Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates

Article Engineering, Civil

Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering

Francisco Neves et al.

Summary: The study presents a structured view on applying biclustering for mining traffic patterns in urban road mobility. Through the case study of Lisbon city, it illustrates the importance of biclustering in finding statistically significant and actionable spatiotemporal associations of road mobility.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns

Rui Henriques et al.

Summary: This study evaluates the impact of discriminative patterns with varying coherence and quality on associative classification, introducing a novel classifier called FleBiC. By extending pattern-based biclustering, FleBiC improves the performance of state-of-the-art classifiers.

PATTERN RECOGNITION (2021)

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Article Computer Science, Information Systems

Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain

Leonardo Alexandre et al.

Summary: Understanding the individualized risks of surgical procedures is crucial in personalized preparatory, intervention, and post-care protocols, especially in oncology. Biclustering presents a unique approach to identifying discriminative patterns of post-surgical risk, offering comprehensive and actionable insights for healthcare professionals.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)

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Article Biochemical Research Methods