An adaptable big data value chain framework for end-to-end big data monetization

AZ Faroukhi, I El Alaoui, Y Gahi, A Amine - Big Data and Cognitive …, 2020 - mdpi.com
Today, almost all active organizations manage a large amount of data from their business
operations with partners, customers, and even competitors. They rely on Data Value Chain …

Big data reduction framework for value creation in sustainable enterprises

MH ur Rehman, V Chang, A Batool, TY Wah - International journal of …, 2016 - Elsevier
Value creation is a major sustainability factor for enterprises, in addition to profit
maximization and revenue generation. Modern enterprises collect big data from various …

Big data reduction methods: a survey

MH ur Rehman, CS Liew, A Abbas… - Data Science and …, 2016 - Springer
Research on big data analytics is entering in the new phase called fast data where multiple
gigabytes of data arrive in the big data systems every second. Modern big data systems …

Taxonomy of edge computing: Challenges, opportunities, and data reduction methods

K Jain, S Mohapatra - Edge Computing: From Hype to Reality, 2019 - Springer
Abstract The Internet of Things (IoT) is expected to grow faster than any other category of
connected devices. IoT allows any device with an on-and-off switch to connect to the internet …

Rededge: A novel architecture for big data processing in mobile edge computing environments

M Habib ur Rehman, PP Jayaraman… - Journal of Sensor and …, 2017 - mdpi.com
We are witnessing the emergence of new big data processing architectures due to the
convergence of the Internet of Things (IoTs), edge computing and cloud computing. Existing …

The rise of big data science: A survey of techniques, methods and approaches in the field of natural language processing and network theory

J Ray, O Johnny, M Trovati, S Sotiriadis… - Big Data and Cognitive …, 2018 - mdpi.com
The continuous creation of data has posed new research challenges due to its complexity,
diversity and volume. Consequently, Big Data has increasingly become a fully recognised …

Automated extraction of fragments of Bayesian networks from textual sources

M Trovati, J Hayes, F Palmieri, N Bessis - Applied Soft Computing, 2017 - Elsevier
Mining large amounts of unstructured data for extracting meaningful, accurate, and
actionable information, is at the core of a variety of research disciplines including computer …

Evaluating risk propagation in renewable energy incidents using ontology-based Bayesian networks extracted from news reports

Q Wang, C Li - International Journal of Green Energy, 2022 - Taylor & Francis
Accidents in the booming renewable energy industries can negatively impact people,
animals, and buildings in social systems and ecosystems. Many studies focus on the …

[PDF][PDF] 国务院政府工作报告(1954—2017) 文本挖掘及社会变迁研究

魏伟, 郭崇慧, 陈静锋 - 情报学报, 2018 - qbxb.istic.ac.cn
摘要国务院政府工作报告是一类具有施政纲领性质的综合政策性文本. 采用文本挖掘技术对历年
工作报告进行多粒度, 多层次的综合定量分析, 对快速理解领域内容的发展变化以及发现社会 …

A hybrid spam detection method based on unstructured datasets

Y Shao, M Trovati, Q Shi, O Angelopoulou… - Soft Computing, 2017 - Springer
The identification of non-genuine or malicious messages poses a variety of challenges due
to the continuous changes in the techniques utilised by cyber-criminals. In this article, we …