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Article
MoveMine: Mining moving object data for discovery of animal movement patterns
Li, Z., Han, J., Ji, M., Tang, L. A., Yu, Y., Ding, B., Lee, J. G. & Kays, R., Jul 1 2011, In: ACM Transactions on Intelligent Systems and Technology. 2, 4, 37.Research output: Contribution to journal › Article › peer-review
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MoveMine 2.0: Mining object relationships from movement data
Wu, F., Lei, T. K. H., Li, Z. & Han, J., 2014, In: Proceedings of the VLDB Endowment. 7, 13, p. 1613-1616 4 p.Research output: Contribution to journal › Article › peer-review
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Multidimensional data mining of traffic anomalies on large-scale road networks
Gonzalez, H., Han, J., Ouyang, Y. & Seith, S., Dec 1 2011, In: Transportation Research Record. 2215, p. 75-84 10 p.Research output: Contribution to journal › Article › peer-review
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Multidimensional sensor data analysis in cyber-physical system: An atypical cube approach
Tang, L. A., Yu, X., Kim, S., Han, J., Peng, W. C., Sun, Y., Leung, A. & La Porta, T., 2012, In: International Journal of Distributed Sensor Networks. 2012, 724846.Research output: Contribution to journal › Article › peer-review
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On exploiting transient social contact patterns for data forwarding in delay-tolerant networks
Gao, W., Cao, G., La Porta, T. & Han, J., Jan 1 2013, In: IEEE Transactions on Mobile Computing. 12, 1, p. 151-165 15 p., 6086545.Research output: Contribution to journal › Article › peer-review
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On Link-based similarity join
Sun, L., Cheng, R., Li, X., Cheung, D. W. & Han, J., Aug 2011, In: Proceedings of the VLDB Endowment. 4, 11, p. 714-725 12 p.Research output: Contribution to journal › Article › peer-review
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Parallel field ranking
Ji, M., Lin, B., He, X., Cai, D. & Han, J., Sep 1 2013, In: ACM Transactions on Knowledge Discovery from Data. 7, 3, 15.Research output: Contribution to journal › Article › peer-review
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PathSelClus: Integrating meta-path selection with user-guided Object clustering in heterogeneous information networks
Sun, Y., Norick, B., Han, J., Yan, X., Yu, P. S. & Yu, X., Sep 1 2013, In: ACM Transactions on Knowledge Discovery from Data. 7, 3, 11.Research output: Contribution to journal › Article › peer-review
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Pathsim: Meta path-based top-k similarity search in heterogeneous information networks
Sun, Y., Han, J., Yan, X., Yu, P. S. & Wu, T., Aug 2011, In: Proceedings of the VLDB Endowment. 4, 11, p. 992-1003 12 p.Research output: Contribution to journal › Article › peer-review
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Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease
Liem, D. A., Murali, S., Sigdel, D., Shi, Y., Wang, X., Shen, J., Choi, H., Caufield, J. H., Wang, W., Ping, P. & Han, J., Oct 2018, In: American Journal of Physiology - Heart and Circulatory Physiology. 315, 4, p. H910-H924Research output: Contribution to journal › Article › peer-review
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Power-based diagnosis of node silence in remote high-end sensing systems
Yang, Y., Su, L., Khan, M., LeMay, M., Abdelzaher, T. & Han, J., Dec 2014, In: ACM Transactions on Sensor Networks. 11, 2, 33.Research output: Contribution to journal › Article › peer-review
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Predicting future popularity trend of events in microblogging platforms
Gupta, M., Gao, J., Zhai, C. X. & Han, J., 2012, In: Proceedings of the ASIST Annual Meeting. 49, 1Research output: Contribution to journal › Article › peer-review
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RankCompete: Simultaneous ranking and clustering of information networks
Cao, L., Jin, X., Yin, Z., Del Pozo, A., Luo, J., Han, J. & Huang, T. S., Oct 15 2012, In: Neurocomputing. 95, p. 98-104 7 p.Research output: Contribution to journal › Article › peer-review
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Reinforced similarity integration in image-rich information networks
Jin, X., Luo, J., Yu, J., Wang, G., Joshi, D. & Han, J., 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 2, p. 448-460 13 p., 6081863.Research output: Contribution to journal › Article › peer-review
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Relation strength-aware clustering of heterogeneous information networks with incomplete attributes
Sun, Y., Aggarwal, C. C. & Han, J., Jan 2012, In: Proceedings of the VLDB Endowment. 5, 5, p. 394-405 12 p.Research output: Contribution to journal › Article › peer-review
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Revealing density-based clustering structure from the core-connected tree of a network
