Deep Pattern Mining for National Health System's Response to Patient Demand

Project Member(s): Zhang, C., Chen, L.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Commonwealth Department of Health and Aged Care (Commonwealth Department of Health and Aged Care: C)

Start year: 2015

Summary: This project aims to build a pricing framework, based on deep pattern mining, to enable dynamic real-time pricing for large enterprises. It will advance existing business intelligence pricing models from policy driven to achieve deep pattern driven real-time pricing. The deep pattern mining addresses critical and under-developed knowledge discovery and data mining issues. Detailed research topics include a probabilistic data model, an extracted deep feature representation, a deep pattern mining algorithm, and a prototype system for pricing determination. The project outcomes will empower enterprises with real-time dynamic pricing capability, as well as building theoretical foundations to strengthen world leadership by Australia businesses.

Publications:

Mei, T, Li, L, Tian, X, Tao, D & Ngo, C-W 2018, 'PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 254-266.
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Gong, C, Tao, D, Maybank, SJ, Liu, W, Kang, G & Yang, J 2016, 'Multi-Modal Curriculum Learning for Semi-Supervised Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 7, pp. 3249-3260.
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Gui, J, Liu, T, Tao, D, Sun, Z & Tan, T 2016, 'Representative Vector Machines: A Unified Framework for Classical Classifiers', IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1877-1888.
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Li, Z, Gong, D, Li, Q, Tao, D & Li, X 2016, 'Mutual Component Analysis for Heterogeneous Face Recognition.', ACM Trans. Intell. Syst. Technol., vol. 7, no. 3, pp. 28:1-28:1.
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Peng, C, Gao, X, Wang, N, Tao, D, Li, X & Li, J 2016, 'Multiple Representations-Based Face Sketch–Photo Synthesis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 11, pp. 2201-2215.
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Yang, X, Gao, X, Tao, D, Li, X, Han, B & Li, J 2016, 'Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection.', IEEE Trans. Neural Networks Learn. Syst., vol. 27, no. 1, pp. 32-46.
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Ding, C, Xu, C & Tao, D 2015, 'Multi-Task Pose-Invariant Face Recognition.', IEEE Trans. Image Process., vol. 24, no. 3, pp. 980-993.
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Gao, Y, Shi, M, Tao, D & Xu, C 2015, 'Database Saliency for Fast Image Retrieval.', IEEE Trans. Multim., vol. 17, no. 3, pp. 359-369.
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Gong, C, Liu, T, Tao, D, Fu, K, Tu, E & Yang, J 2015, 'Deformed Graph Laplacian for Semisupervised Learning', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 10, pp. 2261-2274.
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Gong, C, Tao, D, Fu, K & Yang, J 2015, 'Fick's Law Assisted Propagation for Semisupervised Learning', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 9, pp. 2148-2162.
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Hong, C, Yu, J, Tao, D & Wang, M 2015, 'Image-Based Three-Dimensional Human Pose Recovery by Multiview Locality-Sensitive Sparse Retrieval.', IEEE Trans. Ind. Electron., vol. 62, no. 6, pp. 3742-3751.
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Hong, C, Yu, J, Wan, J, Tao, D & Wang, M 2015, 'Multimodal Deep Autoencoder for Human Pose Recovery.', IEEE Trans. Image Process., vol. 24, no. 12, pp. 5659-5670.
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Hou, C, Nie, F, Yi, D & Tao, D 2015, 'Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data.', IEEE Trans. Neural Networks Learn. Syst., vol. 26, no. 6, pp. 1287-1299.
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Hou, W, Gao, X, Tao, D & Li, X 2015, 'Blind Image Quality Assessment via Deep Learning.', IEEE Trans. Neural Networks Learn. Syst., vol. 26, no. 6, pp. 1275-1286.
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Huang, Q, Wang, T, Tao, D & Li, X 2015, 'Biclustering Learning of Trading Rules.', IEEE Trans. Cybern., vol. 45, no. 5, pp. 2287-2298.
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Li, J, Lin, X, Rui, X, Rui, Y & Tao, D 2015, 'A Distributed Approach Toward Discriminative Distance Metric Learning.', IEEE Trans. Neural Networks Learn. Syst., vol. 26, no. 9, pp. 2111-2122.
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Li, X, He, H, Wang, R & Tao, D 2015, 'Single Image Superresolution via Directional Group Sparsity and Directional Features.', IEEE Trans. Image Process., vol. 24, no. 9, pp. 2874-2888.
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Li, Y, Tian, X, Song, M & Tao, D 2015, 'Multi-task proximal support vector machine.', Pattern Recognit., vol. 48, no. 10, pp. 3249-3257.
