[HTML][HTML] Lean based maturity framework integrating value, BIM and big data analytics: evidence from AEC industry

G Demirdöğen, NS Diren, H Aladağ, Z Işık - Sustainability, 2021 - mdpi.com
The construction industry is considered as one of the least productive, highest energy
consuming, and least digitized industries. The Lean Management (LM) philosophy became …

Aimdp: An artificial intelligence modern data platform. use case for spanish national health service data silo

AS Ortega-Calvo, R Morcillo-Jimenez… - Future Generation …, 2023 - Elsevier
The huge amount of data being handled today in any environment, such as energy,
economics or healthcare, makes data management systems key to extracting information …

Big data analytics in the AEC industry: scientometric review and synthesis of research activities

E Ohene, G Nani, MF Antwi-Afari, A Darko… - Engineering …, 2024 - emerald.com
Purpose Unlocking the potential of Big Data Analytics (BDA) has proven to be a
transformative factor for the Architecture, Engineering and Construction (AEC) industry. This …

[HTML][HTML] A fuzzy-based medical system for pattern mining in a distributed environment: Application to diagnostic and co-morbidity

C Fernandez-Basso, K Gutiérrez-Batista… - Applied Soft …, 2022 - Elsevier
In this paper we have addressed the extraction of hidden knowledge from medical records
using data mining techniques such as association rules in conjunction with fuzzy logic in a …

Review of survey research in fuzzy approach for text mining

YW Lai, MY Chen - IEEE Access, 2023 - ieeexplore.ieee.org
Text mining has been a popular research topic in the field of natural language processing.
With the emergence of Web 2.0 and the development of social software, the amount of text …

New spark solutions for distributed frequent itemset and association rule mining algorithms

C Fernandez-Basso, MD Ruiz, MJ Martin-Bautista - Cluster Computing, 2024 - Springer
The large amount of data generated every day makes necessary the re-implementation of
new methods capable of handle with massive data efficiently. This is the case of Association …

Big data architecture for building energy management systems

MD Ruiz, J Gómez-Romero… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The enormous quantity of data handled by building management systems are key to
develop more efficient energy operational systems. However, the inability of current systems …

[HTML][HTML] Spark solutions for discovering fuzzy association rules in Big Data

C Fernandez-Basso, MD Ruiz… - International Journal of …, 2021 - Elsevier
The high computational impact when mining fuzzy association rules grows significantly
when managing very large data sets, triggering in many cases a memory overflow error and …

A big data association rule mining based approach for energy building behaviour analysis in an IoT environment

M Dolores, C Fernandez-Basso, J Gómez-Romero… - Scientific Reports, 2023 - nature.com
The enormous amount of data generated by sensors and other data sources in modern grid
management systems requires new infrastructures, such as IoT (Internet of Things) and Big …

Performance of a distributed apriori algorithm using the serverless functions of the apollo framework

M Shahin, SA Shah, R Sharma, T Ghasempouri… - Computer Science On …, 2024 - Springer
Early diagnosis and accurate judgment are paramount in cancer diagnosis and treatment.
Establishing an effective cancer early warning system is crucial to improve patient outcomes …