[HTML][HTML] Text mining in big data analytics

H Hassani, C Beneki, S Unger, MT Mazinani… - Big Data and Cognitive …, 2020 - mdpi.com
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

Towards felicitous decision making: An overview on challenges and trends of Big Data

H Wang, Z Xu, H Fujita, S Liu - Information Sciences, 2016 - Elsevier
Abstract The era of Big Data has arrived along with large volume, complex and growing data
generated by many distinct sources. Nowadays, nearly every aspect of the modern society is …

News recommender systems–Survey and roads ahead

M Karimi, D Jannach, M Jugovac - Information Processing & Management, 2018 - Elsevier
More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …

[HTML][HTML] Using twitter and web news mining to predict COVID-19 outbreak

K Jahanbin, V Rahmanian - Asian Pacific journal of tropical …, 2020 - journals.lww.com
On January 9, 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
formerly known as 2019-nCoV, was declared the causative agent in 15 of the 59 …

Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems

HJ Li, Z Wang, J Cao, J Pei, Y Shi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The design of fusion engines is a subject of great importance in a variety of fields. In this
paper, we focus on the problem of linear fusion at the feature level for multiple signal …

An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities

H Wang, Z Xu, W Pedrycz - Knowledge-Based Systems, 2017 - Elsevier
In the era of big data, we are facing with an immense volume and high velocity of data with
complex structures. Data can be produced by online and offline transactions, social …

Recommender system with grey wolf optimizer and FCM

R Katarya, OP Verma - Neural Computing and Applications, 2018 - Springer
Recommender systems are contributing a significant aspect in information filtering and
knowledge management systems. They provide explicit and reliable recommendations to …

Evolving fuzzy and neuro-fuzzy systems: Fundamentals, stability, explainability, useability, and applications

E Lughofer - Handbook on Computer Learning and Intelligence …, 2022 - World Scientific
This chapter provides an all-round picture of the development and advances in the fields of
evolving fuzzy systems (EFS) and evolving neuro-fuzzy systems (ENFS) which have been …

Modeling and control with neural networks for a magnetic levitation system

J de Jesús Rubio, L Zhang, E Lughofer, P Cruz… - Neurocomputing, 2017 - Elsevier
This study presents the model and control of the magnetic levitation system. The model
considers the angular position of the ball, also a neural network approximates the …

A bibliometric analysis and cutting-edge overview on fuzzy techniques in Big Data

AK Shukla, PK Muhuri, A Abraham - Engineering Applications of Artificial …, 2020 - Elsevier
Over the last few years, Big Data has gained a tremendous attention from the research
community. The data being generated in huge quantity from almost every field is …