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Location-aware Frequent Pattern Mining from Uncertain Spatial Transaction Data

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

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

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Simon Fraser University (Simon Frasier University)

Start year: 2014

Summary: Traditional transaction data mining exploits transactions without location information. Technological advances like GPS-enabled devices or radar sensors now allow the collection of transactions with spatial information. This project will address inherent data uncertainty by developing technical solutions to mine uncertain spatial transactions, and initiate a new research direction, location-aware frequent pattern mining. It will deliver theoretical foundations and technology for knowledge discovery from uncertain spatial transaction data and expand KDD research horizons. Outcomes will provide social and economic benefits, eg. significantly improved: analysis and detection of crime; weather diagnosis; and market basket analysis for business.

Publications:

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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Pan, S, Hu, R, Long, G, Jiang, J, Yao, L & Zhang, C 2018, 'Adversarially Regularized Graph Autoencoder for Graph Embedding.', IJCAI 2018, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Stockholm. Sweden, pp. 2609-2615.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2018, 'MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding', Advances in Knowledge Discovery and Data Mining, Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Springer, Melbourne, VIC, Australia, pp. 196-208.
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Chen, Q, Wang, Y, Chen, B, Zhang, C, Wang, L & Li, J 2017, 'Using propensity scores to predict the kinases of unannotated phosphopeptides', KNOWLEDGE-BASED SYSTEMS, vol. 135, pp. 60-76.
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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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Wang, H, Zhang, P, Zhu, X, Tsang, IWH, Chen, L, Zhang, C & Wu, X 2017, 'Incremental Subgraph Feature Selection for Graph Classification', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 1, pp. 128-142.
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Wang, W, Yin, H, Chen, L, Sun, Y, Sadiq, S & Zhou, X 2017, 'ST-SAGE: A spatial-Temporal sparse additive generative model for spatial item recommendation', ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 3.
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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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Liu, B, Chen, L, Zhu, X, Zhang, Y & Zhang, C 2017, 'Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data', 20th International Conference on Extending Database Technology (EDBT), International Conference on Extending Database Technology, Open Proceedings, Venice, Italy.
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Lu, W-X, Zhou, C & Wu, J 2016, 'Big social network influence maximization via recursively estimating influence spread', KNOWLEDGE-BASED SYSTEMS, vol. 113, pp. 143-154.
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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, 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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Han, B, Tsang, IW & Chen, L 2016, 'On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent', Machine Learning and Knowledge Discovery in Databases - LNCS, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Springer, Riva del Garda, Italy.
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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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Liu, B, Chen, L, Liu, C, Zhang, C & Qiu, W 2016, 'Mining co-locations from continuously distributed uncertain spatial data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics):Web Technologies and Applications 18th Asia-Pacific Web Conference, APWeb 2016, Web Technologies and Applications : Asia-Pacific Web Conference (APWeb), Springer, Suzhou, China, pp. 66-78.
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Liu, C & Chen, L 2016, 'Summarizing Uncertain Transaction Databases by Probabilistic Tiles', Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN), IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, pp. 4375-4382.
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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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Pang, G, Cao, L & Chen, L 2016, 'Outlier detection in complex categorical data by modelling the feature value couplings', Proceedings of the 25th International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), AAAI Press, New York.
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Pang, G, Cao, L, Chen, L & Liu, H 2016, 'Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Barcelona.
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Song, K, Chen, L, Gao, W, Feng, S, Wang, D & Zhang, C 2016, 'PerSentiment: A Personalized Sentiment Classi cation System for Microblog Users', International World Wide Web Conference (WWW), Montreal.

Song, K, Gao, W, Chen, L, Feng, S, Wang, D & Zhang, C 2016, 'Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization', ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Pisa, Italy.

Wang, W, Yin, H, Sadiq, S, Chen, L, Xie, M & Zhou, X 2016, 'SPORE: A Sequential Personalized Spatial Item Recommender System', Proceedings of the 2016 IEEE 32nd International Conference on Data Engineering (ICDE), IEEE International Conference on Data Engineering, IEEE, Helsinki, pp. 954-965.
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Wu, W, Li, B, Chen, L & Zhang, C 2016, 'Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash', Proceedings of the 2016 IEEE 16th International Conference on Data Mining, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 1287-1292.
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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, 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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Wu, J, Wu, B, Pan, S, Wang, H & Cai, Z 2015, 'Locally Weighted Learning: How and When Does it Work in Bayesian Networks?', INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, vol. 8, pp. 63-74.
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Yin, H, Cui, B, Chen, L, Hu, Z & Zhang, C 2015, 'Modeling Location-Based User Rating Profiles for Personalized Recommendation', ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, vol. 9, no. 3.
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Yin, H, Cui, B, Chen, L, Hu, Z & Zhou, X 2015, 'Dynamic User Modeling in Social Media Systems', ACM TRANSACTIONS ON INFORMATION SYSTEMS, vol. 33, no. 3.
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Cao, L, Zhang, C, Joachims, T, Webb, G, Margineantu, D, Williams, G, Parekh, R, Fayyad, U, Eliassi-Rad, T, F├╝rnkranz, J, Pei, J, Zhou, ZH, Bekkerman, R & Tang, J 2015, 'Foreword', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. iii-iv.

Liu, B, Chen, L, Liu, C, Zhang, C & Qiu, W 2015, 'RCP Mining: Towards the Summarization of Spatial Co-location Patterns', Advances in Spatial and Temporal Databases (LNCS), International Symposium on Advances in Spatial and Temporal Databases, Springer, Hong Kong, China, pp. 451-469.
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Song, K, Feng, S, Gao, W, Wang, D, Chen, L & Zhang, C 2015, 'Building 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, ACM Conference on HyperText and Social Media, ACM, Guzelyurt, Northern Cyprus, pp. 283-292.
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Wang, W, Yin, H, Chen, L, Sun, Y, Sadiq, S & Zhou, X 2015, 'GEO-SAGE: A geographical sparse additive generative model for spatial item recommendation', KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM International Conference on Knowledge Discovery and Data Mining, ACM, Sydney, NSW, Australia, pp. 1255-1264.
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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

FOR Codes: Pattern Recognition and Data Mining, Application Tools and System Utilities, Information Systems Development Methodologies, Expanding Knowledge in the Information and Computing Sciences