Projects per year
Personal profile
Biography
Dr Liu received her PhD from the University of Newcastle, Australia in 2003. She is now a full time teaching & research academic in the Department of Computer Science and Software Engineering at the University of Western Australia. Her research focuses on knowledge discovery from natural language text, deep learning methods for knowledge graph construction and analysis, as well as sequential data mining and forecasting in traffic and water consumption domain. She has published in highly reputable venues such as ACM Computer Surveys, Journal of Data Mining and Knowledge Discovery, Knowledge and Information Systems, International Conference on Data Engineering (ICDE), ACM International Conference on Information and Knowledge Management (CIKM). She has won three Australian Research Council Grants and managed several industry grants. Her current industry-related research projects include knowledge graph refinement for geological survey reports, incident log analysis and visualisation, short-term traffic predication and cognitive computing for asset management.
Keywords
- Ontology learning
- Text mining
- Web services
- The semantic web
- Smart home
- Agent-oriented software engineering
- Trust in service-oriented environment
- Truth maintenance and belief revision
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Classifiers
Engineering & Materials Science
Ontology
Engineering & Materials Science
Smart meters
Engineering & Materials Science
Data mining
Engineering & Materials Science
Semantics
Engineering & Materials Science
Knowledge Discovery
Mathematics
Terminology
Engineering & Materials Science
Web services
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2004 2023
ARC Training Centre for Transforming Maintenance through Data Science
Small, M., Hodkiewicz, M., Reynolds, M., Liu, W., While, R., French, T., Cripps, E., Cardell-Oliver, R., Rohl, A., Loxton, R., O'Halloran, K., Tan, T. & Calo, V.
1/01/19 → 31/12/23
Project: Research
Using Big Data to Predict Incidents on Roads
Sun, Y., Reynolds, M., Liu, W. & Stemler, T.
1/10/18 → 31/03/19
Project: Research
Enhanced short and longer term network performance prediction capabilities through data-driven analytics and simulation
Biermann, S., Sun, Y., Liu, W., Reynolds, M. & Olaru, D.
1/07/17 → 30/06/20
Project: Research
Research Output 2001 2018
An incremental anytime algorithm for mining T-patterns from event streams
Johnson, K. & Liu, W., 1 Jan 2018, Data Mining - 15th Australasian Conference, AusDM 2017, Revised Selected Papers. Stirling, D., Boo, Y. L., Chi, L., Ong, K-L., Liu, L. & Williams, G. (eds.). Springer-Verlag Wien, p. 144-157 14 p. (Communications in Computer and Information Science; vol. 845).Research output: Chapter in Book/Conference paper › Conference paper
Incremental Algorithm
Mining
Time delay
DNA sequences
Animals
A novel framework for constructing partially monotone rule ensembles
Bartley, C., Liu, W. & Reynolds, M., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1324-1327 4 p. 8509361Research output: Chapter in Book/Conference paper › Conference paper
Classifiers
Learning systems
Cones
Tumors
Experiments
Detection and interpretation of anomalous water use for non-residential customers
Patabendige, S., Cardell-Oliver, R., Wang, R. & Liu, W., 1 Feb 2018, In : Environmental Modelling and Software. 100, p. 291-301 11 p.Research output: Contribution to journal › Article
water use
anomaly
Water
Water meters
Smart meters
Neural Representations of Natural Language
White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, Austria: Springer. 5 p. (Studies in Computational Intelligence)Research output: Book/Report › Book
Neural networks
Recurrent neural networks
Byproducts
Towards geological knowledge discovery using vector-based semantic similarity
Enkhsaikhan, M., Liu, W., Holden, E. J. & Duuring, P., 1 Jan 2018, Advanced Data Mining and Applications - 14th International Conference, ADMA 2018, Proceedings. Gan, G., Li, X., Wang, S. & Li, B. (eds.). Springer-Verlag Wien, p. 224-237 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11323 LNAI).Research output: Chapter in Book/Conference paper › Conference paper
Semantic Similarity
Knowledge Discovery
Data mining
Semantics
Query