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Enabling User-Centric Wisdom Engines for Big Information Network Search

Funding: 2014: $132,000
2015: $120,000
2016: $130,000

Project Member(s): Zhang, C.

Funding or Partner Organisation: Arizona State University
Australian Research Council (ARC Discovery Projects)

Start year: 2014

Summary: Big information networks, e.g. social networks, are important for modern information systems, yet searching for useful information from huge networks is difficult because network structure and user relationships continuously evolve. This project will provide theoretical foundations for structural knowledge mining to enable user-centric wisdom search on big information networks. Expected outcomes are: real-world application platform to support information network analysis; theories for big network control, algorithms, and systematic solutions to enable user-centric knowledge search, including a new search engine for big information networks. By significantly improving IT, it will benefit Australian business, industry and the wider community.

Publications:

Wu, J, Pan, S, Zhou, C, Li, G, He, W & Zhang, C 2018, 'Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications', COMPLEXITY.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Wu, X 2018, 'Multi-instance learning with discriminative bag mapping', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 6, pp. 1065-1080.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Yu, PS 2018, 'Multiple Structure-View Learning for Graph Classification', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 3236-3251.
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Zhang, Q, Wu, J, Zhang, Q, Zhang, P, Long, G & Zhang, C 2018, 'Dual influence embedded social recommendation', World Wide Web, vol. 21, no. 4, pp. 849-874.
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Guo, T, Wu, J, Zhu, X & Zhang, C 2017, 'Combining structured node content and topology information for networked graph clustering', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 3.
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Pan, S, Wu, J, Zhu, X, Long, G & Zhang, C 2017, 'Boosting for graph classification with universum', Knowledge and Information Systems, vol. 50, no. 1, pp. 53-77.
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Pan, S, Wu, J, Zhu, X, Long, G & Zhang, C 2017, 'Task Sensitive Feature Exploration and Learning for Multitask Graph Classification', IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 744-758.
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Wang, H, Wu, J, Pan, S, Zhang, P & Chen, L 2017, 'Towards large-scale social networks with online diffusion provenance detection', Computer Networks, vol. 114, pp. 154-166.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Wu, X 2017, 'Positive and Unlabeled Multi-Graph Learning', IEEE Transactions on Cybernetics, vol. 47, no. 4, pp. 818-829.
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Zhang, Q, Wu, J, ZHANG, P, Long, G & Zhang, C 2017, 'Collective Hyping Detection System for Identifying Online Spam Activities', IEEE Intelligent Systems, vol. 32, no. 5.
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Zhang, Y, Wu, J, Zhou, C & Cai, Z 2017, 'Instance cloned extreme learning machine', Pattern Recognition, vol. 68, pp. 52-65.
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Wu, J, Hong, Z, Pan, S, Zhu, X, Cai, Z & Zhang, C 2016, 'Multi-graph-view subgraph mining for graph classification', Knowledge and Information Systems, vol. 48, no. 1, pp. 29-54.
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Wu, J, Pan, S, Zhu, X, Zhang, P & Zhang, C 2016, 'SODE: Self-Adaptive One-Dependence Estimators for classification', Pattern Recognition, vol. 51, pp. 358-377.
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Zhang, P, He, J, Long, G, Huang, G & Zhang, C 2016, 'Towards anomalous diffusion sources detection in a large network', ACM Transactions on Internet Technology, vol. 16, no. 1.
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Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 2016, 'Online learning from trapezoidal data streams', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 10, pp. 2709-2723.
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Hu, R, Pan, S, Long, G, Zhu, X, Jiang, J & Zhang, C 2016, 'Co-clustering enterprise social networks', 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 107-114.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Wang, Y 2016, 'Tri-party deep network representation', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1895-1901.
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Wu, W, Li, B, Chen, L & Zhang, C 2016, 'Cross-view feature hashing for image retrieval', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Auckland, New Zealand, pp. 203-214.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2016, 'Homophily, Structure, and Content Augmented Network Representation Learning', Proceedings of the IEEE 16th International Conference on Data Mining, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 609-618.
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Zhang, Q, Wu, J, Yang, H, Lu, W, Long, G & Zhang, C 2016, 'Global and local influence-based social recommendation', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, USA, pp. 1917-1920.
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Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 2015, 'Towards mining trapezoidal data streams', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, New Jersey, United States, pp. 1111-1116.
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Zhang, Q, Zhang, Q, Long, G, Zhang, P & Zhang, C 2016, 'Exploring heterogeneous product networks for discovering collective marketing hyping behavior', Advances in Knowledge Discovery and Data Mining - LNCS, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Auckland, New Zealand, pp. 40-51.
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Li, B, Zhu, X, Li, R & Zhang, C 2015, 'Rating Knowledge Sharing in Cross-Domain Collaborative Filtering', IEEE TRANSACTIONS ON CYBERNETICS, vol. 45, no. 5, pp. 1054-1068.
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Pan, S, Wu, J, Zhu, X, Long, G & Zhang, C 2015, 'Finding the best not the most: regularized loss minimization subgraph selection for graph classification', PATTERN RECOGNITION, vol. 48, no. 11, pp. 3783-3796.
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Wang, H, Zhang, P, Chen, L & Zhang, C 2015, 'Socialanalysis: A Real-Time query and mining system from social media data streams', Databases Theory and Applications (LNCS), Australasian Database Conference, Springer, Melbourne, Australia, pp. 318-322.
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Wang, H, Zhang, P, Chen, L, Liu, H & Zhang, C 2015, 'Online Diffusion Source Detection in Social Networks', Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN), IEEE International Joint Conference on Neural Networks, IEEE, Killarney, Ireland, pp. 1-8.
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Wang, H, Zhang, P, Tsang, I, Chen, L & Zhang, C 2015, 'Defragging Subgraph Features for Graph Classification', Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Melbourne, VIC, Australia, pp. 1687-1690.
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Wu, J, Pan, S, Zhu, X, Cai, Z & Zhang, C 2015, 'Multi-graph-view learning for complicated object classification', IJCAI'15 Proceedings of the 24th International Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press, Buenos Aires, pp. 3953-3959.
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Keywords: Data mining,Social network analysis,Big information network search

FOR Codes: Pattern Recognition and Data Mining, Application Software Packages (excl. Computer Games), Database Management, Information Processing Services (incl. Data Entry and Capture), Information Systems Development Methodologies, Application Tools and System Utilities