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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
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When do GNNs work: Understanding and improving neighborhood aggregation
Xie, Y., Li, S., Yang, C., Wong, R. C. W. & Han, J., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 1303-1309 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
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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
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Weakly-supervised hierarchical text classification
Meng, Y., Shen, J., Zhang, C. & 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. AAAI Press, p. 6826-6833 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 proceeding › Conference contribution
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User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription
Shi, Y., He, X., Zhang, N., Yang, C. & Han, J., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer, p. 361-377 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11906 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
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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
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Unsupervised link selection in networks
Gu, Q., Aggarwal, C. & Han, J., Jan 1 2013, In: Journal of Machine Learning Research. 31, p. 298-306 9 p.Research output: Contribution to journal › Conference article › peer-review
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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
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Unsupervised Differentiable Multi-aspect Network Embedding
Park, C., Yang, C., Zhu, Q., Kim, D., Yu, H. & 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. 1435-1445 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
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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
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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
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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
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Trust analysis with clustering
Gupta, M., Sun, Y. & Han, J., Apr 29 2011, Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011. p. 53-54 2 p. (Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TruePIE: Discovering reliable patterns in pattern-based information extraction
Li, Q., Jiang, M., Zhang, X., Qu, M., Hanratty, T., Gao, J. & Han, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1675-1684 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
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TrioVecEvent: Embedding-based online local event detection in geo-tagged tweet streams
Zhang, C., Liu, L., Lei, D., Yuan, Q., Zhuang, H., Hanratty, T. & 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. 595-604 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
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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
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Towards interactive construction of topical hierarchy: A recursive tensor decomposition approach
Wang, C., Liu, X., Song, Y. & 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. 1225-1234 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
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Towards feature selection in network
Gu, Q. & Han, J., Dec 13 2011, CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. p. 1175-1184 10 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Torpedo: Topic periodicity discovery from text data
Wang, J., Deng, H. & Han, J., Jan 1 2015, Next-Generation Analyst III. Hanratty, T. P., Llinas, J., Broome, B. D. & Hall, D. L. (eds.). SPIE, 94990A. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9499).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TOPTRAC: Topical trajectory pattern mining
Kim, Y., Han, J. & Yuan, C., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 587-596 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
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The sparse regression cube: A reliable modeling technique for open cyber-physical systems
Ahmadi, H., Abdelzaher, T., Han, J., Pham, N. & Ganti, R. K., Aug 10 2011, Proceedings - 2011 IEEE/ACM 2nd International Conference on Cyber-Physical Systems, ICCPS 2011. p. 87-96 10 p. 5945424. (Proceedings - 2011 IEEE/ACM 2nd International Conference on Cyber-Physical Systems, ICCPS 2011).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
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The joint inference of topic diffusion and evolution in social communities
Lin, C. X., Mei, Q., Han, J., Jiang, Y. & Danilevsky, M., Dec 1 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 378-387 10 p. 6137242. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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The environmental-data automated track annotation (Env-DATA) system: Linking animal tracks with environmental data
Dodge, S., Bohrer, G., Weinzierl, R., Davidson, S. C., Kays, R., Douglas, D., Cruz, S., Han, J., Brandes, D. & Wikelski, M., Jul 3 2013, In: Movement Ecology. 1, 1, 3.Research output: Contribution to journal › Article › peer-review
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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
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TEXplorer: Keyword-based object search and exploration in multidimensional text databases
Zhao, B., Lin, X., Ding, B. & Han, J., Dec 13 2011, CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. p. 1709-1718 10 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TaxoGen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering
