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• 2014

  Co-evolution of multi-typed objects in dynamic star networks

  Sun, Y., Tang, J., Han, J., Chen, C. & Gupta, M., Dec 1 2014, In: IEEE Transactions on Knowledge and Data Engineering. 26, 12, p. 2942-2955 14 p., 6945935.

  Research output: Contribution to journal › Article › peer-review

  • Stars
  • Heterogeneous networks
  • Data mining
  • Scalability
  • Machine learning

• Environmental drivers of variability in the movement ecology of turkey vultures (cathartes aura) in North and South America

  Dodge, S., Bohrer, G., Bildstein, K., Davidson, S. C., Weinzierl, R., Bechard, M. J., Barber, D., Kays, R., Brandes, D., Han, J. & Wikelski, M., May 26 2014, In: Philosophical Transactions of the Royal Society B: Biological Sciences. 369, 1643

  Research output: Contribution to journal › Article › peer-review

  • Cathartes aura
  • Turkeys
  • Ecology
  • South America
  • Ecosystem

• Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks

  Deng, H., Han, J., Li, H., Ji, H., Wang, H. & Lu, Y., Aug 2014, In: Statistical Analysis and Data Mining. 7, 4, p. 308-321 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Sentiment Analysis
  • Heterogeneous Networks
  • Sentiment analysis
  • Heterogeneous networks
  • Dissimilarity

• Frequent pattern mining

  Aggarwal, C. C. & Han, J., Jul 1 2014, Springer International Publishing. 471 p.

  Research output: Book/Report/Conference proceeding › Book

  • Students
  • Computer science
  • Big data
  • Industry

• Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts

  Ren, X., Wang, Y., Yu, X., Yan, J., Chen, Z. & Han, J., 2014, WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 23-32 10 p. (WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Websites
  • Learning algorithms
  • Industry
  • Experiments

• Learning to efficiently rank on big data

  Wang, L., Lin, J., Metzler, D. & Han, J., Apr 7 2014, WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 1 p. (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Leveraging periodicity in human mobility for next place prediction

  Prabhala, B., Wang, J., Deb, B., La Porta, T. & Han, J., Nov 10 2014, IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., p. 2665-2670 6 p. 6952829. (IEEE Wireless Communications and Networking Conference, WCNC).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Set theory

• Local learning for mining outlier subgraphs from network datasets

  Gupta, M., Mallya, A., Roy, S., Cho, J. H. D. & Han, J., Jan 1 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Zaki, M. J., Banerjee, A., Parthasarathy, S., Ning-Tan, P., Obradovic, Z. & Kamath, C. (eds.). Society for Industrial and Applied Mathematics Publications, p. 73-81 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining

• 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

  • Bioinformatics
  • Electric network analysis
  • Computer vision

• Mining latent entity structures from massive unstructured and interconnected data

  Han, J. & Wang, C., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1409-1410 2 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information retrieval
  • Explosions
  • Big data
  • Information management
  • Websites

• Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks

  Zhuang, H., Zhang, J., Brova, G., Tang, J., Cam, H., Yan, X. & Han, J., Jan 1 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. Institute of Electrical and Electronics Engineers Inc., p. 1127-1132 6 p. 7023458. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous networks
  • Anomaly detection
  • Tuning
  • Semantics
  • Experiments

• Mining sensor data in cyber-physical systems

  Tang, L. A., Han, J. & Jiang, G., Jun 2014, In: Tsinghua Science and Technology. 19, 3, p. 225-234 10 p., 6838193.

  Research output: Contribution to journal › Article › peer-review

  • Cyber Physical System
  • Sensors
  • Data mining
  • Traffic control
  • Information management

• 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

  • Animals
  • User interfaces
  • Tuning

• NewsNetExplorer: Automatic construction and exploration of news information networks

  Tao, F., Brova, G., Han, J., Ji, H., Wang, C., Norick, B., El-Kishky, A., Liu, J., Ren, X. & Sun, Y., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1091-1094 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Large dataset
  • Electric network analysis
  • Information retrieval
  • Information technology
  • Data mining

• On building entity recommender systems using user click log and freebase knowledge

  Yu, X., Ma, H., Hsu, B. J. & Han, J., 2014, WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 263-272 10 p. (WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Recommender systems
  • Search engines
  • Industry

• Online Spectral Learning on a Graph with Bandit Feedback

  Gu, Q. & Han, J., Jan 1 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. Institute of Electrical and Electronics Engineers Inc., p. 833-838 6 p. 7023409. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels
  • Feedback
  • Learning algorithms
  • Eigenvalues and eigenfunctions
  • Experiments

• Outlier Detection for Temporal Data: A Survey

  Gupta, M., Gao, J., Aggarwal, C. C. & Han, J., Sep 1 2014, In: IEEE Transactions on Knowledge and Data Engineering. 26, 9, p. 2250-2267 18 p., 6684530.