Huang, J., Sun, H., Song, Q., Deng, H. & Han, J., Aug 1 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 8, p. 1876-1889 14 p., 6200274.Research output: Contribution to journal › Article › peer-review
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SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks
Shen, W., Han, J., Wang, J., Yuan, X. & Yang, Z., Feb 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 2, p. 353-366 14 p., 7990163.Research output: Contribution to journal › Article › peer-review
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Socialspamguard: A data miningbased spam detection system for social media networks
Jin, X., Lin, C. X., Luo, J. & Han, J., Aug 2011, In: Proceedings of the VLDB Endowment. 4, 12, p. 1458-1461 4 p.Research output: Contribution to journal › Article › peer-review
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Speed up kernel discriminant analysis
Cai, D., He, X. & Han, J., 2011, In: VLDB Journal. 20, 1, p. 21-33 13 p.Research output: Contribution to journal › Article › peer-review
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Splitter: Mining finegrained sequential patterns in semantic trajectories
Zhang, C., Han, J., Shou, L., Lu, J. & Porta, T. L., 2014, In: Proceedings of the VLDB Endowment. 7, 9, p. 769-780 12 p.Research output: Contribution to journal › Article › peer-review
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The environmental-data automated track annotation (Env-DATA) system: Linking animal tracks with environmental data
Dodge, S., Bohrer, G., Weinzierl, R., Davidson, S. C., Kays, R., Douglas, D., Cruz, S., Han, J., Brandes, D. & Wikelski, M., Jul 3 2013, In: Movement Ecology. 1, 1, 3.Research output: Contribution to journal › Article › peer-review
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The parallel path framework for entity discovery on the Web
Weninger, T., Johnston, T. J. & Han, J., Oct 21 2013, In: ACM Transactions on the Web. 7, 3, 16.Research output: Contribution to journal › Article › peer-review
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Towards quality aware information integration in distributed sensing systems
Jiang, W., Miao, C., Su, L., Li, Q., Hu, S., Wang, S., Gao, J., Liu, H., Abdelzaher, T. F., Han, J., Liu, X., Gao, Y. & Kaplan, L., Jan 2018, In: IEEE Transactions on Parallel and Distributed Systems. 29, 1, p. 198-211 14 p.Research output: Contribution to journal › Article › peer-review
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Troubleshooting interactive complexity bugs in wireless sensor networks using data mining techniques
Khan, M. M. H., Khac Le, H., Ahmadi, H., Abdelzaher, T. F. & Han, J., Jan 2014, In: ACM Transactions on Sensor Networks. 10, 2, 2530290.Research output: Contribution to journal › Article › peer-review
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Trustworthiness analysis of sensor data in cyber-physical systems
Tang, L. A., Yu, X., Kim, S., Gu, Q., Han, J., Leung, A. & La Porta, T., May 2013, In: Journal of Computer and System Sciences. 79, 3, p. 383-401 19 p.Research output: Contribution to journal › Article › peer-review
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Uncertainty reduction for knowledge discovery and information extraction on the world wide web
Ji, H., Deng, H. & Han, J., 2012, In: Proceedings of the IEEE. 100, 9, p. 2658-2674 17 p., 6212297.Research output: Contribution to journal › Article › peer-review
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Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks
Wang, C., Song, Y., Li, H., Zhang, M. & Han, J., Nov 1 2018, In: Data Mining and Knowledge Discovery. 32, 6, p. 1735-1767 33 p.Research output: Contribution to journal › Article › peer-review
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Book
Data Mining: Concepts and Techniques
Han, J., Kamber, M. & Pei, J., Jan 1 2012, Elsevier Inc.Research output: Book/Report/Conference proceeding › Book
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Frequent pattern mining
Aggarwal, C. C. & Han, J., Jul 1 2014, Springer International Publishing. 471 p.Research output: Book/Report/Conference proceeding › Book
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Mining software specifications: Methodologies and applications
Lo, D., Khoo, S. C., Han, J. & Liu, C., Jan 1 2011, CRC Press. 433 p.Research output: Book/Report/Conference proceeding › Book
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Chapter
Active learning: A survey
Aggarwal, C. C., Kong, X., Gu, Q., Han, J. & Yu, P. S., Jan 1 2014, Data Classification: Algorithms and Applications. CRC Press, p. 571-605 35 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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A multi-graph spectral framework for mining multi-source anomalies
