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  • Conference contribution

    Mining diversity on networks

    Liu, L., Zhu, F., Chen, C., Yan, X., Han, J., Yu, P. & Yang, S., 2010, Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. PART 1 ed. p. 384-398 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5981 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining entity synonyms with efficient neural set generation

    Shen, J., Lyu, R., Ren, X., Vanni, M., Sadler, B. & Han, J., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. American Association for Artificial Intelligence (AAAI) Press, p. 249-256 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining event periodicity from incomplete observations

    Li, Z., Wang, J. & Han, J., 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 444-452 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining evidences for named entity disambiguation

    Li, Y., Wang, C., Han, F., Han, J., Roth, D. & Yan, X., 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. 1070-1078 9 p. 2487681. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining evolving customer-product relationships in multi-dimensional space

    Li, X., Han, J., Yin, X. & Xin, D., 2005, Proceedings - 21st International Conference on Data Engineering, ICDE 2005. p. 580-581 2 p. (Proceedings - International Conference on Data Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining frequent itemsets using support constraints

    Wang, K., He, Y. & Han, J., 2000, Proceedings of the 26th International Conference on Very Large Data Bases, VLDB'00. p. 43-52 10 p. (Proceedings of the 26th International Conference on Very Large Data Bases, VLDB'00).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining frequent patterns from very high dimensional data: A top-down row enumeration approach

    Liu, H., Han, J., Xin, D. & Shao, Z., 2006, Proceedings of the Sixth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, p. 282-293 12 p. (Proceedings of the Sixth SIAM International Conference on Data Mining; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining Frequent Patterns without Candidate Generation

    Han, J., Pei, J. & Yin, Y., 2000, SIGMOD 2000 - Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1-12 12 p. (SIGMOD 2000 - Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Mining heterogeneous information networks: The next frontier

    Han, J., 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 2-3 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining heterogeneous information networks by exploring the power of links

    Han, J., 2009, Discovery Science - 12th International Conference, DS 2009, Proceedings. p. 13-30 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5808 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining hidden community in heterogeneous social network

    Cai, D., Shao, Z., He, X., Yan, X. & Han, J., Aug 21 2005, 3rd International Workshop on Link Discovery, LinkKDD 2005 - in conjunction with 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 58-65 8 p. (3rd International Workshop on Link Discovery, LinkKDD 2005 - in conjunction with 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Mining knowledge from databases: An information network analysis approach

    Han, J., Sun, Y., Yan, X. & Yu, P. S., 2010, Proceedings of the 2010 International Conference on Management of Data, SIGMOD '10. p. 1251-1252 2 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 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 proceedingConference contribution

    Open Access
  • Mining lines in the sand: On trajectory discovery from untrustworthy data in cyber-physical system

    Tang, L. A., Yu, X., Gu, Q., Han, J., Leung, A. & La Porta, T., 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. 410-418 9 p. 2487585. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining long sequential patterns in a noisy environment

    Yang, J., Wang, W., Yu, P. S. & Han, J., Jun 3 2002, Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, SIGMOD 2002. Association for Computing Machinery, p. 406-417 12 p. (Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, SIGMOD 2002).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining moving object, trajectory and traffic data

    Han, J., Li, Z. & Tang, L. A., 2010, Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. PART 2 ed. p. 485-486 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5982 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation

    Wang, J., Tong, W., Yu, H., Li, M., Ma, X., Cai, H., Hanratty, T. & Han, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z.-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 429-438 10 p. 7373347. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Mining multi-dimensional constrained gradients in data cubes

    Dong, G., Han, J., Lam, J., Pei, J. & Wang, K., 2001, VLDB 2001 - Proceedings of 27th International Conference on Very Large Data Bases. Apers, P. M. G., Atzeni, P., Snodgrass, R. T., Ceri, S., Ramamohanarao, K. & Paraboschi, S. (eds.). Morgan Kaufmann, p. 321-330 10 p. (VLDB 2001 - Proceedings of 27th International Conference on Very Large Data Bases).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach

    Kim, H., El-Kishky, A., Ren, X. & Han, J., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 105-114 10 p. 9006049. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Mining periodic behaviors for moving objects

    Li, Z., Ding, B., Han, J., Kays, R. & Nye, P., 2010, KDD'10 - Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data. p. 1099-1108 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining personal image collection for social group suggestion

    Yu, J., Jin, X., Han, J. & Luo, J., 2009, ICDM Workshops 2009 - IEEE International Conference on Data Mining. p. 202-207 6 p. 5360503. (ICDM Workshops 2009 - IEEE International Conference on Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining preferences from superior and inferior examples

    Jiang, B., Pei, J., Lin, X., Cheung, D. W. & Han, J., 2008, KDD 2008 - Proceedings of the 14th ACMKDD International Conference on Knowledge Discovery and Data Mining. p. 390-398 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Mining quality phrases from massive text corpora

    Liu, J., Shang, J., Wang, C., Ren, X. & Han, J., May 27 2015, SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1729-1744 16 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. 2015-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 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 proceedingConference contribution

  • Mining reliable information from passively and actively crowdsourced data

    Gao, J., Li, Q., Zhao, B., Fan, W. & 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. 2121-2122 2 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 proceedingConference contribution

    Open Access
  • Mining scale-free networks using geodesic clustering

    Wu, A. Y., Garland, M. & Han, J., 2004, KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 719-724 6 p. (KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining Segment-Wise Periodic Patterns in Time-Related Databases

