Results 11 to 20 of about 23,785,135 (371)
An intelligent approach of task offloading for dependent services in Mobile Edge Computing
Journal of Cloud Computing: Advances, Systems and Applications, 2023 With the growing popularity of Internet of Things (IoT), Mobile Edge Computing (MEC) has emerged for reducing the heavy workload at the multi-cloud core network by deploying computing and storage resources at the edge of network close to users.
Jie Chen, Yajing Leng, Jiwei Huang
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Journal of King Saud University: Computer and Information Sciences, 2020 Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar +2 more
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Scientific Reports, 2022 Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people’s frequent travel purposes.
Xinyi Liu +3 more
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Data-mining chess databases [PDF]
, 2010 This is a report on the data-mining of two chess databases, the objective being to compare their sub-7-man content with perfect play as documented in Nalimov endgame tables. Van der Heijden’s ENDGAME STUDY DATABASE IV is a definitive collection of 76,132
Bleicher, Eiko +2 more
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Re-mining item associations: methodology and a case study in apparel retailing [PDF]
, 2010 Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items.
Atan, Tankut +4 more
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Remote Sensing, 2022 Extraterrestrial solar radiation (ESR) is the essential basic background for solar radiation, which determines the occurrence of the weather and atmospheric phenomena.
Siwei Lin +4 more
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IEEE Access, 2019 Lithology recognition is an essential part of reservoir parameter prediction. Compared to conventional algorithms, deep learning that needs a large amount of training data as support can extract features automatically.
Guohe Li +4 more
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Web + Data Mining = Web Mining [PDF]
HMD Praxis der Wirtschaftsinformatik, 2009 Dieser Beitrag gibt eine kurze Beschreibung, was unter dem Begriff Web Mining zu verstehen ist und wie Webdaten mit gangigen Data-Mining-Techniken kombiniert werden konnen, um das Web besser als Informationsquelle nutzbar zu machen. Des Weiteren wird ein Uberblick uber die gangigen Hauptachsen gegeben, entlang derer die meisten aktuellen Entwicklungen ...
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2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018 In the last decade the usage and study of data mining and machine learning algorithms have received an increasing attention from several and heterogeneous fields of research. Learning how and why a certain algorithm returns a particular result, and understanding which are the main problems connected to its execution is a hot topic in the education of ...
Guidotti R., Monreale A., Rinzivillo S.
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Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks
Journal of Intelligent Systems, 2020 The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping +4 more
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