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Data & Knowledge Engineering, Volume 139

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Volume 139, May 2022

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Julián Eduardo Plazas, Sandro Bimonte, Michel Schneider, Christophe de Vaulx, Pietro Battistoni, Monica Sebillo, Juan Carlos Corrales:
Sense, Transform & Send for the Internet of Things (STS4IoT): UML profile for data-centric IoT applications. 101971
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Bo Zhang, Kehao Liu, Haowen Wang, Maozhen Li, Jianguo Pan:
Chinese named-entity recognition via self-attention mechanism and position-aware influence propagation embedding. 101983
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Jiawei Xu, Vladimir Zadorozhny, Danchen Zhang, John Grant:
FaNDS: Fake News Detection System using energy flow. 101985
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Linshan Shen, Rongbo He, Shaobin Huang:
Entity alignment with adaptive margin learning knowledge graph embedding. 101987
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Manel Souibgui, Faten Atigui, Sadok Ben Yahia, Samira Si-Said Cherfi:
An embedding driven approach to automatically detect identifiers and references in document stores. 102003
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Osman Abul:
Location-privacy preserving partial nearby friends querying in urban areas. 102006
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Sai Ram Vallam Sudhakar, Namrata Kayastha, Kewei Sha:
OFES: Optimal feature evaluation and selection for multi-class classification. 102007
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I. Nasirtafreshi:
Forecasting cryptocurrency prices using Recurrent Neural Network and Long Short-term Memory. 102009
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Jeferson O. Batista, João Paulo A. Almeida, Eduardo Zambon, Giancarlo Guizzardi:
Ontologically correct taxonomies by construction. 102012
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Veronika Plotnikova, Marlon Dumas, Fredrik P. Milani:
Applying the CRISP-DM data mining process in the financial services industry: Elicitation of adaptation requirements. 102013
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Alaa Zreik, Zoubida Kedad:
Matching and analysing conservation-restoration trajectories. 102015
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Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau:
Graph data temporal evolutions: From conceptual modelling to implementation. 102017
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Lhorie Pirnay, Corentin Burnay:
How to build data-driven Strategy Maps? A methodological framework proposition. 102019

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