  Research output: Contribution to journal › Review article › peer-review

  • Anomaly detection
  • Time series
  • Computer hardware
  • Computer science
  • Information management

• 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

  • Pattern recognition
  • Data mining
  • Data structures
  • Data storage equipment

• Personalized entity recommendation: A heterogeneous information network approach

  Yu, X., Ren, X., Sun, Y., Gu, Q., Sturt, B., Khandelwal, U., Norick, B. & Han, J., 2014, WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 283-292 10 p. (WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feedback

• 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

  • Sensor networks
  • Health
  • Electric power utilization
  • Radio systems
  • Sensor nodes

• Privacy risk in anonymized heterogeneous information networks

  Zhang, A., Gunter, C. A., Xie, X., Han, J., Chang, K. C. C. & Wang, X., 2014, Advances in Database Technology - EDBT 2014: 17th International Conference on Extending Database Technology, Proceedings. Leroy, V., Christophides, V., Christophides, V., Idreos, S., Kementsietsidis, A., Garofalakis, M. & Amer-Yahia, S. (eds.). OpenProceedings.org, University of Konstanz, University Library, p. 595-606 12 p. (Advances in Database Technology - EDBT 2014: 17th International Conference on Extending Database Technology, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Industry

• 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

  • Probabilistic Model
  • Statistical Models
  • Labels
  • Electronic mail
  • Supervised learning

• Regularized ℓ¹-Graph for data clustering

  Yang, Y., Wang, Z., Yang, J., Han, J. & Huang, T. S., Jan 1 2014.

  Research output: Contribution to conference › Paper › peer-review

  • Set theory

• Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation

  Li, Q., Li, Y., Gao, J., Zhao, B., Fan, W. & Han, J., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1187-1198 12 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data structures
  • Experiments

• Robust tensor decomposition with gross corruption

  Gu, Q., Gui, H. & Han, J., Jan 1 2014, In: Advances in Neural Information Processing Systems. 2, January, p. 1422-1430 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Tensors
  • Decomposition
  • Error analysis
  • Experiments

• Scalable moment-based inference for latent Dirichlet allocation

  Wang, C., Liu, X., Song, Y. & Han, J., 2014, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Proceedings. PART 3 ed. Springer-Verlag Berlin Heidelberg, p. 290-305 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8726 LNAI, no. PART 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tensors
  • Dirichlet
  • Moment
  • Text processing
  • Maximum likelihood

• Scalable topical phrase mining from text corpora

  ElKishky, A., Song, Y., Wangx, C., Voss, C. R. & Han, J., Nov 2014, In: Proceedings of the VLDB Endowment. 8, 3, p. 305-316 12 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Scalability
  • Costs

• 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

  • Data mining

• 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

  • Trajectories
  • Semantics
  • Urban planning
  • Marketing
  • Experiments

• The wisdom of minority: Unsupervised slot filling validation based on multi-dimensional truth-finding

  Yu, D., Huang, H., Cassidy, T., Ji, H., Wang, C., Zhi, S., Han, J., Voss, C. & Magdon-Ismail, M., Jan 1 2014, COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers. Association for Computational Linguistics, ACL Anthology, p. 1567-1578 12 p. (COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Minorities
  • Wisdom
  • wisdom
  • minority
  • Information Extraction

• Top-K interesting subgraph discovery in information networks

  Gupta, M., Gao, J., Yan, X., Cam, H. & Han, J., 2014, 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014. IEEE Computer Society, p. 820-831 12 p. 6816703. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous networks
  • Topology

• Towards scalable critical alert mining

  Zong, B., Wu, Y., Song, J., Singh, A. K., Cam, H., Han, J. & Yan, X., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1057-1066 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Approximation algorithms
  • Heuristic algorithms
  • Trees (mathematics)
  • Sampling
  • Set theory

• 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

  • Data mining
  • Wireless sensor networks
  • Hazards and race conditions
  • Network protocols
  • Scalability

• Uncovering deception in social media: A special issue in Springer Journal Social Network Analysis and Mining.

