Innovative methodologies and processes bridge the gap between academia and business to help organisations make smart decisions, by examining data in various forms, extracting critical knowledge or insights, and disclosing this as actionable intelligence.
Data Science and Knowledge Discovery Lab
![Headshot of AAII's Professor Ling Chen](/sites/default/files/styles/wysiwyg_generic_large_x1/public/2024-01/Ling_300x300.jpg?itok=rwi4L5Ec)
Professor Ling Chen | Lab Director
![Headshot of AAII's A/Prof Guodong Long](/sites/default/files/styles/wysiwyg_generic_large_x1/public/2024-01/Guodong%20Long%20Headshot_300x300.jpg?itok=C5otL4oi)
Associate Professor Guodong Long | Lab Co-Director
The DSKD Lab is driving theoretical and practical innovation in data science and knowledge discovery, machine learning, and big data analytics.
Our Lab develops techniques and tools that help businesses to solve problems and make smarter decisions that will ultimately enable them to reach their organisational goals. It also focuses on innovative research to address cutting edge problems in the research community.
![DSKD Lab applications](/sites/default/files/styles/wysiwyg_generic_large_x1/public/2020-05/DSKD%20images%20web%203.jpg?itok=tPnzTdEM)
Above: Machine-learning-guided software analysis for large programs with millions of lines of code, including software bug detection, verification and maintenance
Top left: Life cycle of data-analytics approach for enterprise resilience
Top right: A conceptual framework of Binarized Attributed Network Embedding