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Li, Z, Gong, D, Li, X & Tao, D 2015, 'Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition.', IEEE Trans. Image Process., vol. 24, no. 9, pp. 2736-2745.
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Liu, X, Song, M, Tao, D, Bu, J & Chen, C 2015, 'Random Geometric Prior Forest for Multiclass Object Segmentation.', IEEE Trans. Image Process., vol. 24, no. 10, pp. 3060-3070.
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Liu, X, Song, M, Tao, D, Liu, Z, Zhang, L, Chen, C & Bu, J 2015, 'Random Forest Construction With Robust Semisupervised Node Splitting.', IEEE Trans. Image Process., vol. 24, no. 1, pp. 471-483.
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Lu, Y, Xie, F, Liu, T, Jiang, Z & Tao, D 2015, 'No Reference Quality Assessment for Multiply-Distorted Images Based on an Improved Bag-of-Words Model.', IEEE Signal Process. Lett., vol. 22, no. 10, pp. 1811-1815.
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Luo, Y, Liu, T, Tao, D & Xu, C 2015, 'Multiview Matrix Completion for Multilabel Image Classification.', IEEE Trans. Image Process., vol. 24, no. 8, pp. 2355-2368.
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Miao, J, Xu, X, Qiu, S, Qing, C & Tao, D 2015, 'Temporal Variance Analysis for Action Recognition.', IEEE Trans. Image Process., vol. 24, no. 12, pp. 5904-5915.
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Qiao, M, Bian, W, Xu, RYD & Tao, D 2015, 'Diversified Hidden Markov Models for Sequential Labeling.', IEEE Trans. Knowl. Data Eng., vol. 27, no. 11, pp. 2947-2960.
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Song, D, Liu, W, Zhou, T, Tao, D & Meyer, DA 2015, 'Efficient Robust Conditional Random Fields.', IEEE Trans. Image Process., vol. 24, no. 10, pp. 3124-3136.
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Tian, X, Yang, L, Lu, Y, Tian, Q & Tao, D 2015, 'Image Search Reranking With Hierarchical Topic Awareness.', IEEE Trans. Cybern., vol. 45, no. 10, pp. 2177-2189.
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Wang, Y, Song, M, Tao, D, Rui, Y, Bu, J, Tsoi, AC, Zhuo, S & Tan, P 2015, 'Where2Stand: A Human Position Recommendation System for Souvenir Photography.', ACM Trans. Intell. Syst. Technol., vol. 7, no. 1, pp. 9:1-9:1.
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Xu, C, Tao, D & Xu, C 2015, 'Multi-View Learning With Incomplete Views.', IEEE Trans. Image Process., vol. 24, no. 12, pp. 5812-5825.
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Yang, X, Gao, X, Tao, D, Li, X & Li, J 2015, 'An Efficient MRF Embedded Level Set Method for Image Segmentation.', IEEE Trans. Image Process., vol. 24, no. 1, pp. 9-21.
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Zeng, X, Bian, W, Liu, W, Shen, J & Tao, D 2015, 'Dictionary Pair Learning on Grassmann Manifolds for Image Denoising.', IEEE Trans. Image Process., vol. 24, no. 11, pp. 4556-4569.
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Zhang, K, Tao, D, Gao, X, Li, X & Xiong, Z 2015, 'Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution.', IEEE Trans. Image Process., vol. 24, no. 3, pp. 846-861.
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Song, K, Feng, S, Gao, W, Wang, D, Chen, L & Zhang, C 1970, 'Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph', Proceedings of the 26th ACM Conference on Hypertext & Social Media - HT '15, the 26th ACM Conference, ACM Press, Guzelyurt, Northern Cyprus, pp. 283-292.
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Wang, H, Zhang, P, Tsang, I, Chen, L & Zhang, C 1970, 'Defragging Subgraph Features for Graph Classification', Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM'15: 24th ACM International Conference on Information and Knowledge Management, ACM, Melbourne, VIC, Australia, pp. 1687-1690.
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Li, X & Tao, D 2014, 'Video Face Editing Using Temporal-Spatial-Smooth Warping.', CoRR, vol. abs/1408.2380, no. 3.
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Liu, W, Li, Y, Lin, X, Tao, D & Wang, Y 2014, 'Hessian-Regularized Co-Training for Social Activity Recognition', PLoS ONE, vol. 9, no. 9, pp. e108474-e108474.
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Gao, F, Tao, D, Gao, X & Li, X 2013, 'Learning to Rank for Blind Image Quality Assessment', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 10, pp. 2275-2290.
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Keywords: deep pattern mining, pricing analysis, probabilistic graphical modeling

FOR Codes: Pattern Recognition and Data Mining, Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence), Application Software Packages (excl. Computer Games), Property, Business Support Services and Trade not elsewhere classified, Information Processing Services (incl. Data Entry and Capture), Business information management (incl. records, knowledge and intelligence), Data mining and knowledge discovery, Property, business support services and trade not elsewhere classified, Application software packages, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.