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  • Conference contribution

    Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature

    Wang, X., Song, X., Li, B., Zhou, K., Li, Q. & Han, J., Dec 16 2020, Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020. Park, T., Cho, Y-R., Hu, X. T., Yoo, I., Woo, H. G., Wang, J., Facelli, J., Nam, S. & Kang, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 491-494 4 p. 9313126. (Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020).

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

    Open Access
  • FreeSpan: Frequent pattern-projected sequential pattern mining

    Han, J., Pei, J., Mortazavi-Asl, B., Chen, Q., Dayal, U. & Hsu, M. C., Dec 1 2000, Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Ramakrishnan, R., Stolfo, S., Bayardo, R., Parsa, I., Ramakrishnan, R., Stolfo, S., Bayardo, R. & Parsa, I. (eds.). p. 355-359 5 p. (Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • From truth discovery to trustworthy opinion discovery: An uncertainty-aware quantitative modeling approach

    Wan, M., Chen, X., Kaplan, L., Han, J., Gao, J. & Zhao, B., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1885-1894 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 proceedingConference contribution

  • FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams

    Zhu, W., Gong, H., Shen, J., Zhang, C., Shang, J., Bhat, S. & Han, J., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer, p. 617-632 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12459 LNAI).

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

  • GAD: General Activity Detection for fast clustering on large data

    Xin, J., Sangkyum, K., Jiawei, H., Liangliang, C. & Zhijun, Y., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. p. 1-12 12 p. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; vol. 1).

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

  • gApprox: Mining frequent approximate patterns from a massive network

    Chen, C., Yan, X., Zhu, F. & Han, J., 2007, Proceedings of the 7th IEEE International Conference on Data Mining, ICDM 2007. p. 445-450 6 p. 4470271. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Generalization and decision tree induction: efficient classification in data mining

    Kamber, M., Winstone, L., Gong, W., Cheng, S. & Han, J., 1997, Proceedings of the IEEE International Workshop on Research Issues in Data Engineering. Scheuermann, P. (ed.). IEEE, p. 111-120 10 p.

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

  • Generalized decision aggregation in distributed sensing systems

    Su, L., Li, Q., Hu, S., Wang, S., Gao, J., Liu, H., Abdelzaher, T. F., Han, J., Liu, X., Gao, Y. & Kaplan, L., Jan 14 2015, Proceedings - IEEE 35th Real-Time Systems Symposium, RTSS 2014. January ed. Institute of Electrical and Electronics Engineers Inc., p. 1-10 10 p. 7010369. (Proceedings - Real-Time Systems Symposium; vol. 2015-January, no. January).

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

  • Generating Representative Headlines for News Stories

    Gu, X., Mao, Y., Han, J., Liu, J., Wu, Y., Yu, C., Finnie, D., Yu, H., Zhai, J. & Zukoski, N., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 1773-1784 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

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

  • Generation-augmented retrieval for open-domain question answering

    Mao, Y., He, P., Liu, X., Shen, Y., Gao, J., Han, J. & Chen, W., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4089-4100 12 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

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

  • GeoAttn: Localization of social media messages via attentional memory network

    Li, S., Zhang, C., Lei, D., Li, J. & Han, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 64-72 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

    Open Access
  • GeoBurst: Real-time local event detection in geo-tagged tweet streams

    Zhang, C., Zhou, G., Yuan, Q., Zhuang, H., Zheng, Y., Kaplan, L., Wang, S. & Han, J., Jul 7 2016, SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 513-522 10 p. (SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Geo-friends recommendation in GPS-based cyber-physical social network

    Yu, X., Pan, A., Tang, L. A., Li, Z. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 361-368 8 p. 5992600. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Geographical topic discovery and comparison

    Yin, Z., Cao, L., Han, J., Zhai, C. & Huang, T. S., Dec 1 2011, Proceedings of the 20th International Conference on World Wide Web, WWW 2011. p. 247-256 10 p. (Proceedings of the 20th International Conference on World Wide Web, WWW 2011).