    Han, J., Gong, W. & Yin, Y., 1998, Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD 1998. American Association for Artificial Intelligence (AAAI) Press, p. 214-218 5 p. (Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD 1998).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining significant graph patterns by leap search

    Yan, X., Cheng, H., Han, J. & Yu, P. S., 2008, SIGMOD 2008: Proceedings of the ACM SIGMOD International Conference on Management of Data 2008. p. 433-444 12 p. 1376662. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining significant time intervals for relationship detection

    Li, Z., Lin, C. X., Ding, B. & Han, J., 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. p. 386-403 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6849 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining text outliers in document directories

    Fouche, E., Meng, Y., Guo, F., Zhuang, H., Bohm, K. & Han, J., Nov 2020, Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020. Plant, C., Wang, H., Cuzzocrea, A., Zaniolo, C. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 152-161 10 p. 9338390. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2020-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining topic-level influence in heterogeneous networks

    Liu, L., Tang, J., Han, J., Jiang, M. & Yang, S., 2010, CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. p. 199-208 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining top-K frequent closed patterns without minimum support

    Han, J., Wang, J., Lu, Y. & Tzvetkov, P., 2002, Proceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002. p. 211-218 8 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining top-n local outliers in large databases

    Jin, W., Tung, A. K. H. & Han, J., 2001, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Provost, F., Srikant, R., Schkolnick, M. & Lee, D. (eds.). Association for Computing Machinery, p. 293-298 6 p. (Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • MLR-index: An index structure for fast and scalable similarity search in high dimensions

    Malik, R., Kim, S., Jin, X., Ramachandran, C., Han, J., Gupta, I. & Nahrstedt, K., 2009, Scientific and Statistical Database Management - 21st International Conference, SSDBM 2009, Proceedings. p. 167-184 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5566 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Modeling and exploiting heterogeneous bibliographic networks for expertise ranking

    Deng, H., Han, J., Lyu, M. R. & King, I., 2012, JCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries. p. 71-80 10 p. (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Modeling check-in preferences with multidimensional knowledge: A minimax entropy approach

    Wang, J., Li, M., Han, J. & Wang, X., Feb 8 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 297-306 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Modeling hidden topics on document manifold

    Cai, D., Mei, Q., Han, J. & Zhai, C., 2008, Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. p. 911-920 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Modeling probabilistic measurement correlations for problem determination in large-scale distributed systems

    Gao, J., Jiang, G., Chen, H. & Han, J., 2009, 2009 29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS, 09. p. 623-630 8 p. 5158476. (Proceedings - International Conference on Distributed Computing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Modeling truth existence in truth discovery

    Zhi, S., Zhao, B., Tong, W., Gao, J., Yu, D., 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. 1543-1552 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 proceedingConference contribution

    Open Access
  • MotifClass: Weakly supervised text classification with higher-order metadata information

    Zhang, Y., Garg, S., Meng, Y., Chen, X. & Han, J., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 1357-1367 11 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Motion-alert: Automatic anomaly detection in massive moving objects

    Li, X., Han, J. & Kim, S., 2006, Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. Springer, p. 166-177 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3975 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • MoveMine: Mining moving object databases

    Li, Z., Ji, M., Lee, J. G., Tang, L. A., Yu, Y., Han, J. & Kays, R., 2010, Proceedings of the 2010 International Conference on Management of Data, SIGMOD '10. p. 1203-1206 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Multi-document summarization with maximal marginal relevance-guided reinforcement learning

    Mao, Y., Qu, Y., Xie, Y., Ren, X. & Han, J., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1737-1751 15 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Multi-Domain Integration and Correlation Engine

    Dron, W., Hunter, A., Sydney, A., Pal, S., Hancock, J., Scott, L., Abdelzaher, T., Han, J., Adali, S. & Horne, B., Jul 2 2018, 2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1074-1079 6 p. 8599706. (Proceedings - IEEE Military Communications Conference MILCOM; vol. 2019-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks

    Yang, C., Pal, A., Zhai, A., Pancha, N., Han, J., Rosenberg, C. & Leskovec, 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. 2434-2443 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Multi-view clustering via joint nonnegative matrix factorization

    Liu, J., Wang, C., Gao, J. & Han, J., 2013, Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013. Ghosh, J., Obradovic, Z., Dy, J., Zhou, Z.-H., Kamath, C. & Parthasarathy, S. (eds.). Siam Society, p. 252-260 9 p. (Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • NDPMine: Efficiently mining discriminative numerical features for pattern-based classification

    Kim, H., Kim, S., Weninger, T., Han, J. & Abdelzaher, T., 2010, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Proceedings. PART 2 ed. p. 35-50 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6322 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Near-imperceptible neural linguistic steganography via self-adjusting arithmetic coding

    Shen, J., Ji, H. & Han, J., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 303-313 11 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network

    Shang, J., Zhang, X., Liu, L., Li, S. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 1908-1919 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Network A/B Testing: From sampling to estimation

    Gui, H., Xu, Y., Bhasin, A. & Han, J., May 18 2015, WWW 2015 - Proceedings of the 24th International Conference on World Wide Web. Association for Computing Machinery, p. 399-409 11 p. (WWW 2015 - Proceedings of the 24th International Conference on World Wide Web).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution