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• 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

  • Experiments

• 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

  • Active Learning
  • Problem-Based Learning
  • Node
  • Labels
  • Social Networks

• Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach

  Xin, D., El-Kishky, A., Liao, D., Norick, B. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1350-1355 6 p. 8594993. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Problem-Based Learning
  • Labels
  • Labeling
  • Machine learning
  • Costs

• AdaQAC: Adaptive query auto-completion via implicit negative feedback

  Zhang, A., Goyal, A., Kong, W., Deng, H., Dong, A., Chang, Y., Gunter, C. A. & Han, J., Aug 9 2015, SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 143-152 10 p. (SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Feedback
  • Chemical analysis
  • Experiments

• A Data-Driven Graph Generative Model for Temporal Interaction Networks

  Zhou, D., Zheng, L., Han, J. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 401-411 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Discriminators
  • Social sciences
  • Anomaly detection
  • Sampling

• 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

• AFET: Automatic fine-grained entity typing by hierarchical partial-label embedding

  Ren, X., He, W., Qu, M., Huang, L., Ji, H. & Han, J., 2016, EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 1369-1378 10 p. (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

  Open Access

  • Labels
  • Experiments

• A framework of mining trajectories from untrustworthy data in cyber-physical system

  Tang, L. A., Yu, X., Gu, Q., Han, J., Jiang, G., Leung, A. & La Porta, T., Feb 1 2015, In: ACM Transactions on Knowledge Discovery from Data. 9, 3, p. 16 1 p.

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

  • Cyber Physical System
  • Miners
  • Trajectories
  • Sand
  • Sensors

• 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 general framework for efficient clustering of large datasets based on activity detection

  Jin, X., Kim, S., Han, J., Cao, L. & Yin, Z., Feb 2011, In: Statistical Analysis and Data Mining. 4, 1, p. 11-29 19 p.

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

  • Large Data Sets
  • Large dataset
  • Clustering
  • Framework
  • K-means

• 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

• A hierarchical Dirichlet model for taxonomy expansion for search engines

  Wang, J., Kang, C., Chang, Y. & Han, J., Apr 7 2014, WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, p. 961-970 10 p. (WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web).

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

  • Taxonomies
  • Search engines
  • Navigation systems
  • World Wide Web
  • Industry

• 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

• A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression

  Liu, Y., Gu, Q., Hou, J. P., Han, J. & Ma, J., Feb 4 2014, In: BMC bioinformatics. 15, 1, 37.

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

  • Clustering Algorithm
  • Gene Expression
  • Gene expression
  • Cancer
  • Clustering algorithms

• 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

• 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

  • Proteins
  • Genes
  • Biological Ontologies
  • Natural Language Processing
  • Set theory

• 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

• Apollo: Towards factfinding in participatory sensing

  Le, H. K., Pasternack, J., Ahmadi, H., Gupta, M., Sun, Y., Abdelzaher, T., Han, J., Roth, D., Szymanski, B. & Adali, S., Jun 23 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11. p. 129-130 2 p. 5779079. (Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11).

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

  • Demonstrations
  • Tsunamis
  • Sensors
  • Application programming interfaces (API)
  • Data mining

• 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

  • telecommunication
  • Healthcare
  • event
  • education

• 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

  • literature

• A probabilistic approach to detect mixed periodic patterns from moving object data

  Li, J., Wang, J., Zhang, J., Qin, Q., Jindal, T. & Han, J., Oct 1 2016, In: GeoInformatica. 20, 4, p. 715-739 25 p.

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

  • periodicity
  • candidacy
  • filter
  • world
  • detection method

• A probabilistic model for linking named entities in Web text with heterogeneous information networks

  Shen, W., Han, J. & Wang, J., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1199-1210 12 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Statistical Models
  • Semantics

• Aspect-based sentiment analysis with minimal guidance

  Zhuang, H., Hanratty, T. & Han, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 253-261 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

  Open Access

  • Sentiment analysis
  • Seed
  • Experiments

• A spectral framework for detecting inconsistency across multi-source object relationships

  Gao, J., Fan, W., Turaga, D., Parthasarathy, S. & Han, J., 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 1050-1055 6 p. 6137313. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Anomaly detection
  • Decomposition

• ASPEM: Embedding learning by aspects in heterogeneous information networks

  Shi, Y., Gui, H., Zhu, Q., Kaplan, L. & Han, J., 2018, p. 144-152. 9 p.

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

  Open Access

  • Semantics
  • Statistics
  • Experiments

• A spherical hidden Markov model for semantics-rich human mobility modeling

  Zhu, W., Zhang, C., Yao, S., Gao, X. & Han, J., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 4613-4620 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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

  • Hidden Markov models
  • Semantics
  • Bessel functions
  • Newton-Raphson method
  • Global positioning system

• Assembler: Efficient discovery of spatial co-evolving patterns in massive geo-sensory data

  Zhang, C., Zheng, Y., Ma, X. & Han, J., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1415-1424 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

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

  • Sensors
  • Wavelet transforms
  • Time series
  • 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

• A unifying framework of mining trajectory patterns of various temporal tightness

  Lee, J. G., Han, J. & Li, X., Jun 1 2015, In: IEEE Transactions on Knowledge and Data Engineering. 27, 6, p. 1478-1490 13 p., 6977963.

