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[HTML][HTML] Lean based maturity framework integrating value, BIM and big data analytics: evidence from AEC industry
The construction industry is considered as one of the least productive, highest energy
consuming, and least digitized industries. The Lean Management (LM) philosophy became …
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 …
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
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 …
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
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 …
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 …
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
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 …
new methods capable of handle with massive data efficiently. This is the case of Association …
Big data architecture for building energy management systems
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 …
develop more efficient energy operational systems. However, the inability of current systems …
[HTML][HTML] Spark solutions for discovering fuzzy association rules in Big Data
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 …
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
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 …
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
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 …
Establishing an effective cancer early warning system is crucial to improve patient outcomes …