Jiawei Han

Search results

• Conference 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 proceeding › Conference contribution

  • Heterogeneous Networks 100%
  • Mining 79%
  • Community 64%
  • Social Network Analysis 42%
  • Electric network analysis 27%

• Mining knowledge from databases: An information network analysis approach

  Han, J., Sun, Y., Yan, X. & Allen, G. D., 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 proceeding › Conference contribution

  • Electric network analysis 100%
  • Data integration 16%
  • Consolidation 14%
  • Cleaning 13%
  • Data storage equipment 8%

• 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 proceeding › Conference contribution

  • Information retrieval 100%
  • Explosions 96%
  • Information management 95%
  • Big data 92%
  • Websites 88%

• 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 proceeding › Conference contribution

  • Cyber Physical System 100%
  • Sand 79%
  • Trajectories 62%
  • Sensors 45%
  • Miners 35%

• 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 proceeding › Conference contribution

  • Proteins 100%
  • Consumer behavior 76%
  • Sampling 38%

• 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 proceeding › Conference 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 proceeding › Conference contribution

• 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 proceeding › Conference contribution

  • Data Cube 100%
  • Gradient 61%
  • Data Sharing 21%
  • Pruning 13%
  • Mutation 10%

• 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 proceeding › Conference contribution

  • Tsunamis 70%
  • Modeling 62%
  • Data structures 43%
  • Experiments 18%
  • Summarization 14%

• 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 proceeding › Conference contribution

  • Hierarchical clustering 100%
  • Autocorrelation 90%
  • Fourier transforms 84%

• 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 proceeding › Conference contribution

  • Mining 100%
  • Sharing 33%
  • Image Mining 32%
  • Experiments 28%
  • Annotation 22%

• 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 proceeding › Conference contribution

  • Marketing 100%

• 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 proceeding › Conference contribution

  • Big data 100%
  • Experiments 39%

• 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 proceeding › Conference contribution

  • Tuning 37%
  • Experiments 17%

• 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 proceeding › Conference contribution

  • Crowdsourcing 100%
  • Agglomeration 24%

• 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 proceeding › Conference contribution

  • Complex networks 100%
  • Data structures 80%
  • Graph structures 60%
  • Data reduction 57%
  • Proteins 44%

• 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 proceeding › Conference contribution

  • Data mining 100%

• 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 proceeding › Conference contribution

  • Data mining 100%
  • Classifiers 85%

• 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 proceeding › Conference contribution

  • Mining 100%
  • Global positioning system 69%
  • Labels 68%
  • Trajectories 55%
  • Moving Objects 29%

• 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 proceeding › Conference contribution

  • Text mining 100%
  • Labels 73%
  • Experiments 15%

• 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 proceeding › Conference contribution

  • Node 100%
  • Social Influence 86%
  • Prediction 57%
  • Viral Marketing 48%
  • Twitter 38%

• 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 proceeding › Conference contribution

  • Association rules 100%

• 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 proceeding › Conference contribution

  • Nearest neighbor search 63%
  • Data mining 39%
  • Experiments 17%

• 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 proceeding › Conference contribution

  • Nearest neighbor search 79%
  • Indexing 75%
  • Video Databases 66%
  • High Accuracy 62%
  • Higher Dimensions 55%

• 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 proceeding › Conference contribution

  • Bibliographies 60%
  • Industry 10%

• 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 proceeding › Conference contribution

  Open Access

  • Entropy 100%

• 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 proceeding › Conference contribution

  • Latent Semantic Indexing 100%
  • Modeling 30%
  • Dirichlet 28%
  • Overfitting 14%
  • Random Variables 10%

• 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

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

  • Computer systems 100%
  • Monitoring 63%
  • Industry 49%

• 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 proceeding › Conference contribution

  • Tuning 100%
  • Experiments 45%

• 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 proceeding › Conference contribution

  • Metadata 100%
  • Classifiers 23%
  • Experiments 6%

• 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 proceeding › Conference contribution

  • Anomaly Detection 100%
  • Moving Objects 93%
  • Movement 46%
  • Anomaly 31%
  • National security 26%

• 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 proceeding › Conference contribution

  • Object-oriented databases 100%
  • Data mining 65%
  • Animals 25%
  • User interfaces 23%
  • Global positioning system 22%

• 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 proceeding › Conference contribution

  • Reinforcement Learning 72%
  • Reinforcement learning 48%
  • Relevance 46%
  • Redundancy 40%
  • Learning 21%

• 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 proceeding › Conference contribution

