Doctor Laurence Park

Doctor Laurence Park

SENIOR LECTURER,
Mathematics

Personal

Qualifications

  • PhD University of Melbourne
  • BEng University of Melbourne
  • BSc University of Melbourne

UWS Organisational Unit (School / Division)

  • Mathematics

Contact

Email:L.Park@uws.edu.au
Extension:9065
Mobile:
Location:EN.1.32
Parramatta
Website:

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Biography

Laurence Park received the BE (Hons.) and BSc degrees from the University of Melbourne, Australia in 2000, and the PhD degree from the University of Melbourne in 2004. He joined the Computer Science department at The University of Melbourne as a Research Fellow in 2004, and was promoted to Senior Research Fellow in 2008. Laurence joined the School of  Computing and Mathematics at the University of Western Sydney as a Lecturer in Computational Mathematics and Statistics in 2009, where he is currently investigating methods of large scale data mining and machine learning.

This information has been contributed by Doctor Park.

Interests

  • Data Mining
  • Information Retrieval
  • Machine Learning

Publications

Journal Articles

  • Park, L. (2013), 'An effective retinal blood vessel segmentation method using multi-scale line detection', Pattern Recognition, 13.
  • Park, L. (2012), 'A quantitative measure for retinal blood vessel segmentation evaluation', International Journal of Computer Vision and Signal Processing, 8.
  • Park, L. (2012), 'Approximate document outlier detection using random spectral projection', Lecture Notes in Computer Science, 12.
  • Moshtaghi, M., Havens, T., Bezdek, J., Park, L., Leckie, C., Rajasegarar, S., Keller, J. and Palaniswami, M. (2011), 'Clustering ellipses for anomaly detection', Pattern Recognition, 15.
  • Park, L. and Ramamohanarao, K. (2011), 'Multiresolution Web link analysis using generalized link relations', IEEE Transactions on Knowledge and Data Engineering, 13.
  • Park, L., Moshtaghi, M., Havens, T., Bezdek, J., Leckie, C., Rajasegarar, S., Keller, J. and Palaniswami, M. (2011), 'Clustering ellipses for anomaly detection', Pattern Recognition, 15.
  • Zhang, Y., Park, L. and Moffatt, A. (2010), 'Click-based evidence for decaying weight distributions in search effectiveness metrics', Information Retrieval, 24.
  • Park, L. and Ramamohanarao, K. (2009), 'An analysis of latent semantic term self-correlation', ACM Transactions on Information Systems, .
  • Park, L. and Ramamohanarao, K. (2009), 'Efficient storage and retrieval of probabilistic latent semantic information for information retrieval', VLDB Journal, 15.
  • Nguyen, U., Park, L., Wang, L. and Ramamohanarao, K. (2009), 'A novel path-based clustering algorithm using multi-dimensional scaling', Lecture Notes in Computer Science, 11.
  • Park, L., Ramamohanarao, K., Leckie, C. and Bezdek, J. (2009), 'Adapting spectral co-clustering to documents and terms using Latent Semantic Analysis', Lecture Notes in Computer Science, 11.
  • Zobel, J., Moffat, A. and Park, L. (2009), 'Against recall: Is it persistence, cardinality, density, coverage, or totality?', ACM SIGIR Forum, 13.
  • Park, L., Palaniswami, M. and Ramamohanarao, K. (2005), 'A novel document ranking method using the discrete cosine transform', IEEE Transactions on Pattern Analysis and Machine Intelligence, 6.
  • Park, L., Ramamohanarao, K. and Palaniswami, M. (2005), 'A novel document retrieval method using the discrete wavelet transform', ACM Transactions on Information Systems, 32.
  • Ramamohanarao, K. and Park, L. (2004), 'Spectral-based document retrieval', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11.
  • Park, L., Ramamohanarao, K. and Palaniswami, M. (2004), 'Fourier domain scoring: A novel document ranking method', IEEE Transactions on Knowledge and Data Engineering, 11.
  • Park, L., Palaniswami, M. and Ramamohanarao, K. (2001), 'Internet document filtering using Fourier domain scoring', Lecture Notes in Artificial Intelligence, 12.

