle Map-Reduce ?

Autoři: Dodelin, Hugo

Přispěvatelé: Dodelin, Hugo

Témata: Produit de matrices, GEMM, HPC, MapReduce, Mémoire distribuée, [INFO] Computer Science [cs]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05063477v1

Aggregation-based partitioning algorithm for traffic congestion in MapReduce

Autoři: Aisha Shabbir Muhammad Hamid Ahmed A. Abd El-Latif a další

Zdroj: Journal of Big Data, Vol 12, Iss 1, Pp 1-22 (2025)

Témata: Aggregation-based partitioning, Big data, MapReduce, Job completion time, Shuffle phase optimization, Network traffic cost, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2196-1115

Přístupová URL adresa: https://doaj.org/article/0879604889934e5a8acf7afaf561de75

LSH SimilarityJoin Pattern in FastFlow

Autoři: Tonci N. Rivault S. Bamha M. a další

Zdroj: International Journal of Parallel Programming

Témata: Big data MapReduce, Distributed programming, High-level parallel programming, LSH Similarity join, Parallel patterns, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://hdl.handle.net/11568/1282175
https://doi.org/10.1007/s10766-024-00772-1

HOT TOPICS DETECTION AND PERFORMANCE OPTIMIZATION FROM MICROBLOGS USING HYBRID HADOOP FRAMEWORK

Autoři: Journal of Theoretical and Applied Information Technology

Témata: Hadoop Framework, Social Media, Mapreduce, Big Data Analytics, Apache Spark, Cloud, Workload, Response Time, Network Bandwidth, Hot Topic Detection