  • Engines 100%
  • Sensor networks 90%
  • Machine learning 76%
  • Data reduction 61%
  • Image sensors 55%

• 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 proceeding › Conference contribution

  Open Access

  • Engines 100%
  • Graph structures 96%
  • Convolution 77%
  • Graphics processing unit 72%
  • Agglomeration 67%

• 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 proceeding › Conference contribution

  • Non-negative Matrix Factorization 100%
  • Factorization 66%
  • Clustering 63%
  • Clustering algorithms 60%
  • Clustering Algorithm 58%

• 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 proceeding › Conference contribution

  • Mining 100%
  • Mathematical programming 30%
  • Data storage equipment 16%
  • Search Space 11%
  • Deficiency 10%

• 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 proceeding › Conference contribution

  • Arithmetic Coding 100%
  • Steganography 96%
  • Linguistics 62%
  • Cover 31%
  • Substitution reactions 27%

• 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 proceeding › Conference contribution

  Open Access

  • Taxonomies 100%
  • Metadata 18%
  • Data mining 15%
  • Experiments 6%

• 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 proceeding › Conference contribution

  • Sampling 100%
  • Testing 73%
  • Experiments 50%
  • Hazardous materials spills 29%
  • Websites 20%

• Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization

  Yang, C., Zhang, J., Wang, H., Li, B. & Han, J., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 1629-1632 4 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Neural networks 100%
  • Experiments 19%

• Neural embedding propagation on heterogeneous networks

  Yang, C., Zhang, J. & 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. 698-707 10 p. 8970814. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

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

  • Semi-supervised learning 100%
  • Labels 69%
  • Embeddings (Algorithms) 32%
  • Machine learning 19%
  • Experiments 9%

• New Frontiers of Scientific Text Mining: Tasks, Data, and Tools

  Wang, X., Wang, H., Ji, H. & Han, J., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4832-4833 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Text mining 100%
  • Organic Chemistry 37%
  • Molecules 21%

• NewsNetExplorer: Automatic construction and exploration of news information networks

  Tao, F., Brova, G., Han, J., Ji, H., Wang, C., Norick, B., El-Kishky, A., Liu, J., Ren, X. & Sun, Y., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1091-1094 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Natural language processing systems 100%
  • Large dataset 89%
  • Electric network analysis 82%
  • Information retrieval 79%
  • Information technology 72%

• Node, motif and subgraph: Leveraging network functional blocks through structural convolution

  Yang, C., Liu, M., Zheng, V. W. & Han, J., Oct 24 2018, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. Tagarelli, A., Reddy, C. & Brandes, U. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 47-52 6 p. 8508729. (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018).

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

  • Convolution 100%
  • Node 67%
  • Toxicity 42%
  • Graph 40%
  • Proteins 32%

• Non-negative matrix factorization on manifold

  Cai, D., He, X., Wu, X. & Han, J., 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 63-72 10 p. 4781101. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Factorization 100%
  • Graph structures 24%
  • Information retrieval 19%
  • Pattern recognition 17%
  • Computer vision 16%

• Normalization and compilation of deductive and object-oriented database programs for efficient query evaluation

  Xie, Z. & Han, J., 1995, Deductive and Object-Oriented Databases - 4th International Conference, DOOD 1995, Proceedings. Ling, T. W., Mendelzon, A. O. & Vieille, L. (eds.). Springer, p. 485-502 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1013).

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

  • Object-oriented Databases 100%
  • Query Evaluation 94%
  • Compilation 74%
  • Object-oriented databases 71%
  • Normalization 56%

• Normalization of linear recursions in deductive databases

  Han, J., Zeng, K. & Lu, T., 1993, 1993 IEEE 9th International Conference on Data Engineering. Publ by IEEE, p. 559-567 9 p. (Proceedings - International Conference on Data Engineering).

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

  • Intelligent databases 100%

• OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision

  Zhang, X., Zhang, C., Li, X., Dong, X. L., Shang, J., Faloutsos, C. & Han, J., Apr 25 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, p. 3153-3161 9 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).

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

  • Tuning 22%
  • Experiments 10%

• Object distinction: Distinguishing objects with identical names

  Xiaoxin, Y., Jiawei, H. & Allen, G. D., 2007, 23rd International Conference on Data Engineering, ICDE 2007. IEEE Computer Society, p. 1242-1246 5 p. 4221773. (Proceedings - International Conference on Data Engineering).

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

  • Set theory 100%
  • Experiments 55%