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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
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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
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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
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A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration- resistant prostate cancer
Prostate Cancer DREAM Challenge Community, 2017, In: JCO Clinical Cancer Informatics. 2017, 1, p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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ASPEM: Embedding learning by aspects in heterogeneous information networks
Shi, Y., Gui, H., Zhu, Q., Kaplan, L. & Han, J., 2018, p. 144-152. 9 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
A spherical hidden Markov model for semantics-rich human mobility modeling
Zhu, W., Zhang, C., Yao, S., Gao, X. & Han, J., Jan 1 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
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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
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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
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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
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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
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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
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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
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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, , 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 -
Automated Phrase Mining from Massive Text Corpora
Shang, J., Liu, J., Jiang, M., Ren, X., Voss, C. R. & Han, J., Oct 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 10, p. 1825-1837 13 p., 8306825.Research output: Contribution to journal › Article › peer-review
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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
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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
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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
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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
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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
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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
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ClaimVerif: A real-time claim verification system using the web and fact databases
Zhi, S., Sun, Y., Liu, J., Zhang, C. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2555-2558 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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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
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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
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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
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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
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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
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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
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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
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Collection-based sparse label propagation and its application on social group suggestion from photos
Yu, J., Jin, X., Han, J. & Luo, J., Feb 1 2011, In: ACM Transactions on Intelligent Systems and Technology. 2, 2, 12.Research output: Contribution to journal › Article › peer-review
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Collective Multi-type Entity Alignment between Knowledge Graphs
Zhu, Q., Wei, H., Sisman, B., Zheng, D., Faloutsos, C., Dong, X. L. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2241-2252 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 -
Collective topic modeling for heterogeneous networks
Deng, H., Zhao, B. & Han, J., 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. 1109-1110 2 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
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Community distribution outlier detection in heterogeneous information networks
Gupta, M., Gao, J. & Han, J., Oct 31 2013, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 1 ed. p. 557-573 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8188 LNAI, no. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Comparative document analysis for large text corpora
Ren, X., Lv, Y., Wang, K. & Han, J., Feb 2 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 325-334 10 p. (WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection
Gao, J., Fan, W., Turaga, D., Verscheure, O., Meng, X., Su, L. & Han, J., Aug 2 2011, 2011 Proceedings IEEE INFOCOM. p. 181-185 5 p. 5934982. (Proceedings - IEEE INFOCOM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Constrained information-theoretic tripartite graph clustering to identify semantically similar relations
Wang, C., Song, Y., Roth, D., Wang, C., Han, J., Ji, H. & Zhang, M., Jan 1 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3882-3889 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution