On neural networks and learning systems for business computing
Artificial intelligence, including neural networks, deep learning and machine learning, has
made numerous progress and offered new opportunity for academic research and …
made numerous progress and offered new opportunity for academic research and …
The role of digital techniques in organisational resilience and performance of logistics firms in response to disruptive events: Flooding as an example
Climate change has resulted in the increased frequency and intensity of extreme weather
events. One example is flooding, which has driven logistics firms to reconsider their …
events. One example is flooding, which has driven logistics firms to reconsider their …
Does the world need to change its vaccine distribution strategy for COVID-19?
During an emergency, there are many activities in a pharmaceutical supply chain (PSC)
which are rendered ineffective. This study aims to propose a holistic approach for Big Data …
which are rendered ineffective. This study aims to propose a holistic approach for Big Data …
Stochastic Frontier Analysis and Wavelet Ideology in the Study of Emergence of Threats in the Financial Markets
Financial markets are an important structural element of the economy. These markets make
it possible to mobilize and reallocate financial resources. However, such a process is …
it possible to mobilize and reallocate financial resources. However, such a process is …
Automatically building service-based systems with function relaxation
Building a quality service-based system (SBS) is one of the most important research topics
in software engineering. Many studies investigate intelligent methods to simplify the process …
in software engineering. Many studies investigate intelligent methods to simplify the process …
Apriori versions based on mapreduce for mining frequent patterns on big data
JM Luna, F Padillo, M Pechenizkiy… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Pattern mining is one of the most important tasks to extract meaningful and useful
information from raw data. This task aims to extract item-sets that represent any type of …
information from raw data. This task aims to extract item-sets that represent any type of …
The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors
Operational risks are increasingly prevalent and complex to manage in organisations,
culminating in substantial financial and non-financial costs. Given the inefficiencies and …
culminating in substantial financial and non-financial costs. Given the inefficiencies and …
Developing business risk resilience through risk management infrastructure: The moderating role of big data analytics
N Singh - Information Systems Management, 2022 - Taylor & Francis
This article evaluates how firms are able to enhance the effectiveness of their Risk
Management Infrastructure (RMI) by using Big Data Analytics (BDA) to improve their risk …
Management Infrastructure (RMI) by using Big Data Analytics (BDA) to improve their risk …
Identifying research trends of machine learning in business: a topic modeling approach
P Pramanik, RK Jana - Measuring Business Excellence, 2023 - emerald.com
Purpose This paper aims to discuss the suitability of topic modeling as a review method,
identifies and compares the machine learning (ML) research trends in five primary business …
identifies and compares the machine learning (ML) research trends in five primary business …
Big data and innovation in tourism, travel, and hospitality
Information has always been the lifeblood of tourism. Nowadays, technological advances
related to big data further enable transformation and rapid innovation in tourism (Sigala …
related to big data further enable transformation and rapid innovation in tourism (Sigala …