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

  • gIceberg: Towards iceberg analysis in large graphs

    Li, N., Guan, Z., Ren, L., Wu, J., Han, J. & Yan, X., 2013, ICDE 2013 - 29th International Conference on Data Engineering. p. 1021-1032 12 p. 6544894. (Proceedings - International Conference on Data Engineering).

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

  • GIN: A clustering model for capturing dual heterogeneity in networked data

    Liu, J., Wang, C., Gao, J., Gu, Q., Aggarwal, C., Kaplan, L. & Han, J., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 388-396 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

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

    Open Access
  • GMove: Group-level mobility modeling using geo-tagged social media

    Zhang, C., Zhang, K., Yuan, Q., Zhang, L., Hanratty, T. & 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. 1305-1314 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 proceedingConference contribution

  • gPrune: A constraint pushing framework for graph pattern mining

    Zhu, F., Yan, X., Han, J. & Allen, G. D., 2007, Advances in Knowledge Discovery and Data Mining - 11th Pacific-Asia Conference, PAKDD 2007, Proceedings. Springer, p. 388-400 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4426 LNAI).

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

  • Graph-based consensus maximization among multiple supervised and unsupervised models

    Gao, J., Liang, F., Fan, W., Sun, Y. & Han, J., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 585-593 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

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

  • Graph Clustering with Embedding Propagation

    Yang, C., Liu, L., Liu, M., Wang, Z., Zhang, C. & Han, J., Dec 10 2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 858-867 10 p. 9378031. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).

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

  • Graph cube: On warehousing and OLAP multidimensional networks

    Zhao, P., Li, X., Xin, D. & Han, J., Jul 11 2011, Proceedings of SIGMOD 2011 and PODS 2011. p. 853-864 12 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Graph OLAP: Towards online analytical processing on graphs

    Chen, C., Yan, X., Zhu, F., Han, J. & Yu, P. S., Dec 1 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 103-112 10 p. 4781105. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Graph regularized meta-path based transductive regression in heterogeneous information network

    Wan, M., Ouyang, Y., Kaplan, L. & Han, J., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 918-926 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

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

    Open Access
  • Graph regularized transductive classification on heterogeneous information networks

    Ji, M., Sun, Y., Danilevsky, M., Han, J. & Gao, J., 2010, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Proceedings. PART 1 ed. p. 570-586 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6321 LNAI, no. PART 1).

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

  • Growing parallel paths for entity-page discovery

    Weninger, T., Fumarola, F., Lin, C. X., Barber, R., Han, J. & Malerba, D., 2011, Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011. p. 145-146 2 p. (Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011).

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

  • gSpan: Graph-based substructure pattern mining

    Yan, X. & Han, J., Dec 1 2002, Proceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002. p. 721-724 4 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion

    Huang, J., Xie, Y., Meng, Y., Shen, J., Zhang, Y. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2188-2198 11 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
  • Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts

    Ren, X., Wang, Y., Yu, X., Yan, J., Chen, Z. & Han, J., 2014, WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 23-32 10 p. (WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining).

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

  • Heterogeneous learner for web page classification

    Yu, H., Chang, K. C. C. & Han, J., Dec 1 2002, Proceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002. p. 538-545 8 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Heterogeneous supervision for relation extraction: A representation learning approach

    Liu, L., Ren, X., Zhu, Q., Gui, H., Zhi, S., Ji, H. & Han, J., Jan 1 2017, EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 46-56 11 p. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    Open Access
  • Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks

    Su, L., Gao, J., Yang, Y., Abdelzaher, T. F., Ding, B. & Han, J., Dec 19 2011, SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. p. 40-53 14 p. (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems).

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

  • Hierarchical Metadata-Aware Document Categorization under Weak Supervision

    Zhang, Y., Chen, X., Meng, Y. & Han, J., Aug 3 2021, WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 770-778 9 p. (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining).

