Patients with chronic diseases may have files that include dozens of clinical records that providers may not have time to ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Synopsis This discovery-driven proteomics study of a pediatric population - including rare diseases - introduces a SNOMED CT-guided clustering framework that enables analysis across underpowered ...

This course introduces the fundamental theory and concepts of Artificial intelligence (AI) and Data Mining methods, in particular state space representation and search strategies, association rule ...

The SOM algorithm, which incorporated both qualitative and quantitative data, produced the best model, resulting in the identification of three distinct domains. These findings underscore the ...

Data mining is like digging for gold. You’ve likely heard the term “data mining” before, but have you wondered what it means, ...

A large amount of data, such as the state of batteries and motors, are generated during the use and operation of new energy vehicles. How to use a large amount ...

Microblog data analysis Text data is one of the main sources of network data. Using text mining technology to convert semi-structured text data into structured data for processing and analysis, and ...

Various clustering identification methods have been developed in the context of the statistical data analysis [35, 36] and several have been used to study the spatio-temporal patterns of natural and ...