About |
This Special Issue aims to demonstrate the indispensable role of business, data and methodological know-how in helping decision-making and how to use and exploit the prior knowledge to enhance data analytic for autonomous decision-making. |
Call for Papers |
We are seeking both conceptual and empirical papers offering new insights and contribution to the development of data analytic algorithms and systems for autonomous decision-making, which focus on the following topics (but are not limited to) which demonstrate the role of exploiting the knowledge to enhance data analytics: • Application that have limited data; • Applications require safety or stability guarantees; • Applications while large amounts of quality training data are unavailable; • Application while the objects to be recognized are complex, (e.g., implicit entities and highly subjective content); • Applications need to use complementary or related data in multiple modalities/media; • Enhancing the capability in handling uncertainty; • Enhancing transparency, interpretability and explainability; • Reducing the complexity of model architecture in time and space; • Enhancing the capability to avoid social discrimination and unfair treatment; • Enhancing automated decision making capability and performance; • Enhancing reliability and integrity of data analytics. |
Credits and Sources |
[1] IJAR Special Issue 2020 : Special Issue on Knowledge Enhanced Data Analytics for Autonomous Decision Making |