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

  • Hierarchical text classification with reinforced label assignment

    Mao, Y., Tian, J., Han, J. & Ren, X., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 445-455 11 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

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

  • Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

    Meng, Y., Zhang, Y., Huang, J., Zheng, Y., Zhang, C. & 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. 1908-1917 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
  • Hierarchical web-page clustering via in-page and cross-page link structures

    Lin, C. X., Yu, Y., Han, J. & Liu, B., Dec 1 2010, Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings. PART 2 ed. p. 222-229 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6119 LNAI, no. PART 2).

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

  • HiExpan: Task-guided taxonomy construction by hierarchical tree expansion

    Shen, J., Wu, Z., Lei, D., Zhang, C., Ren, X., Vanni, M. T., Sadler, B. 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. 2180-2189 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
  • HiGitClass: Keyword-driven hierarchical classification of github repositories

    Zhang, Y., Xu, F. F., Li, S., Meng, Y., Wang, X., Li, Q. & Han, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 876-885 10 p. 8970799. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

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

  • H-mine: Hyper-structure mining of frequent patterns in large databases

    Pei, J., Han, J., Lu, H., Nishio, S., Tang, S. & Yang, D., 2001, Proceedings - 2001 IEEE International Conference on Data Mining, ICDM'01. p. 441-448 8 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Homomorphic tree embeddings and their applications to recursive program optimization

    Lakshmanan, L. V. S., Ashraf, K. & Han, J., Jan 1 1993, Logic in Computer Science. Publ by IEEE, p. 344-352 9 p. (Proceedings - Symposium on Logic in Computer Science).

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

  • How bayesians debug

    Liu, C., Lian, Z. & Han, J., 2006, Proceedings - Sixth International Conference on Data Mining, ICDM 2006. p. 382-393 12 p. 4053065. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • How does knowledge discovery cooperate with active database techniques controlling dynamic environment?

    Kawano, H., Nishio, S., Han, J. & Hasegawa, T., Jan 1 1994, Database and Expert Systems Applications - 5th International Conference, DEXA 1994, Proceedings. Karagiannis, D. (ed.). Springer, p. 370-379 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 856 LNCS).

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

  • HyLiEn: A hybrid approach to general list extraction on the web

    Fumarola, F., Weninger, T., Barber, R., Malerba, D. & Han, J., 2011, Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011. p. 35-36 2 p. (Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011).

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

  • Identifying semantically deviating outlier documents

    Zhuang, H., Wang, C., Tao, F., Kaplan, L. & Han, J., Jan 1 2017, EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 2748-2757 10 p. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    Open Access
  • I know you'll be back: Interpretable new user clustering and churn prediction on a mobile social application

    Yang, C., Shi, X., Luo, 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. 914-922 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Image clustering with tensor representation

    He, X., Cai, D., Liu, H. & Han, J., Dec 1 2005, Proceedings of the 13th ACM International Conference on Multimedia, MM 2005. p. 132-140 9 p. (Proceedings of the 13th ACM International Conference on Multimedia, MM 2005).

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

  • Incorporating world knowledge to document clustering via heterogeneous information networks

    Wang, C., Song, Y., El-Kishky, A., Roth, D., Zhang, M. & 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. 1215-1224 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

  • Incremental clustering for trajectories

    Li, Z., Lee, J. G., Li, X. & Han, J., 2010, Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. PART 2 ed. p. 32-46 15 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

  • Incremental processing of logic database relations

    Huang, Y. N., Dahl, V. & Han, J., 1994, Methodologies for Intelligent Systems - 8th International Symposium, ISMIS 1994, Proceedings. Ras, Z. W. & Zemankova, M. (eds.). Springer, p. 561-570 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 869 LNAI).

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

  • IncSpan: Incremental mining of sequential patterns in large database

    Cheng, H., Yan, X. & Han, J., Dec 1 2004, KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Kohavi, R., Gehrke, J., DuMouchel, W. & Ghosh, J. (eds.). p. 527-532 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

  • Indexing noncrashing failures: A dynamic program slicing-based approach

    Liu, C., Zhang, X., Han, J., Zhang, Y. & Bhargava, B. K., 2007, ICSM 2007 - Proceedings of the 2007 IEEE International Conference on Software Maintenance. p. 455-464 10 p. 4362658. (IEEE International Conference on Software Maintenance, ICSM).

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