Conference Papers

  • Park, L. (2011), 'Bootstrap confidence intervals for mean average precision', Fourth ASEARC Conference, Parramatta.
  • Park, L. (2011), 'Bootstrap confidence intervals for mean average precision', The Fourth ASEARC Conference, Parramatta, NSW.
  • Park, L. (2011), 'Fast approximate text document clustering using compressive sampling', ECML PKDD 2011, Athens, Greece.
  • Park, L. (2011), 'Examining document model residuals to provide feedback during information retrieval evaluation', The Sixteenth Australasian Document Computing Symposium, ANU, Canberra.
  • Park, L. (2010), 'Confidence intervals for information retrieval evaluation', Fifteenth Australasian Document Computing Symposium, Melbourne.
  • Bezdek, J., Havens, T., Keller, J., Leckie, C., Park, L., Palani, M. and Rajasegarar, S. (2010), 'Clustering elliptical anomalies in sensor networks', Conference on Fuzzy Systems (FUZZ-IEEE), Barcelona.
  • Webber, W. and Park, L. (2009), 'Score adjustment for correction of pooling bias', 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 , .
  • Ravana, S., Park, L. and Moffat, A. (2009), 'System scoring using partial prior information', 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 , .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2009), 'Web access latency reduction using CRF-based predictive caching', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Park, L. and Ramamohanarao, K. (2009), 'Kernel latent semantic analysis using an information retrieval based kernel', International Conference on Information and Knowledge Management , .
  • Park, L. and Ramamohanarao, K. (2009), 'The sensitivity of latent dirichlet allocation for information retrieval', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2009), 'Grouped ECOC conditional random fields for prediction of web user behavior', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Park, L., Bezdek, J. and Leckie, C. (2009), 'Visualization of clusters in very large rectangular dissimilarity data', ICARA 2009 - 4th International Conference on Autonomous Robots and Agents , .
  • Park, L. and Ramamohanarao, K. (2008), 'The effect of weighted term frequencies on probabilistic latent semantic term relationships', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2008), 'Error correcting output coding-based Conditional Random Fields for Web page prediction', 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 , .
  • Park, L. and Ramamohanarao, K. (2008), 'Query expansion for the language modelling framework using the na??ve Bayes assumption', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Zhang, Y., Park, L. and Moffat, A. (2008), 'Parameter sensitivity in rank-biased precision', The Proceedings of the Thirteenth Australasian Document Computing Symposium, .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2008), 'Web page prediction based on conditional random fields', Proceedings of the 18th Europea Conference on Artificial Intelligence, .
  • Park, L. and Ramamohanarao, K. (2007), 'Mining web multi-resolution community-based popularity for information retrieval', International Conference on Information and Knowledge Management , .
  • Guo, Y., Ramamohnanarao, K. and Park, L. (2007), 'Personalized PageRank for web page prediction based on access time-length and frequency', IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 , .
  • Park, L. and Ramamohanarao, K. (2007), 'Query expansion using a collection dependent probabilistic latent semantic thesaurus', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Park, L. and Zhang, Y. (2007), 'On the distruibution of user persistence for rank-biased precision', Proceedings of the Twelth Australian Document Computing Symposium, .
  • Ramamohanarao, K. and Park, L. (2005), 'Broadening vector space schemes for improving the quality of information retrieval', Lecture Notes in Computer Science, .
  • Park, L. and Ramamohanarao, K. (2004), 'Hybrid pre-query term expansion using latent semantic analysis', Fourth IEEE International Conference on Data Mining, ICDM 2004 , .
  • Park, L. and Ramamohanarao, K. (2004), 'Preliminary work on pre-query term expansion using latent semantic analysis', In The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining Workshop, .
  • Park, L., Ramamohanarao, K. and Palaniswami, M. (2002), 'A new implementation technique for fast spectral based document retrieval systems', The second IEEE International Conference on Data Mining, .
  • Park, L., Palaniswami, M. and Ramamohanarao, K. (2002), 'A novel web text mining method using the discrete cosine transform', The 6th European Conference on Principles of Data Mining and Knowledge Discovery, number 2431 in Lecture Notes in Artificial Intelligence, .

Research

Previous Projects

Title: Classification of disease from retinal features using Multi- Label Feedback
Years:2010-11-02 - 2012-04-30
ID:P00019252
UWS Researchers:Laurence Park
Funding:
  • University of Western Sydney

Supervision

Doctor Park is available to be a principal supervisor for doctoral projects

Current Supervision

Title:Information Retrieval and Outlier Detection for High Dimensional Data Sets
Field of Research:

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