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

  • Trajectories

• Authorship classification: A discriminative syntactic tree mining approach

  Kim, S., Kim, H., Weninger, T., Han, J. & Kim, H. D., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 455-464 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Syntactics
  • Computational complexity
  • Experiments

• AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

  Dong, X. L., He, X., Kan, A., Li, X., Liang, Y., Ma, J., Xu, Y. E., Zhang, C., Zhao, T., Blanco Saldana, G., Deshpande, S., Michetti Manduca, A., Ren, J., Singh, S. P., Xiao, F., Chang, H. S., Karamanolakis, G., Mao, Y., Wang, Y., Faloutsos, C. & 2 others, McCallum, A. & Han, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2724-2734 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  Open Access

  • Anomaly detection
  • Taxonomies

• Automated Phrase Mining from Massive Text Corpora

  Shang, J., Liu, J., Jiang, M., Ren, X., Voss, C. R. & Han, J., Oct 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 10, p. 1825-1837 13 p., 8306825.

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

  • Text processing
  • Taxonomies
  • Labeling
  • Linguistics

• Automatic construction and ranking of topical keyphrases on collections of short documents

  Danilevsky, M., Wang, C., Desai, N., Ren, X., Guo, J. & Han, J., 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. 398-406 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 1).

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

• Automatic entity recognition and typing from massive text corpora: A phrase and network mining approach

  Ren, X., El-Kishky, A., Wang, C. & Han, J., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2319-2320 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

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

  • Knowledge management
  • Labels
  • Data mining

• Automatic entity recognition and typing in massive text data

  Ren, X., El-Kishky, A., Ji, H. & Han, J., Jun 26 2016, SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery, p. 2235-2239 5 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. 26-June-2016).

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

  • Knowledge management
  • Labels
  • Data mining

• Automatic Textual Evidence Mining in COVID-19 Literature

  Wang, X., Liu, W., Chauhan, A., Guan, Y. & Han, J., Apr 27 2020, (In preparation) (arXiv:2004.12563).

  Research output: Working paper

  • Visualization

• Batch-mode active learning via error bound minimization

  Gu, Q., Zhang, T. & Han, J., 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 300-309 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

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

  • Problem-Based Learning
  • Labels
  • Logistics
  • Labeling
  • Error analysis

• Be appropriate and funny: Automatic entity morph encoding

  Zhang, B., Huang, H., Pan, X., Ji, H., Knight, K., Wen, Z., Sun, Y., Han, J. & Yener, B., Jan 1 2014, Long Papers. Association for Computational Linguistics (ACL), p. 706-711 6 p. (52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference; vol. 2).

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

  • Morph
  • Encoding
  • Entity
  • Instant
  • censorship

• Bidirectional mining of non-redundant recurrent rules from a sequence database

  Lo, D., Ding, B., Lucia & Han, J., Jun 6 2011, 2011 IEEE 27th International Conference on Data Engineering, ICDE 2011. p. 1043-1054 12 p. 5767848. (Proceedings - International Conference on Data Engineering).

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

  • Specifications

• Biomedical event extraction based on knowledge-driven tree-LSTM

  Li, D., Huang, L., Ji, H. & Han, J., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 1421-1430 10 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

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

  • Long short-term memory
  • Short-term Memory
  • knowledge
  • event
  • Knowledge representation

• Bringing structure to text: Mining phrases, entities, topics, and hierarchies

  Han, J., Wang, C. & El-Kishky, A., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1968 1 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Knowledge management
  • Big data
  • Websites
  • Data mining
  • Industry

• CatchTartan: Representing and summarizing dynamic multicontextual behaviors

  Jiang, M., Faloutsos, C. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 945-954 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Costs

• 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

• Classification and novel class detection in concept-drifting data streams under time constraints

  Masud, M., Gao, J., Khan, L., Han, J. & Thuraisingham, B. M., May 5 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 6, p. 859-874 16 p., 5453372.

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

  • Labels
  • Labeling
  • Time delay
  • Classifiers

• Classification with active learning and meta-paths in heterogeneous information networks

  Wan, C., Li, X., Kao, B., Yu, X., Gu, Q., Cheung, D. & Han, J., Oct 17 2015, CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 443-452 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 19-23-Oct-2015).

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

  • Active Learning
  • Information Networks
  • Classifier
  • Synergy

• Cloud-based malware detection for evolving data streams

  Masud, M. M., Al-Khateeb, T. M., Hamlen, K. W., Gao, J., Khan, L., Han, J. & Thuraisingham, B., Oct 2011, In: ACM Transactions on Management Information Systems. 2, 3, 16.

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

  • Data Streams
  • Malware
  • Classifier
  • Feature Extraction
  • Feature extraction

• Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

  Sigdel, D., Kyi, V., Zhang, A., Setty, S. P., Liem, D. A., Shi, Y., Wang, X., Shen, J., Wang, W., Han, J. W. & Ping, P., Feb 23 2019, In: Journal of visualized experiments : JoVE. 144

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

  Open Access

  • Semantics
  • Publications
  • Cloud Computing
  • Data Mining
  • Biomedical Research