Results 11 to 20 of about 8,758 (210)

Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method

open access: yesIET Networks, Accepted Article., 2022
This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley   +1 more source

REST-MapReduce: An Integrated Interface but Differentiated Service

open access: yesJournal of Applied Mathematics, 2014
With the fast deployment of cloud computing, MapReduce architectures are becoming the major technologies for mobile cloud computing. The concept of MapReduce was first introduced as a novel programming model and implementation for a large set of ...
Jong-Hyuk Park   +3 more
doaj   +1 more source

Proving Equivalence Between Imperative and MapReduce Implementations Using Program Transformations [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2018
Distributed programs are often formulated in popular functional frameworks like MapReduce, Spark and Thrill, but writing efficient algorithms for such frameworks is usually a non-trivial task.
Bernhard Beckert   +5 more
doaj   +1 more source

On using MapReduce to scale algorithms for Big Data analytics: a case study

open access: yesJournal of Big Data, 2019
Introduction Many data analytics algorithms are originally designed for in-memory data. Parallel and distributed computing is a natural first remedy to scale these algorithms to “Big algorithms” for large-scale data.
Phongphun Kijsanayothin   +2 more
doaj   +1 more source

Cloudgene: A graphical execution platform for MapReduce programs on private and public clouds

open access: yesBMC Bioinformatics, 2012
Background The MapReduce framework enables a scalable processing and analyzing of large datasets by distributing the computational load on connected computer nodes, referred to as a cluster.
Schönherr Sebastian   +5 more
doaj   +1 more source

Parallel Delay Multiply and Sum Algorithm for Microwave Medical Imaging Using Spark Big Data Framework

open access: yesAlgorithms, 2021
Microwave imaging systems are currently being investigated for breast cancer, brain stroke and neurodegenerative disease detection due to their low cost, portable and wearable nature. At present, commonly used radar-based algorithms for microwave imaging
Rahmat Ullah, Tughrul Arslan
doaj   +1 more source

Big Data Analytics in Online Structural Health Monitoring

open access: yesInternational Journal of Prognostics and Health Management, 2016
This manuscript explores the application of big data analytics in online structural health monitoring. As smart sensor technology is making progress and low cost online monitoring is increasingly possible, large quantities of highly heterogeneous data ...
Guowei Cai, Sankaran Mahadevan
doaj   +1 more source

TOP-DOWN AND BOTTOM-UP APPROACH FOR MINING MULTILEVEL ASSOCIATION RULES FROM CONCEPT HIERARCHICAL DATA IN DISTRIBUTED ENVIRONMENT

open access: yesICTACT Journal on Soft Computing, 2022
Hierarchical Data mining using distributed environment is an imperative in big data analysis. Multilevel association rules can provide more substantial information than single level rules, and it also determines hierarchical knowledge from the dataset ...
Dinesh J. Prajapati
doaj   +1 more source

Collaborative Mappers based on Co-evolutionary Optimization Technique in MapReduce

open access: yesInternational Journal of Information and Communication Technology Research, 2022
MapReduce algorithm inspired by the map and reduces functions commonly used in functional programming. The use of this model is more beneficial when optimization of the distributed mappers in the MapReduce framework comes into the account.
Mohammad Reza Ahmadi, Davood Maleki
doaj  

Full Support for Efficiently Mining Multi-Perspective Declarative Constraints from Process Logs

open access: yesInformation, 2019
Declarative process management has emerged as an alternative solution for describing flexible workflows. In turn, the modelling opportunities with languages such as Declare are less intuitive and hard to implement.
Christian Sturm   +2 more
doaj   +1 more source

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