[HTML][HTML] Data harmonization for heterogeneous datasets: a systematic literature review

G Kumar, S Basri, AA Imam, SA Khowaja, LF Capretz… - Applied Sciences, 2021 - mdpi.com
As data size increases drastically, its variety also increases. Investigating such
heterogeneous data is one of the most challenging tasks in information management and …

A framework for managing uncertainty in information system project selection: An intelligent fuzzy approach

D Pramanik, SC Mondal, A Haldar - Big Data and Information …, 2022 - taylorfrancis.com
Information System Project (ISP) Selection is the most significant strategic consideration to
each management of organizations, in terms of business intelligence (BI) as critical factors …

Supporting design problem-exploring with emergent technologies

C Obieke, J Milisavljevic-Syed, J Han - Procedia CIRP, 2020 - Elsevier
The goal in this study is to highlight the value of using emergent technologies to support
human effort in identifying creative design problems. First, we explore the relationship …

[PDF][PDF] Integration Approaches for Heterogeneous Big Data: A Survey

A Quraan, FN AL-Aswadi… - Cybernetics and …, 2024 - intapi.sciendo.com
Modern organizations are currently wrestling with strenuous challenges relating to the
management of heterogeneous big data, which combines data from various sources and …

Understanding the torrefaction of woody and agricultural biomasses through their extracted macromolecular components. Part 2: Torrefaction model

MG Martínez, C Dupont, A Anca-Couce… - Energy, 2020 - Elsevier
A new torrefaction model was proposed for predicting solid mass loss in torrefaction as a
function of biomass main macromolecular composition and type, as well as on the operating …

Realizing the Potential of Big Data Analytics through Apache Spark MLlib

AA Shehloo, GG Varshney - Nanotechnology Perceptions, 2024 - nano-ntp.com
The exponential growth of diverse digital data continues to present significant challenges in
efficient storage and meaningful analysis. Apache Spark, with its in-memory cluster …

Online Anomaly Detection of Industrial Processes and Machinery Based on Logical Analysis of Data and Statistical Control Charts

RMK Mohammed - 2022 - publications.polymtl.ca
De nos jours, les processus de fabrication évoluent pour intégrer les technologies de
l'industrie 4.0, à savoir celles nécessaires à la connectivité, à l'analyse, à l'évolutivité et à la …

[PDF][PDF] An Innovative Big Data Analytics Method for Detecting Data Abnormalities in Business Organisations

R Sabharwal - nova.newcastle.edu.au
The increasing volume and complexity of customer transactions in today's digital landscape
pose significant challenges to organisations in ensuring transaction security and detecting …