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• 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

• Unsupervised concept categorization and extraction from scientific document titles

  Krishnan, A., Sankar, A., Zhi, S. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1339-1348 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Grammar
  • Probabilistic Model
  • Tag
  • Qualitative Analysis
  • Knowledge Base

• Unsupervised disaggregation of low frequency power measurements

  Kim, H., Marwah, M., Arlitt, M., Lyon, G. & Han, J., Dec 1 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. p. 747-758 12 p. (Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011).

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

  • Conservation
  • Climate change
  • Hidden Markov models

• 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

• 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

• Urbanity: A system for interactive exploration of urban dynamics from streaming human sensing data

  Liu, M., Liu, Z., Zhang, C., Zhang, K., Yuan, Q., Hanratty, T. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2503-2506 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Urban Dynamics
  • Modeling
  • Urban Environment
  • Query
  • Urbanization

• User guided entity similarity search using meta-path selection in heterogeneous information networks

  Yu, X., Sun, Y., Norick, B., Mao, T. & Han, J., Dec 19 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. p. 2025-2029 5 p. (ACM International Conference Proceeding Series).

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

  • Semantics
  • Experiments

• Weakly-supervised neural text classification

  Meng, Y., Shen, J., Zhang, C. & Han, J., Oct 17 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 983-992 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Text Classification
  • Supervision
  • Module
  • Bootstrap
  • Generator

• Weakly-supervised relation extraction by pattern-enhanced embedding learning

  Qu, M., Ren, X., Zhang, Y. & Han, J., Apr 10 2018, The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018. Association for Computing Machinery, Inc, p. 1257-1266 10 p. (The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018).

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

  • Seed
  • Statistics
  • Classifiers
  • Neural networks
  • Experiments

• Welcome message from the organizers

  Bertino, E., Han, J., Johnson, M., Stonebraker, M., Baru, C. & Banavar, G., Jan 1 2016, In: Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. 7840576.

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

• When will it happen? - Relationship prediction in heterogeneous information networks

  Sun, Y., Han, J., Aggarwal, C. C. & Chawla, N. V., Mar 15 2012, WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining. p. 663-672 10 p. (WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining).

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

  • Heterogeneous networks
  • Electric network analysis
  • Experiments

• WINACS: Construction and analysis of web-based computer science information networks

  Weninger, T., Danilevsky, M., Fumarola, F., Hailpern, J., Han, J., Johnston, T. J., Kallumadi, S., Kim, H., Li, Z., McCloskey, D., Sun, Y., TeGrotenhuis, N. E., Wang, C. & Yu, X., Jul 11 2011, Proceedings of SIGMOD 2011 and PODS 2011. p. 1255-1257 3 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Electric network analysis
  • Computer science
  • Data Science

• 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