Submission Deadline: 25 April 2024 (closed) View: 141
In this data-driven era, it has become an unavoidable challenge to handle vast and complex data from diverse sources, which universally suffer from the imperfections, incompleteness, noise, and heterogeneity, making it a formidable challenge to realize efficient analysis and interpretation. The primary objective of this proposed special issue is to delve into innovative approaches, models, and algorithms capable of intelligently analyzing imperfect data within complex scenarios. Our focus lies in developing advanced techniques that leverage the power of modeling, learning, and optimization strategies to extract valuable insights and improve decision-making accuracy with compromised data quality.
The significance of this special issue is rooted in its potential to bridge the gap between theoretical advancements and practical applications. It will provide a platform for researchers to present their novel approaches to addressing the challenges posed by imperfect data, thereby facilitating a deeper comprehension of the intricacies encountered in practical scenarios.
The technical innovation lies in the development of intelligent algorithms that possess the capability to handle data imperfections effectively and efficiently, enabling the improved decision support in various domains, including aerospace, biomedicine, and industry, etc. This special issue seamlessly aligns with the scope of the journal by contributing cutting-edge research that advances the state-of-the-art in intelligent data analysis. It serves as a platform for groundbreaking work that advances the current boundaries of knowledge and practice in this domain.
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