Results 41 to 50 of about 10,119 (225)
Meta-MapReduce: A Technique for Reducing Communication in MapReduce Computations
CoRR, 2015 MapReduce has proven to be one of the most useful paradigms in the revolution of distributed computing, where cloud services and cluster computing become the standard venue for computing. The federation of cloud and big data activities is the next challenge where MapReduce should be modified to avoid (big) data migration across remote (cloud) sites ...
Foto N. Afrati +3 more
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Business Strategy and the Environment, Volume 35, Issue 4, Page 5895-5925, May 2026.ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source
MapReduce network enabled algorithms for classification based on association rules [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.There is growing evidence that integrating classification and association rule mining can produce more efficient and accurate classifiers than traditional ...
Hammoud, Suhel
core
A Distributed Approach for High-Dimensionality Heterogeneous Data Reduction
IEEE Access, 2019 The recent explosion of data size in number of records and attributes has triggered the development of a number of Big Data analytics as well as parallel data processing methods and algorithms.
Rania Mkhinini Gahar +3 more
doaj +1 more source
Journal of Intelligent Systems, 2022 Recently, big data analytics have gained significant attention in healthcare industry due to generation of massive quantities of data in various forms such as electronic health records, sensors, medical imaging, and pharmaceutical details.
Bhukya Hanumanthu, Manchala Sadanandam
doaj +1 more source
Multithread Approximation: An OpenMP Constructor
Concurrency and Computation: Practice and Experience, Volume 38, Issue 4, February 2026.ABSTRACT This study introduces an OpenMP construct designed to simplify and unify the integration of approximate computing techniques into shared‐memory parallel programs. Approximate Computing leverages the inherent error tolerance of many applications to trade computational accuracy for gains in performance and energy efficiency.
João Briganti de Oliveira +2 more
wiley +1 more source
Dynamically Iterative MapReduce [PDF]
, 2014 MapReduce is a distributed and parallel computing model for data-intensive tasks with features of optimized scheduling, flexibility, high availability, and high manageability.
Wei, Hsin-Wen +1 more
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Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Applying MapReduce to Conformance Checking
Труды Института системного программирования РАН, 2018 Process mining is a relatively new research field, offering methods of business processes analysis and improvement, which are based on studying their execution history (event logs).
I. S. Shugurov, A. A. Mitsyuk
doaj +1 more source
Journal of Computing Science and Engineering, 2013 This invited paper introduces results on Web science and technology obtained during work with the Korea Advanced Institute of Science and Technology. In the first part, we discuss algorithms for exploring the deep Web, which refers to the collection of Web pages that cannot be reached by conventional Web crawlers. In the second part, we discuss sorting
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