Abstract
Over the past few decades, we have witnessed significant advances in technology that have done so much to change the way we live and communicate, e.g. the medical and biotechnology, the internet and mobile technology etc. Often these technologies lead to a huge amount of data being generated, and making best use of these technologies often depends on how best to interpret these data in the context of many problem solving and complex systems. Intelligent Data Analysis is needed to address the interdisciplinary challenges concerned with the effective analysis of data [1-3]. In this talk, I will look into a range of real world complex systems via technological changes and explore the role of IDA in these systems, in particular, how to ensure that quality data are obtained for analysis, to handle human factors and domain knowledge with care, to meet challenges in modelling dynamic systems, as well as to consider all these when analysing complex systems [4-10].
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Liu, X. (2011). Intelligent Data Analysis: Keeping Pace with Technological Advances. In: Gama, J., Bradley, E., Hollmén, J. (eds) Advances in Intelligent Data Analysis X. IDA 2011. Lecture Notes in Computer Science, vol 7014. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24800-9_3
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DOI: https://doi.org/10.1007/978-3-642-24800-9_3
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