A comprehensive survey of data mining
Data mining plays an important role in various human activities because it extracts the
unknown useful patterns (or knowledge). Due to its capabilities, data mining become an …
unknown useful patterns (or knowledge). Due to its capabilities, data mining become an …
[HTML][HTML] Role of visual analytics in supporting mental healthcare systems research and policy: A systematic sco** review
The availability of healthcare data has exponentially grown, both in quantity and complexity.
The speed of this evolution has generated new challenges for translating complex data into …
The speed of this evolution has generated new challenges for translating complex data into …
Automatic identification of the number of clusters in hierarchical clustering
Hierarchical clustering is one of the most suitable tools to discover the underlying true
structure of a dataset in the case of unsupervised learning where the ground truth is …
structure of a dataset in the case of unsupervised learning where the ground truth is …
[HTML][HTML] The value of human data annotation for machine learning based anomaly detection in environmental systems
Anomaly detection is the process of identifying unexpected data samples in datasets.
Automated anomaly detection is either performed using supervised machine learning …
Automated anomaly detection is either performed using supervised machine learning …
Application of knowledge discovery in database (KDD) techniques in cost overrun of construction projects
Currently, cost overrun is a global challenge to completing construction projects
successfully. To overcome this problem, earlier studies investigated factors of cost overrun …
successfully. To overcome this problem, earlier studies investigated factors of cost overrun …
A survey on pre-processing techniques: Relevant issues in the context of environmental data mining
One of the important issues related with all types of data analysis, either statistical data
analysis, machine learning, data mining, data science or whatever form of data-driven …
analysis, machine learning, data mining, data science or whatever form of data-driven …
A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks
Abstract Recently, advances in Information Technologies (social networks, mobile
applications, Internet of Things, etc.) generate a deluge of digital data; but to convert these …
applications, Internet of Things, etc.) generate a deluge of digital data; but to convert these …
A process to implement an artificial neural network and association rules techniques to improve asset performance and energy efficiency
In this paper, we address the problem of asset performance monitoring, with the intention of
both detecting any potential reliability problem and predicting any loss of energy …
both detecting any potential reliability problem and predicting any loss of energy …
Analysis of data mining techniques for constructing a predictive model for academic performance
This paper presents and analyzes the experience of applying certain data mining methods
and techniques on 932 Systems Engineering students' data, from El Bosque University in …
and techniques on 932 Systems Engineering students' data, from El Bosque University in …
[HTML][HTML] AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0
E Alberti, S Alvarez-Napagao, V Anaya, M Barroso… - Systems, 2024 - mdpi.com
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0
is a new phase of industrialization that places the worker at the center of the production …
is a new phase of industrialization that places the worker at the center of the production …