Applications of machine learning in knowledge management system: a comprehensive review

CGK Simon, NZ Jhanjhi, WW Goh… - Journal of Information & …, 2022 - World Scientific
As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …

Machine learning and OLAP on big COVID-19 data

CK Leung, Y Chen, CSH Hoi, S Shang… - … Conference on Big …, 2020 - ieeexplore.ieee.org
In the current technological era, huge amounts of big data are generated and collected from
a wide variety of rich data sources. These big data can be of different levels of veracity in the …

Predictive analytics on open big data for supporting smart transportation services

PPF Balbin, JCR Barker, CK Leung, M Tran… - Procedia computer …, 2020 - Elsevier
In the current era of big data, huge quantities of valuable data, which may be of different
levels of veracity, are being generated at a rapid rate. Embedded into these big data are …

An innovative big data predictive analytics framework over hybrid big data sources with an application for disease analytics

J Souza, CK Leung, A Cuzzocrea - … of the 34th International Conference on …, 2020 - Springer
Nowadays, big data are everywhere. Examples of big data include weather data, web-
search data, disease reports, as well as epidemic data and statistics. These big data can be …

Personalized DeepInf: enhanced social influence prediction with deep learning and transfer learning

CK Leung, A Cuzzocrea, JJ Mai… - … conference on big …, 2019 - ieeexplore.ieee.org
Social influence is referred to as the phenomenon that one's opinions or behaviors be
affected by others. Nowadays, the potential impact of social influence analysis (SIA) is …

[HTML][HTML] An exploratory data analysis approach for analyzing financial accounting data using machine learning

P Chakri, S Pratap, SK Gouda - Decision Analytics Journal, 2023 - Elsevier
Analyzing financial accounting transactions is essential for gaining valuable hidden insights,
optimizing performance, reducing expenses by identifying more efficient methods of …

Big data and predictive analytics: A sytematic review of applications

A Jamarani, S Haddadi, R Sarvizadeh… - Artificial Intelligence …, 2024 - Springer
Big data involves processing vast amounts of data using advanced techniques. Its potential
is harnessed for predictive analytics, a sophisticated branch that anticipates unknown future …

Big data science on COVID-19 data

CK Leung, Y Chen, S Shang… - 2020 IEEE 14th …, 2020 - ieeexplore.ieee.org
In the current era of big data, high volume of big data can be generated and collected from a
wide variety of rich data sources at a rapid rate. Embedded in these big data are useful …

An innovative fuzzy logic-based machine learning algorithm for supporting predictive analytics on big transportation data

CK Leung, JD Elias, SM Minuk… - … on Fuzzy Systems …, 2020 - ieeexplore.ieee.org
In the current era of high precision monitoring and big data, many public transit users are still
suffering from problems caused by transit delays. To help address this problem, we design …

Open data lake to support machine learning on Arctic big data

AM Olawoyin, CK Leung… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The era of big data is evolving with the introduction of the data lake concept. While a data
warehouse provides a well-structured model to manage big data, a data lake accepts data of …