Recognising innovative companies by using a diversified stacked generalisation method for website classification-Reference-Cited by-同舟云学术

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Recognising innovative companies by using a diversified stacked generalisation method for website classification

Published:2019-06-22 Issue:1 Volume:50 Page:42-60
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Mirończuk Marcin Michał^ORCID,Protasiewicz Jarosław

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10489-019-01509-1.pdf

Reference75 articles.

1. Adebowale M, Lwin K, Sánchez E, Hossain M (2018) Intelligent web-phishing detection and protection scheme using integrated features of images, frames and text Expert Systems with Applications

2. Aggarwal CC (2018) Machine learning for text springer. https://doi.org/10.1007/978-3-319-73531-3

3. Allaire J, Chollet F keras: R Interface to ’Keras’ (2018). https://CRAN.R-project.org/package=keras . R package version 2.2.4

4. Almeida TA, Silva TP, Santos I, Hidalgo JMG (2016) Text normalization and semantic indexing to enhance instant messaging and sms spam filtering. Knowl-Based Syst 108:25–32

5. Asim Y, Shahid AR, Malik AK, Raza B (2017) Significance of machine learning algorithms in professional blogger’s classification. Computers & Electrical Engineering

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