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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:

Zhang, Q, Wu, J, Zhang, P, Long, G & Zhang, C 2019, 'Salient Subsequence Learning for Time Series Clustering', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, pp. 2193-2207.
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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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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 1970, 'Adversarially Regularized Graph Autoencoder for Graph Embedding', IJCAI International Joint Conference on Artificial Intelligence, 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 1970, 'MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Springer International Publishing, 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, IW-H, 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', ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 3, pp. 1-25.
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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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Wu, J, Pan, S, Zhu, X, Zhang, C & Yu, PS 2017, 'Multiple Structure-View Learning for Graph Classification', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 1-16.
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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, pp. 1-1.
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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 & Qiu, W 1970, 'Protecting location privacy in spatial crowdsourcing using encrypted data', Advances in Database Technology - EDBT, International Conference on Extending Database Technology, Open Proceedings, Venice, Italy, pp. 478-481.
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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 1970, 'On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Springer International Publishing, Riva del Garda, Italy, pp. 665-680.
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Liu, B, Chen, L, Liu, C, Zhang, C & Qiu, W 1970, '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 : Asia-Pacific Web Conference (APWeb), Springer International Publishing, Suzhou, China, pp. 66-78.
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Liu, C & Chen, L 1970, 'Summarizing uncertain transaction databases by Probabilistic Tiles', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, pp. 4375-4382.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Wang, Y 1970, '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.

Pang, G, Cao, L & Chen, L 1970, 'Outlier detection in complex categorical data by modelling the feature value couplings', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), AAAI Press, New York, pp. 1902-1908.

Pang, G, Cao, L, Chen, L & Liu, H 1970, 'Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings', 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, Barcelona, pp. 410-419.
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Ruiqi Hu, Pan, S, Guodong Long, Xingquan Zhu, Jing Jiang & Chengqi Zhang 1970, 'Co-clustering enterprise social networks', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, IEEE, pp. 107-114.
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Song, K, Chen, L, Gao, W, Feng, S, Wang, D & Zhang, C 1970, 'PerSentiment', Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, the 25th International Conference Companion, ACM Press, Montreal, pp. 255-258.
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Song, K, Gao, W, Chen, L, Feng, S, Wang, D & Zhang, C 1970, 'Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization', Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval, ACM, Pisa, Italy.
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Wang, W, Yin, H, Sadiq, S, Chen, L, Xie, M & Zhou, X 1970, 'SPORE: A sequential personalized spatial item recommender system', 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2016 IEEE 32nd International Conference on Data Engineering (ICDE), IEEE, Helsinki, pp. 954-965.
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Wu, W, Li, B, Chen, L & Zhang, C 1970, 'Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash', 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, Barcelona, Spain, pp. 1287-1292.
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Wu, W, Li, B, Chen, L & Zhang, C 1970, '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 International Publishing, Auckland, New Zealand, pp. 203-214.
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Zhang, Q, Wu, J, Yang, H, Lu, W, Long, G & Zhang, C 1970, 'Global and Local Influence-based Social Recommendation', Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM'16: ACM Conference on Information and Knowledge Management, ACM, Indianapolis, USA, pp. 1917-1920.
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Zhang, Q, Zhang, Q, Long, G, Zhang, P & Zhang, C 1970, 'Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior', 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 International Publishing, 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, pp. 1-41.
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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, pp. 1-44.
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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 1970, '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 1970, 'RCP Mining: Towards the Summarization of Spatial Co-location Patterns', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Symposium on Advances in Spatial and Temporal Databases, Springer International Publishing, Hong Kong, China, pp. 451-469.
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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, W, Yin, H, Chen, L, Sun, Y, Sadiq, S & Zhou, X 1970, 'Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation', Proceedings of the 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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Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 1970, 'Towards Mining Trapezoidal Data Streams', 2015 IEEE International Conference on Data Mining, 2015 IEEE International Conference on Data Mining (ICDM), IEEE, Atlantic City, New Jersey, United States, pp. 1111-1116.
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Wu, J, Hong, Z, Pan, S, Zhu, X, Cai, Z & Zhang, C 1970, 'Multi-graph-view Learning for Graph Classification', 2014 IEEE International Conference on Data Mining, 2014 IEEE International Conference on Data Mining (ICDM), IEEE, 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, Information systems development methodologies and practice, Data mining and knowledge discovery, Information systems, technologies and services not elsewhere classified