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• Article

  Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease

  Liem, D. A., Murali, S., Sigdel, D., Shi, Y., Wang, X., Shen, J., Choi, H., Caufield, J. H., Wang, W., Ping, P. & Han, J., Oct 2018, In: American Journal of Physiology - Heart and Circulatory Physiology. 315, 4, p. H910-H924

  Research output: Contribution to journal › Article › peer-review

  • Extracellular Matrix Proteins
  • Data Analysis
  • Cardiovascular Diseases
  • Proteins
  • Extracellular Matrix

• Predicting future popularity trend of events in microblogging platforms

  Gupta, M., Gao, J., Zhai, C. X. & Han, J., 2012, In: Proceedings of the ASIST Annual Meeting. 49, 1

  Research output: Contribution to journal › Article › peer-review

  • popularity
  • Time series analysis
  • event
  • Recommender systems
  • Sports

• RankCompete: Simultaneous ranking and clustering of information networks

  Cao, L., Jin, X., Yin, Z., Del Pozo, A., Luo, J., Han, J. & Huang, T. S., Oct 15 2012, In: Neurocomputing. 95, p. 98-104 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Information Services
  • Cluster Analysis
  • Bibliographies
  • Walkers
  • Bibliography

• Recurring and novel class detection using class-based ensemble for evolving data stream

  Al-Khateeb, T., Masud, M. M., Al-Naami, K. M., Seker, S. E., Mustafa, A. M., Khan, L., Trabelsi, Z., Aggarwal, C. & Han, J., Oct 2016, In: IEEE Transactions on Knowledge and Data Engineering. 28, 10, p. 2752-2764 13 p., 7350165.

  Research output: Contribution to journal › Article › peer-review

• Relation strength-aware clustering of heterogeneous information networks with incomplete attributes

  Sun, Y., Aggarwal, C. C. & Han, J., Jan 2012, In: Proceedings of the VLDB Endowment. 5, 5, p. 394-405 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Cyber Physical System
  • Clustering algorithms
  • Statistical Models
  • Labels
  • Semantics

• 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

  • Statistical Models

• Socialspamguard: A data miningbased spam detection system for social media networks

  Jin, X., Lin, C. X., Luo, J. & Han, J., Aug 2011, In: Proceedings of the VLDB Endowment. 4, 12, p. 1458-1461 4 p.

  Research output: Contribution to journal › Article › peer-review

  • Problem-Based Learning
  • Network security
  • Search engines
  • Clustering algorithms
  • Learning algorithms

• 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

  • Discriminant analysis
  • Hilbert spaces
  • Eigenvalues and eigenfunctions
  • Spectrum analysis
  • Decomposition

• 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

  • Sensor nodes
  • Agglomeration
  • Labels
  • Decision making
  • Availability

• Uncertainty reduction for knowledge discovery and information extraction on the world wide web

  Ji, H., Deng, H. & Han, J., 2012, In: Proceedings of the IEEE. 100, 9, p. 2658-2674 17 p., 6212297.

  Research output: Contribution to journal › Article › peer-review

  • World Wide Web
  • Data mining
  • Uncertainty

• 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

  • Semantics
  • Costs
  • Experiments

• World knowledge as indirect supervision for document clustering

  Wang, C., Song, Y., Roth, D., Zhang, M. & Han, J., Dec 2016, In: ACM Transactions on Knowledge Discovery from Data. 11, 2, 13.

  Research output: Contribution to journal › Article › peer-review

  • Semantics
  • Clustering algorithms
  • Experiments
  • Linguistics
  • Machine learning
• Book

  Data Mining: Concepts and Techniques

  Han, J., Kamber, M. & Pei, J., Jan 1 2012, Elsevier Inc.

  Research output: Book/Report/Conference proceeding › Book

  • Data mining
  • Acoustic waves
  • Data warehouses
  • Data Analytics
  • Websites

• Mining software specifications: Methodologies and applications

  Lo, D., Khoo, S. C., Han, J. & Liu, C., Jan 1 2011, CRC Press. 433 p.

  Research output: Book/Report/Conference proceeding › Book

  • Specifications
  • Computer software maintenance
  • Software reliability
  • Data mining
  • Software engineering
• Chapter

  Applications of pattern discovery using sequential data mining

  Gupta, M. & Han, J., 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

  • telecommunication
  • Healthcare
  • event
  • education

• Approaches for pattern discovery using sequential data mining

  Gupta, M. & Han, J., 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

  • literature

• Efficient direct mining of selective discriminative patterns for classification

  Cheng, H., Han, J., Yan, X. & Yu, P. S., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. 39-58 20 p.

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

• Probabilistic models for text mining

  Sun, Y., Deng, H. & Han, J., Aug 1 2012, Mining Text Data. Springer US, Vol. 9781461432234. p. 259-295 37 p.

