Results 101 to 110 of about 10,108 (225)
MARLA: MapReduce for Heterogeneous Clusters [PDF]
, 2012 MapReduce has gradually become the framework of choice for ”big data”. The MapReduce model allows for efficient and swift processing of large scale data with a cluster of compute nodes. However, the efficiency here comes at a price.
Zacharia Fadika +3 more
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Fast Matrix Multiplication with Big Sparse Data
Cybernetics and Information Technologies, 2017 Big Data becameabuzz word nowadays due to the evolution of huge volumes of data beyond peta bytes. This article focuses on matrix multiplication with big sparse data.
Somasekhar G., Karthikeyan K.
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Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework
ISPRS International Journal of Geo-Information, 2019 The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model.
Junfeng Kang +3 more
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A parallel genetic algorithms framework based on Hadoop MapReduce
, 2015 This paper describes a framework for developing parallel Genetic Algorithms (GAs) on the Hadoop platform, following the paradigm of MapReduce. The framework allows developers to focus on the aspects of GA that are specific to the problem to be addressed.
Hadoop Mapreduce +8 more
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MOON: MapReduce On Opportunistic eNvironments
, 2009 —MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavailable at any given time. In contrast, when MapReduce is run on volunteer
Feng, Wu-chun +5 more
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Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools
Big Data Mining and Analytics, 2019 In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data.
Sunil Kumar, Maninder Singh
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FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification
Journal of Intelligent Systems, 2018 The term “big data” means a large amount of data, and big data management refers to the efficient handling, organization, or use of large volumes of structured and unstructured data belonging to an organization.
Banchhor Chitrakant, Srinivasu N.
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, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Diabetes has become one of the most severe deceases due to an increasing number of diabetes patients globally.
Qi, Hao
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Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri
MANAS: Journal of Engineering, 2015 Hadoop framework employs MapReduce programming paradigm to process big data by distributing data across a cluster and aggregating. MapReduce is one of the methods used to process big data hosted on large clusters.
G. Ozen, R. Sultanov
doaj
Zhejiang Daxue xuebao. Lixue ban, 2014 随着卫星定位技术和移动互联网技术的飞速发展，地理空间数据来源变得更加多源异构.面对海量地理空间数据，如何快速有效地找到目标周围的兴趣点变得异常重要.依据空间k近邻(kNN)查询算法，提高效率的关键在数据索引和数据块存储结构设计，通过引入云计算的MapReduce编程模型，设计了一种面向MapReduce的地理空间数据双层倒排网格索引，利用CircularTrip算法实现了目标点近邻查询计算，最终获得距离目标点最邻近的数据点集.实验结果表明，该索引方法较单层倒排网格索引下的kNN查询效率有明显提高 ...
ZHAOMinchao(赵敏超) +4 more
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