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• Article

  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

  • Websites
  • Electronic mail
  • World Wide Web
  • Agglomeration

• 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

  • Sensor nodes
  • Agglomeration
  • Labels
  • Decision making
  • Availability

• 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

  • Trustworthiness
  • Sensor
  • Cyber Physical System
  • Sensor Networks
  • Sensors

• 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

  • World Wide Web
  • Data mining
  • Uncertainty

• 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

  • Semantics
  • Costs
  • Experiments

• World knowledge as indirect supervision for document clustering

  Wang, C., Song, Y., Roth, D., Zhang, M. & Han, J., Dec 2016, In: ACM Transactions on Knowledge Discovery from Data. 11, 2, 13.

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

  • Semantics
  • Clustering algorithms
  • Experiments
  • Linguistics
  • Machine learning
• Book

  Data Mining: Concepts and Techniques

  Han, J., Kamber, M. & Pei, J., Jan 1 2012, Elsevier Inc.

  Research output: Book/Report/Conference proceeding › Book

  • Data mining
  • Acoustic waves
  • Data warehouses
  • Data Analytics
  • Websites
• Chapter

  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 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

• Efficient direct mining of selective discriminative patterns for classification

  Cheng, H., Han, J., Yan, X. & Yu, P. S., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. 39-58 20 p.

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

• 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

  • Statistical Models
  • Modeling languages
  • Hidden Markov models

• 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

  • Crowdsourcing
  • Agglomeration
  • Big data
  • Websites
  • Data acquisition
• Conference article

  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

• 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

• 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

• Collaborative multi-level embedding learning from reviews for rating prediction

  Wei, Z., Yuan, Q., Han, J. & Jianyong, W., Jan 1 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 2986-2992 7 p.

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

  • Factorization

• 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

• Learning hostname preference to enhance search relevance

  Wang, J., Kang, C., Chang, Y. & Han, J., Jan 1 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 3903-3909 7 p.

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

  • Electric sparks
  • Parallel algorithms

• Locality preserving feature learning

  Gu, Q., Danilevsky, M., Li, Z. & Han, J., 2012, In: Journal of Machine Learning Research. 22, p. 477-485 9 p.

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

  • Linear transformations
  • Locality
  • Learning
  • Indexing
  • Integer programming

• 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

  • Electric network analysis
  • Data mining
  • Students

• Mining Structures from Massive Text Data: A Data-Driven Approach

  Han, J., 2017, In: CEUR Workshop Proceedings. 2029, p. 16-19 4 p.

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

  • Big data

• Multidimensional analysis of atypical events in cyber-physical data

  Tang, L. A., Yu, X., Kim, S., Han, J., Peng, W. C., Sun, Y., Gonzalez, H. & Seith, S., 2012, In: Proceedings - International Conference on Data Engineering. p. 1025-1036 12 p., 6228153.

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

  • Cyber Physical System
  • Clustering algorithms
  • Macros
  • Sensor networks
  • Cameras

• On discovery of traveling companions from streaming trajectories

  Tang, L. A., Zheng, Y., Yuan, J., Han, J., Leung, A., Hung, C. C. & Peng, W. C., 2012, In: Proceedings - International Conference on Data Engineering. p. 186-197 12 p., 6228083.

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

  • Trajectories
  • Data structures
  • Monitoring
  • Costs
  • Experiments

• Semantic frame-based document representation for comparable corpora

  Kim, H., Ren, X., Sun, Y., Wang, C. & Han, J., Dec 1 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 350-359 10 p., 6729519.

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

  • Radiation
  • Semantics
  • Text processing
  • Conveying
  • Experiments

• TextCube: Automated construction and multidimensional exploration

  Meng, Y., Huang, J., Shang, J. & Han, J., 2018, In: Proceedings of the VLDB Endowment. 12, 12, p. 1974-1977 4 p.

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

  • Data Science

• Unsupervised link selection in networks

  Gu, Q., Aggarwal, C. & Han, J., 2013, In: Journal of Machine Learning Research. 31, p. 298-306 9 p.

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

  • Feature extraction
  • Machine learning
  • Experiments
  • Community Structure
  • Quality Measures
• Conference contribution

  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

• 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

• 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

• 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

• An attention-based collaboration framework for multi-view network representation learning

  Meng, Q., Tang, J., Shang, J., Ren, X., Zhang, M. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1767-1776 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Node
  • Proximity
  • Voting
  • Vote

• 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 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 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 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

• 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

• 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 synonym discovery with knowledge bases

  Qu, M., Ren, X. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 997-1005 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • Fruits
  • Learning systems
  • Supervised learning
  • Data mining
  • Statistics

• 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

• Bridging collaborative filtering and semi-supervised learning: A neural approach for POI recommendation

  Yang, C., Bai, L., Zhang, C., Yuan, Q. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1245-1254 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • Collaborative filtering
  • Supervised learning
  • Recommender systems
  • Factorization
  • Industry

• Bringing semantics to spatiotemporal data mining: Challenges, methods, and applications

  Zhang, C., Yuan, Q. & Han, J., May 16 2017, Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, p. 1455-1458 4 p. 7930108. (Proceedings - International Conference on Data Engineering).

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

  • Data mining
  • Semantics
  • Global positioning system
  • Mobile computing

• 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

• Building structured databases of factual knowledge from massive text corpora

  Ren, X., Jiang, M., Shang, J. & Han, J., May 9 2017, SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data. Association for Computing Machinery, p. 1741-1745 5 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. Part F127746).

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

  • 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