Gao, J., Du, N., Fan, W., Turaga, D., Parthasarathy, S. & Han, J., Jan 1 2013, Graph Embedding for Pattern Analysis. Springer New York, p. 205-227 23 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Applications of pattern discovery using sequential data mining
Gupta, M. & Han, J., 2011, Pattern Discovery Using Sequence Data Mining: Applications and Studies. IGI Global, p. 1-23 23 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Approaches for pattern discovery using sequential data mining
Gupta, M. & Han, J., 2011, Pattern Discovery Using Sequence Data Mining: Applications and Studies. IGI Global, p. 137-154 18 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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A survey of datamining methods for sensor network bug diagnosis
Abdelzaher, T. & Han, J., Jul 1 2013, Managing and Mining Sensor Data. Springer US, Vol. 9781461463092. p. 429-458 30 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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A survey of RFID data processing
Aggarwal, C. C. & Han, J., Jul 1 2013, Managing and Mining Sensor Data. Springer US, Vol. 9781461463092. p. 349-382 34 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Mining graph patterns
Cheng, H., Yan, X. & Han, J., Jul 1 2014, Frequent Pattern Mining. Springer International Publishing, Vol. 9783319078212. p. 307-338 32 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Pattern-growth methods
Han, J. & Pei, J., Jul 1 2014, Frequent Pattern Mining. Springer International Publishing, Vol. 9783319078212. p. 65-81 17 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Probabilistic models for classification
Deng, H., Sun, Y., Chang, Y. & Han, J., Jan 1 2014, Data Classification: Algorithms and Applications. CRC Press, p. 65-86 22 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Probabilistic models for text mining
Sun, Y., Deng, H. & Han, J., Aug 1 2012, Mining Text Data. Springer US, Vol. 9781461432234. p. 259-295 37 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Sequential pattern mining
Shen, W., Wang, J. & Han, J., Jul 1 2014, Frequent Pattern Mining. Springer International Publishing, Vol. 9783319078212. p. 261-282 22 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Specification mining: A concise introduction
Lo, D., Khoo, S. C., Liu, C. & Han, J., Jan 1 2011, Mining Software Specifications: Methodologies and Applications. CRC Press, p. 1-27 27 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Truth discovery and crowdsourcing aggregation: A unified perspective
Gao, J., Li, Q., Zhao, B., Fan, W. & Han, J., Jan 1 2015, Proceedings of the VLDB Endowment. 12 ed. Association for Computing Machinery, p. 2048-2049 2 p. (Proceedings of the VLDB Endowment; vol. 8, no. 12).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Conference article
A confidence-aware approach for truth discovery on long-tail data
Li, Q., Li, Y., Gao, J., Su, L., Zhao, B., Demirbas, M., Fan, W. & Han, J., Dec 2014, In: Proceedings of the VLDB Endowment. 8, 4, p. 425-436 12 p.Research output: Contribution to journal › Conference article › peer-review
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A feature-enhanced ranking-based classifier for multimodal data and heterogeneous information networks
Chen, S. D., Chen, Y. Y., Han, J. & Moulin, P., Dec 1 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 997-1002 6 p., 6729588.Research output: Contribution to journal › Conference article › peer-review
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Annotating gene sets by mining large literature collections with protein networks
Wang, S., Ma, J., Yu, M. K., Zheng, F., Huang, E. W., Han, J., Peng, J. & Ideker, T., 2018, In: Pacific Symposium on Biocomputing. 0, 212669, p. 602-613 12 p.Research output: Contribution to journal › Conference article › peer-review
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Clustered support vector machines
Gu, Q. & Han, J., Jan 1 2013, In: Journal of Machine Learning Research. 31, p. 307-315 9 p.Research output: Contribution to journal › Conference article › peer-review
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Constructing topical hierarchies in heterogeneous information networks
Wang, C., Danilevsky, M., Liu, J., Desai, N., Ji, H. & Han, J., 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 767-776 10 p., 6729561.Research output: Contribution to journal › Conference article › peer-review
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Locality preserving feature learning
Gu, Q., Danilevsky, M., Li, Z. & Han, J., Jan 1 2012, In: Journal of Machine Learning Research. 22, p. 477-485 9 p.Research output: Contribution to journal › Conference article › peer-review
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Mining knowledge from data: An information network analysis approach
Han, J., Sun, Y., Yan, X. & Yu, P. S., Jul 30 2012, In: Proceedings - International Conference on Data Engineering. p. 1214-1217 4 p., 6228171.Research output: Contribution to journal › Conference article › peer-review