Results 31 to 40 of about 9,135 (230)
Collaborative Mappers based on Co-evolutionary Optimization Technique in MapReduce
International 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
, 2019 MapReduce is one of the most popular programming paradigms that allows a user to process Big data sets. Our goal is to add privacy guarantees to the two standard algorithms of join computation for MapReduce: the cascade algorithm and the hypercube algorithm.
Bultel, Xavier +4 more
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Procedia Computer Science, 2015 AbstractDespite technological advances making computing devices faster, smaller, and more prevalent in today's age, data generation and collection has outpaced data processing capabilities. Simply having more compute platforms does not provide a means of addressing challenging problems in the big data era.
James B. Aimone +6 more
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Computing marginals using MapReduce [PDF]
Journal of Computer and System Sciences, 2018 We consider the problem of computing the data-cube marginals of a fixed order $k$ (i.e., all marginals that aggregate over $k$ dimensions), using a single round of MapReduce. The focus is on the relationship between the reducer size (number of inputs allowed at a single reducer) and the replication rate (number of reducers to which an input is sent ...
Foto N. Afrati +3 more
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Evaluating MapReduce for seismic data processing using a practical application
Tongxin xuebao, 2012 Huge amounts of seismic data undergo complex iterative processing in the oil industry to get knowledge of the earth’s subsurface structure to detect where oil can be found and recovered.To evaluate the suitability of MapReduce for seismic processing ...
Chang-hai ZHAO +4 more
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Processing of raw astronomical data of large volume by MapReduce model
Труды Института системного программирования РАН, 2018 Exponential grow of volume, increased quality of data in current and incoming sky surveys open new horizons for astrophysics but require new approaches to data processing especially big data technologies and cloud computing.
S. . Gerasimov +4 more
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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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Procedia Computer Science, 2013 AbstractRecent innovations in Big Data have enabled major strides forward in our ability to glean important insights from massive amounts of data, and to use these insights to make better decisions. Underlying many of these innovations is a computational paradigm known as MapReduce, which enables computational processes to be scaled up to very large ...
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Snooping Wikipedia vandals with MapReduce [PDF]
2015 IEEE International Conference on Communications (ICC), 2015 In this paper, we present and validate an algorithm able to accurately identify anomalous behaviors on online and collaborative social networks, based on their interaction with other fellows. We focus on Wikipedia, where accurate ground truth for the classification of vandals can be reliably gathered by manual inspection of the page edit history.
Spina, Michele +4 more
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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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