Zhang, C., Tao, F., Chen, X., Shen, J., Jiang, M., Sadler, B., Vanni, M. & Han, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2701-2709 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Shen, J., Shen, Z., Xiong, C., Wang, C., Wang, K. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 486-497 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Task-guided pair embedding in heterogeneous network
Park, C., Kim, D., Zhu, Q., Han, J. & Yu, H., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 489-498 10 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Studies in Computational Intelligence: Foreword
Han, J., Mar 7 2011, Mining of Data with Complex Structures. p. VII-VIII (Studies in Computational Intelligence; vol. 333).Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript
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STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream
Feng, W., Zhang, C., Zhang, W., Han, J., Wang, J., Aggarwal, C. & Huang, J., May 26 2015, 2015 IEEE 31st International Conference on Data Engineering, ICDE 2015. IEEE Computer Society, p. 1561-1572 12 p. 7113425. (Proceedings - International Conference on Data Engineering; vol. 2015-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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STFNets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks
Yao, S., Piao, A., Jiang, W., Zhao, Y., Shao, H., Liu, S., Liu, D., Li, J., Wang, T., Hu, S., Su, L., Han, J. & Abdelzaher, T., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 2192-2202 11 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Spherical text embedding
Meng, Y., Huang, J., Wang, G., Zhang, C., Zhuang, H., Kaplan, L. & Han, J., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
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Speed up kernel discriminant analysis
Cai, D., He, X. & Han, J., 2011, In: VLDB Journal. 20, 1, p. 21-33 13 p.Research output: Contribution to journal › Article › peer-review
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Specification mining: A concise introduction
Lo, D., Khoo, S. C., Liu, C. & Han, J., Jan 1 2011, Mining Software Specifications: Methodologies and Applications. CRC Press, p. 1-27 27 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Spatiotemporal periodical pattern mining in traffic data
Jindal, T., Giridhar, P., Tang, L. A., Li, J. & Han, J., Sep 19 2013, 2nd International Workshop on Urban Computing, UrbComp 2013 - Held in Conjunction with KDD 2013. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Spatiotemporal activity modeling under data scarcity: A graph-regularized cross-modal embedding approach
Zhang, C., Liu, M., Liu, Z., Yang, C., Zhang, L. & Han, J., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 531-538 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Socialspamguard: A data miningbased spam detection system for social media networks
Jin, X., Lin, C. X., Luo, J. & Han, J., Aug 1 2011, In: Proceedings of the VLDB Endowment. 4, 12, p. 1458-1461 4 p.Research output: Contribution to journal › Article › peer-review
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Social patterns: Community detection using behavior-generated network datasets
Leung, A., Dron, W., Hancock, J. P., Aguirre, M., Purnell, J., Han, J., Wang, C., Srivastava, J., Mahapatra, A., Roy, A. & Scott, L., 2013, Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013. p. 82-89 8 p. 6609198. (Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Similarity modeling on heterogeneous networks via automatic path discovery
Yang, C., Liu, M., He, F., Zhang, X., Peng, J. & Han, J., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Bonchi, F., Berlingerio, M., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Springer-Verlag Berlin Heidelberg, p. 37-54 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Signature pattern covering via local greedy algorithm and Pattern Shrink
Kim, H., Im, S., Abdelzaher, T., Han, J., Sheridan, D. & Vasudevan, S., Dec 1 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 330-339 10 p. 6137237. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks
Shen, W., Han, J., Wang, J., Yuan, X. & Yang, Z., Feb 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 2, p. 353-366 14 p., 7990163.Research output: Contribution to journal › Article › peer-review
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SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble
Shen, J., Wu, Z., Lei, D., Shang, J., Ren, X. & Han, J., 2017, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings. Ceci, M., Dzeroski, S., Vens, C., Todorovski, L. & Hollmen, J. (eds.). Springer-Verlag Berlin Heidelberg, p. 288-304 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10534 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
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Selective sampling on graphs for classification
Gu, Q., Aggarwal, C., Liu, J. & 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. 131-139 9 p. 2487641. (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
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SCENE: Structural conversation evolution network
Danilevsky, M., Hailpern, J. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 29-36 8 p. 5992582. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Robust classification of information networks by consistent graph learning
Zhi, S., Han, J. & Gu, Q., 2015, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015. Costa, V. S., Soares, C., Appice, A., Appice, A., Rodrigues, P. P., Costa, V. S., Soares, C., Gama, J., Jorge, A., Rodrigues, P. P., Gama, J., Costa, V. S., Jorge, A., Appice, A., Rodrigues, P. P., Gama, J., Appice, A., Soares, C., Jorge, A., Gama, J., Rodrigues, P. P., Costa, V. S., Soares, C. & Jorge, A. (eds.). Springer-Verlag Berlin Heidelberg, p. 752-767 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9285).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Revealing density-based clustering structure from the core-connected tree of a network
Huang, J., Sun, H., Song, Q., Deng, H. & Han, J., Aug 1 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 8, p. 1876-1889 14 p., 6200274.Research output: Contribution to journal › Article › peer-review