Results 31 to 40 of about 10,108 (225)
Big Data Analytics in Online Structural Health Monitoring
International 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
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High Frequency Rule Synthesis in a Large Scale Multiple Database with MapReduce [PDF]
International Journal of Electronics and Telecommunications, 2022 Increasing development in information and communication technology leads to the generation of large amount of data from various sources. These collected data from multiple sources grows exponentially and may not be structurally uniform. In general, these
Sudhanshu Shekhar Bisoyi +2 more
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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
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The research of social processes at the university using big data [PDF]
MATEC Web of Conferences, 2021 The volume of information in the 21st century is growing at a rapid pace. Big data technologies are used to process modern information. This article discusses the use of big data technologies to implement monitoring of social processes.
Hacimahmud Abdullayev Vugar +2 more
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Full Support for Efficiently Mining Multi-Perspective Declarative Constraints from Process Logs
Information, 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
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Efficient Computation of the Well-Founded Semantics over Big Data [PDF]
, 2014 Data originating from theWeb, sensor readings and social media result in increasingly huge datasets. The so called Big Data comes with new scientific and technological challenges while creating new opportunities, hence the increasing interest in academia
Faber, Wolfgang +2 more
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Big data cleaning modeling of operation status of coal mine fully—mechanized coal mining equipment
Gong-kuang zidonghua, 2018 In view of problems of large amount of data and noise and missing values existed in data of operation status of coal mine fully—mechanized coal mining equipment, a big data cleaning model of operation status of coal mine fully—mechanized coal mining ...
MA Hongwei +4 more
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PUC: parallel mining of high-utility itemsets with load balancing on spark
Journal of Intelligent Systems, 2022 Distributed programming paradigms such as MapReduce and Spark have alleviated sequential bottleneck while mining of massive transaction databases. Of significant importance is mining High Utility Itemset (HUI) that incorporates the revenue of the items ...
Brahmavar Anup Bhat +2 more
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Verifica Sperimentale di un modello per MapReduce [PDF]
, 2022 Proposto nel 2005 a partire dall'esperienza implementativa di Google, MapReduce rappresenta a tutt'oggi uno dei più utilizzati paradigmi per il calcolo parallelo.
Rodeghiero, Paolo
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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
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