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A survey on evolutionary machine learning
H Al-Sahaf, Y Bi, Q Chen, A Lensen, Y Mei… - Journal of the Royal …, 2019 - Taylor & Francis
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …
function like humans. AI has been applied to many real-world applications. Machine …
Filter feature selection methods for text classification: a review
H Ming, W Heyong - Multimedia Tools and Applications, 2024 - Springer
Filter feature selection methods are utilized to select discriminative terms from high-
dimensional text data to improve text classification performance and reduce computational …
dimensional text data to improve text classification performance and reduce computational …
[HTML][HTML] Stacking-based ensemble learning of self-media data for marketing intention detection
Social network services for self-media, such as Weibo, Blog, and WeChat Public, constitute
a powerful medium that allows users to publish posts every day. Due to insufficient …
a powerful medium that allows users to publish posts every day. Due to insufficient …
Comparative study of Arabic stemming algorithms for topic identification
M Naili, AH Chaibi, HHB Ghezala - Procedia Computer Science, 2019 - Elsevier
Stemming process is one of the important pre-processing steps in different natural language
process tasks such as text mining and information retrieval. Yet, stemming process can be …
process tasks such as text mining and information retrieval. Yet, stemming process can be …
A new framework for detecting insider attacks in cloud-based e-health care system
FM Okikiola, AM Mustapha, AF Akinsola… - 2020 International …, 2020 - ieeexplore.ieee.org
The effect of insider attack on the e-Healthcare system can lead to false examination of
patient's health records which have led to unaccountability of data usage and high financial …
patient's health records which have led to unaccountability of data usage and high financial …
An automatic document classifier system based on genetic algorithm and taxonomy
A Diaz-Manriquez, AB Ríos-Alvarado… - IEEE …, 2018 - ieeexplore.ieee.org
The use of the Web has increased the creation of digital information in an accelerated way
and about multiple subjects. Text classification is widely used to filter emails, classify Web …
and about multiple subjects. Text classification is widely used to filter emails, classify Web …
Information asset classification and labelling model using fuzzy approach for effective security risk assessment
CY Alonge, OT Arogundade… - 2020 International …, 2020 - ieeexplore.ieee.org
Many information assets have been exposed to threats as a result of business owners not
having access to an efficient model for classifying their information assets into appropriate …
having access to an efficient model for classifying their information assets into appropriate …
A review study on arabic text classification
Documents contain a vast amount of crucial human information. The substantial rise in the
number of electronic documents available for personal or public usage necessitates the …
number of electronic documents available for personal or public usage necessitates the …
A survey on text classification techniques for sentiment polarity detection
N Arunachalam, SJ Sneka… - 2017 Innovations in …, 2017 - ieeexplore.ieee.org
With the increasing growth and availability of resources, there arises a difficulty in gaining
relevant information. Text classification is a mining method to classify each document into a …
relevant information. Text classification is a mining method to classify each document into a …
Evolutionary Classification
Classification is a supervised machine learning process that categories an instance based
on a number of features. The process of classification involves several stages, including …
on a number of features. The process of classification involves several stages, including …