Towards a reuse strategic decision pattern framework–from theories to practices
V Chang, M Abdel-Basset… - Information Systems …, 2019 - Springer
This paper demonstrates our proposed Reuse Strategic Decision Pattern Framework
(RSDPF) based on blending ANP and TOPSIS techniques, enabled by the OSM model with …
(RSDPF) based on blending ANP and TOPSIS techniques, enabled by the OSM model with …
Spatial-temporal data science of COVID-19 data
Big data are emerging paradigm that can be applied to huge volume of valuable data, which
are often generated or collected at a fast velocity from a wide variety of rich data sources …
are often generated or collected at a fast velocity from a wide variety of rich data sources …
Big data intelligence solution for health analytics of COVID-19 data with spatial hierarchy
CK Leung, C Zhao - 2021 IEEE 7th International Conference on …, 2021 - ieeexplore.ieee.org
In the current era of big data, technological advancements have made it easy and quick to
generate and collect huge volumes of varieties of data from wide ranges of rich data …
generate and collect huge volumes of varieties of data from wide ranges of rich data …
Fast privacy-preserving keyword search on encrypted outsourced data
BH Wodi, CK Leung, A Cuzzocrea… - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
Cloud providers offer storage as a service to the data owners to store emails and files on the
cloud server. However, sensitive data should be encrypted before storing on the cloud …
cloud server. However, sensitive data should be encrypted before storing on the cloud …
PyramidViz: visual analytics and big data visualization for frequent patterns
CK Leung, VV Kononov, AGM Pazdor… - 2016 IEEE 14th Intl …, 2016 - ieeexplore.ieee.org
Frequent pattern mining aims discover implicit, previously unknown and potentially useful
knowledge in the form of frequently co-occurring items, events, or objects. These discovered …
knowledge in the form of frequently co-occurring items, events, or objects. These discovered …
Urban air quality analysis and prediction using machine learning
Air pollution is one of the influential factors that can affect the quality of every living being in
the environment. Monitoring the air pollution is a scathing issue. In this work, air pollutant …
the environment. Monitoring the air pollution is a scathing issue. In this work, air pollutant …
Analyzing COVID-19 epidemiological data
C Zhao, CK Leung, AGM Pazdor… - 2021 IEEE Intl Conf on …, 2021 - ieeexplore.ieee.org
Technological advancements have made it easy and quick to generate and collect huge
volumes of varieties of data from wide ranges of rich data sources. These big data may be of …
volumes of varieties of data from wide ranges of rich data sources. These big data may be of …
Architectures of big data analytics: scaling out data mining algorithms using Hadoop–MapReduce and Spark
S Kamaruddin, V Ravi - 2021 - IET
Many statistical and machine learning (ML) techniques have been successfully applied to
small-sized datasets during the past one and half decades. However, in today's world …
small-sized datasets during the past one and half decades. However, in today's world …
A survey on BigData with various V's on comparison of apache hadoop and apache spark
M BalaAnand, N Karthikeyan, S Karthik… - Advances in Natural …, 2017 - go.gale.com
The world is running by data which is generated from various sources such as social media,
mobile networks, banking sector, transportation and so on. Difficulty hidden on these …
mobile networks, banking sector, transportation and so on. Difficulty hidden on these …
Complex Mining from Uncertain Big Data in Distributed Environments: Problems, Definitions, and Two Effective and Efficient Algorithms
298Big data refer to a wide variety of valuable data of different veracities that are generated
or collected at a high velocity with volumes beyond the ability of commonly used software to …
or collected at a high velocity with volumes beyond the ability of commonly used software to …