  Liu, H., Han, J. & Motoda, H., Jan 1 2014, In: Social Network Analysis and Mining. 4, 1, p. 1-2 2 p., 162.

  Research output: Contribution to journal › Editorial › peer-review
• 2013

  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

  • Classifiers
  • Support vector machines

• A framework of traveling companion discovery on trajectory data streams

  Tang, L. A., Zheng, Y., Yuan, J., Han, J., Leung, A., Peng, W. C. & Porta, T. L., Dec 1 2013, In: ACM Transactions on Intelligent Systems and Technology. 5, 1, 2542185.

  Research output: Contribution to journal › Article › peer-review

  • Data Streams
  • Trajectory
  • Trajectories
  • Object
  • Framework

• A graph-based consensus maximization approach for combining multiple supervised and unsupervised models

  Gao, J., Liang, F., Fan, W., Sun, Y. & Han, J., Jan 1 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 1, p. 15-28 14 p., 6035707.

  Research output: Contribution to journal › Article › peer-review

  • Labeling
  • Labels
  • Set theory
  • Costs

• AMETHYST: A system for mining and exploring topical hierarchies of heterogeneous data

  Danilevsky, M., Wang, C., Tao, F., Nguyen, S., Chen, G., Desai, N., Wang, L. & Han, J., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 1458-1461 4 p. 2487716. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ontology

• 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

  • Anomaly detection
  • Intrusion detection
  • Explosions
  • Health
  • Monitoring

• An exploration of discussion threads in social news sites: A case study of the Reddit community

  Weninger, T., Zhu, X. A. & Han, J., 2013, Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, p. 579-583 5 p. (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Websites
  • Agglomeration

• A phrase mining framework for recursive construction of a topical hierarchy

  Wang, C., Danilevsky, M., Desai, N., Zhang, Y., Nguyen, P., Taula, T. & Han, J., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 437-445 9 p. 2487631. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments

• 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

  • Sensor networks
  • Data mining

• 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

  • Radio frequency identification (RFID)
  • Information management
  • Logistics
  • Sensors
  • Costs

• A text cube approach to human, social and cultural behavior in the Twitter stream

  Liu, X., Tang, K., Hancock, J., Han, J., Song, M., Xu, R. & Pokorny, B., Mar 14 2013, Social Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Proceedings. p. 321-330 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7812 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Social Behavior
  • Human Behavior
  • Regular hexahedron
  • Text
  • Opacity

• Classification and adaptive novel class detection of feature-evolving data streams

  Masud, M. M., Chen, Q., Khan, L., Aggarwal, C. C., Gao, J., Han, J., Srivastava, A. & Oza, N. C., Jun 3 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 7, p. 1484-1497 14 p., 6205751.

  Research output: Contribution to journal › Article › peer-review

  • Data mining
  • Detectors
  • Classifiers

• 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

  • Support Vector Machine
  • Support vector machines
  • kernel
  • Classifier
  • Regularization

• Community distribution outlier detection in heterogeneous information networks

  Gupta, M., Gao, J. & Han, J., Oct 31 2013, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 1 ed. p. 557-573 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8188 LNAI, no. PART 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Outlier Detection
  • Anomaly detection
  • Heterogeneous networks
  • Community
  • Outlier

• 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

  • Heterogeneous networks
  • Clustering algorithms
  • Industry
  • Experiments

• Content coverage maximization on word networks for hierarchical topic summarization

  Wang, C., Yu, X., Li, Y., Zhai, C. & Han, J., Dec 11 2013, CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. p. 249-258 10 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Summarization
  • Text Summarization
  • Modeling
  • Network Analysis
  • Random Walk

• EventCube: Multi-dimensional search and mining of structured and text data

  Tao, F., Lei, K. H., Han, J., Zhai, C. X., Cheng, X., Danilevsky, M., Desai, N., Ding, B., Ge, J., Ji, H., Kanade, R., Kao, A., Li, Q., Li, Y., Lin, C. X., Liu, J., Oza, N., Srivastava, A., Tjoelker, R., Wang, C. & 2 others, Zhang, D. & Zhao, B., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 1494-1497 4 p. 2487718. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Aviation
  • Data mining
  • Specifications