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

  • Statistical Models
  • Modeling languages
  • Hidden Markov models

• 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

  • Computer software maintenance
  • Specifications
  • Legacy systems
  • Costs
  • Computer science

• 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

  • Crowdsourcing
  • Agglomeration
  • Big data
  • Websites
  • Data acquisition
• Conference article

  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

  • Proteins
  • Genes
  • Biological Ontologies
  • Natural Language Processing
  • Set theory

• Collaborative multi-level embedding learning from reviews for rating prediction

  Wei, Z., Yuan, Q., Han, J. & Jianyong, W., Jan 1 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 2986-2992 7 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Factorization

• Learning hostname preference to enhance search relevance

  Wang, J., Kang, C., Chang, Y. & Han, J., Jan 1 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 3903-3909 7 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Electric sparks
  • Parallel algorithms

• Locality preserving feature learning

  Gu, Q., Danilevsky, M., Li, Z. & Han, J., Jan 1 2012, In: Journal of Machine Learning Research. 22, p. 477-485 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Linear transformations
  • Locality
  • Learning
  • Indexing
  • Integer programming

• Mining knowledge from data: An information network analysis approach

  Han, J., Sun, Y., Yan, X. & Yu, P. S., Jul 30 2012, In: Proceedings - International Conference on Data Engineering. p. 1214-1217 4 p., 6228171.

  Research output: Contribution to journal › Conference article › peer-review

  • Electric network analysis
  • Data mining
  • Students

• Mining Structures from Massive Text Data: A Data-Driven Approach

  Han, J., 2017, In: CEUR Workshop Proceedings. 2029, p. 16-19 4 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Big data

• Multidimensional analysis of atypical events in cyber-physical data

  Tang, L. A., Yu, X., Kim, S., Han, J., Peng, W. C., Sun, Y., Gonzalez, H. & Seith, S., 2012, In: Proceedings - International Conference on Data Engineering. p. 1025-1036 12 p., 6228153.

  Research output: Contribution to journal › Conference article › peer-review

  • Cyber Physical System
  • Clustering algorithms
  • Macros
  • Sensor networks
  • Cameras

• On discovery of traveling companions from streaming trajectories

  Tang, L. A., Zheng, Y., Yuan, J., Han, J., Leung, A., Hung, C. C. & Peng, W. C., 2012, In: Proceedings - International Conference on Data Engineering. p. 186-197 12 p., 6228083.

  Research output: Contribution to journal › Conference article › peer-review

  • Trajectories
  • Data structures
  • Monitoring
  • Costs
  • Experiments

• 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

  • Data Science
• Conference contribution

  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

  • Problem-Based Learning
  • Labels
  • Labeling
  • Machine learning
  • Costs

• 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

  • Feedback
  • Chemical analysis
  • Experiments

• 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

  • Discriminators
  • Social sciences
  • Anomaly detection
  • Sampling

• AFET: Automatic fine-grained entity typing by hierarchical partial-label embedding

  Ren, X., He, W., Qu, M., Huang, L., Ji, H. & Han, J., 2016, EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 1369-1378 10 p. (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

  Open Access

  • Labels
  • Experiments

• Analysis and refinement of cross-lingual entity linking

  Cassidy, T., Ji, H., Deng, H., Zheng, J. & Han, J., 2012, Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings. p. 1-12 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7488 LNCS).

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

  • Text processing
  • Linking
  • Machine Translation
  • Refinement
  • Information Extraction

• 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

  • Node
  • Proximity
  • Voting
  • Vote

• 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

  • Demonstrations
  • Tsunamis
  • Sensors
  • Application programming interfaces (API)
  • Data mining

• A simple algorithm for semi-supervised learning with improved generalization error bound

  Ji, M., Yang, T., Lin, B., Jin, R. & Han, J., Oct 10 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 1223-1230 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 2).

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

  • Supervised learning
  • regression
  • Eigenvalues and eigenfunctions
  • Linear regression
  • learning

• 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

  • Anomaly detection
  • Decomposition

• A spherical hidden Markov model for semantics-rich human mobility modeling

  Zhu, W., Zhang, C., Yao, S., Gao, X. & Han, J., 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

  • Hidden Markov models
  • Semantics
  • Bessel functions
  • Newton-Raphson method
  • Global positioning system

• 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

  • Sensors
  • Wavelet transforms
  • Time series
  • Experiments

• 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

  • Syntactics
  • Computational complexity
  • Experiments

• 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, McCallum, A. & 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. 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

  • Anomaly detection
  • Taxonomies

• 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

  • Knowledge management
  • Labels
  • Data mining

• Automatic entity recognition and typing in massive text data

  Ren, X., El-Kishky, A., Ji, H. & Han, J., Jun 26 2016, SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery, p. 2235-2239 5 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. 26-June-2016).

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

  • Knowledge management
  • Labels
  • Data mining

• 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

  • Fruits
  • Learning systems
  • Supervised learning
  • Data mining
  • Statistics

• 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

  • Specifications

• BlueFinder: Estimate where a beach photo was taken

  Cao, L., Smith, J., Wen, Z., Yin, Z., Jin, X. & Han, J., May 21 2012, WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion. p. 469-470 2 p. (WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion).

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

  • Beaches
  • Iterative methods
  • Classifiers

• 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

  • Collaborative filtering
  • Supervised learning
  • Recommender systems
  • Factorization
  • Industry

• 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

  • Data mining
  • Semantics
  • Global positioning system
  • Mobile computing

• Building enriched web page representations using link paths

  Weninger, T., Zhai, C. & Han, J., Jul 25 2012, HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media. p. 53-62 10 p. (HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media).

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

  • Anchors
  • Websites
  • Search engines
  • World Wide Web