[HTML][HTML] Data harmonization for heterogeneous datasets: a systematic literature review
As data size increases drastically, its variety also increases. Investigating such
heterogeneous data is one of the most challenging tasks in information management and …
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 …
each management of organizations, in terms of business intelligence (BI) as critical factors …
Supporting design problem-exploring with emergent technologies
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 …
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 …
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 …
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 …
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 …
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 …
pose significant challenges to organisations in ensuring transaction security and detecting …