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• A bayesian approach to discovering truth from conflicting sources for data integration

  Zhao, B., Rubinstein, B. I. P., Gemmell, J. & Han, J., Feb 2012, In: Proceedings of the VLDB Endowment. 5, 6, p. 550-561 12 p.

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

  • Data integration
  • Sampling
  • Experiments

• 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

• 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 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, 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

• Analysis and refinement of cross-lingual entity linking

  Cassidy, T., Ji, H., Deng, H., Zheng, J. & Han, J., 2012, Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings. p. 1-12 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7488 LNCS).

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

  • Text processing
  • Linking
  • Machine Translation
  • Refinement
  • Information Extraction

• 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

• 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., Dec 1 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., Dec 1 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

• A simple algorithm for semi-supervised learning with improved generalization error bound

  Ji, M., Yang, T., Lin, B., Jin, R. & Han, J., Oct 10 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 1223-1230 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 2).

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

  • Supervised learning
  • regression
  • Eigenvalues and eigenfunctions
  • Linear regression
  • learning

• 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

• 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

• 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

• A variance minimization criterion to active learning on graphs

  Ji, M. & Han, J., 2012, In: Journal of Machine Learning Research. 22, p. 556-564 9 p.

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

  • Active Learning
  • Problem-Based Learning
  • Labels
  • Graph in graph theory
  • Gaussian Random Field

• Batch-mode active learning via error bound minimization

  Gu, Q., Zhang, T. & Han, J., Jan 1 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

• BlueFinder: Estimate where a beach photo was taken

  Cao, L., Smith, J., Wen, Z., Yin, Z., Jin, X. & Han, J., May 21 2012, WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion. p. 469-470 2 p. (WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion).

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

  • Beaches
  • Iterative methods
  • Classifiers

• 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

• Building enriched web page representations using link paths

  Weninger, T., Zhai, C. & Han, J., Jul 25 2012, HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media. p. 53-62 10 p. (HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media).

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

  • Anchors
  • Websites
  • Search engines
  • World Wide Web

• 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

• Citation prediction in heterogeneous bibliographic networks

  Yu, X., Gu, Q., Zhou, M. & Han, J., Jan 1 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, p. 1119-1130 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

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

  • Experiments

• 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

• ClusCite: Effective citation recommendation by information network-based clustering

  Ren, X., Liu, J., Yu, X., Khandelwal, U., Gu, Q., Wang, L. & Han, J., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 821-830 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

  • Experiments

• 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

• ClusType: Effective entity recognition and typing by relation phrase-based clustering

  Ren, X., El-Kishky, A., Wang, C., Tao, F., Voss, C. R., Ji, H. & 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. 995-1004 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

  • Experiments

• Co-author relationship prediction in heterogeneous bibliographic networks

  Sun, Y., Barber, R., Gupta, M., Aggarwal, C. C. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 121-128 8 p. 5992571. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Electric network analysis
  • Experiments