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• Article

  Pathsim: Meta path-based top-k similarity search in heterogeneous information networks

  Sun, Y., Han, J., Yan, X., Yu, P. S. & Wu, T., Aug 2011, In: Proceedings of the VLDB Endowment. 4, 11, p. 992-1003 12 p.

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

  • Heterogeneous networks
  • Search engines
  • Semantics
  • Query processing
  • Experiments

• 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

• Power-based diagnosis of node silence in remote high-end sensing systems

  Yang, Y., Su, L., Khan, M., LeMay, M., Abdelzaher, T. & Han, J., Dec 2014, In: ACM Transactions on Sensor Networks. 11, 2, 33.

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

  • Sensor networks
  • Health
  • Electric power utilization
  • Radio systems
  • Sensor nodes

• 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

• Reinforced similarity integration in image-rich information networks

  Jin, X., Luo, J., Yu, J., Wang, G., Joshi, D. & Han, J., 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 2, p. 448-460 13 p., 6081863.

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

  • Websites
  • Recommender systems
  • Information retrieval
  • Internet

• Revealing density-based clustering structure from the core-connected tree of a network

  Huang, J., Sun, H., Song, Q., Deng, H. & Han, J., Aug 1 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 8, p. 1876-1889 14 p., 6200274.

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

  • Specifications
  • Experiments

• 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

• Splitter: Mining finegrained sequential patterns in semantic trajectories

  Zhang, C., Han, J., Shou, L., Lu, J. & Porta, T. L., 2014, In: Proceedings of the VLDB Endowment. 7, 9, p. 769-780 12 p.

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

  • Trajectories
  • Semantics
  • Urban planning
  • Marketing
  • Experiments

• The environmental-data automated track annotation (Env-DATA) system: Linking animal tracks with environmental data

  Dodge, S., Bohrer, G., Weinzierl, R., Davidson, S. C., Kays, R., Douglas, D., Cruz, S., Han, J., Brandes, D. & Wikelski, M., Jul 3 2013, In: Movement Ecology. 1, 1, 3.

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

  • environmental data
  • remote sensing
  • animal
  • Phoebastria
  • weather

• The parallel path framework for entity discovery on the Web

  Weninger, T., Johnston, T. J. & Han, J., Oct 21 2013, In: ACM Transactions on the Web. 7, 3, 16.

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

  • Websites
  • Electronic mail
  • World Wide Web
  • Agglomeration

• 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

• Troubleshooting interactive complexity bugs in wireless sensor networks using data mining techniques

  Khan, M. M. H., Khac Le, H., Ahmadi, H., Abdelzaher, T. F. & Han, J., Jan 2014, In: ACM Transactions on Sensor Networks. 10, 2, 2530290.

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

  • Data mining
  • Wireless sensor networks
  • Hazards and race conditions
  • Network protocols
  • Scalability

• Trustworthiness analysis of sensor data in cyber-physical systems

  Tang, L. A., Yu, X., Kim, S., Gu, Q., Han, J., Leung, A. & La Porta, T., May 2013, In: Journal of Computer and System Sciences. 79, 3, p. 383-401 19 p.

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

  • Trustworthiness
  • Sensor
  • Cyber Physical System
  • Sensor Networks
  • Sensors

• 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

  Frequent pattern mining

  Aggarwal, C. C. & Han, J., Jul 1 2014, Springer International Publishing. 471 p.

  Research output: Book/Report/Conference proceeding › Book

  • Students
  • Computer science
  • Big data
  • Industry

• 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

  Active learning: A survey

  Aggarwal, C. C., Kong, X., Gu, Q., Han, J. & Yu, P. S., Jan 1 2014, Data Classification: Algorithms and Applications. CRC Press, p. 571-605 35 p.

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

  • Active Learning
  • Problem-Based Learning
  • Node
  • Labels
  • Social Networks

• 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

  • Anomaly detection
  • Intrusion detection
  • Explosions
  • Health
  • Monitoring

• 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

• 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

  • Sensor networks
  • Data mining

• 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

  • Radio frequency identification (RFID)
  • Information management
  • Logistics
  • Sensors
  • Costs

• 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

• Mining graph patterns

  Cheng, H., Yan, X. & Han, J., Jul 1 2014, Frequent Pattern Mining. Springer International Publishing, Vol. 9783319078212. p. 307-338 32 p.

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

  • Bioinformatics
  • Electric network analysis
  • Computer vision

• Pattern-growth methods

  Han, J. & Pei, J., Jul 1 2014, Frequent Pattern Mining. Springer International Publishing, Vol. 9783319078212. p. 65-81 17 p.

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

  • Pattern recognition
  • Data mining
  • Data structures
  • Data storage equipment

• Probabilistic models for classification

  Deng, H., Sun, Y., Chang, Y. & Han, J., Jan 1 2014, Data Classification: Algorithms and Applications. CRC Press, p. 65-86 22 p.

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

  • Probabilistic Model
  • Statistical Models
  • Labels
  • Electronic mail
  • Supervised learning

• Sequential pattern mining

  Shen, W., Wang, J. & Han, J., Jul 1 2014, Frequent Pattern Mining. Springer International Publishing, Vol. 9783319078212. p. 261-282 22 p.

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

  • Data mining

• 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

  A confidence-aware approach for truth discovery on long-tail data

  Li, Q., Li, Y., Gao, J., Su, L., Zhao, B., Demirbas, M., Fan, W. & Han, J., Dec 2014, In: Proceedings of the VLDB Endowment. 8, 4, p. 425-436 12 p.

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

  • Experiments

• 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

  • Classifiers
  • Support vector machines

• 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

• 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

  • Support Vector Machine
  • Support vector machines
  • kernel
  • Classifier
  • Regularization

• 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

• Constructing topical hierarchies in heterogeneous information networks

  Wang, C., Danilevsky, M., Liu, J., Desai, N., Ji, H. & Han, J., 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 767-776 10 p., 6729561.

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

  • Heterogeneous networks
  • Clustering algorithms
  • Industry
  • Experiments

• 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

• Robust tensor decomposition with gross corruption

  Gu, Q., Gui, H. & Han, J., Jan 1 2014, In: Advances in Neural Information Processing Systems. 2, January, p. 1422-1430 9 p.

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

  • Tensors
  • Decomposition
  • Error analysis
  • Experiments

• Scalable topical phrase mining from text corpora

  ElKishky, A., Song, Y., Wangx, C., Voss, C. R. & Han, J., Nov 2014, In: Proceedings of the VLDB Endowment. 8, 3, p. 305-316 12 p.

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

  • Scalability
  • Costs

• Semantic frame-based document representation for comparable corpora

  Kim, H., Ren, X., Sun, Y., Wang, C. & Han, J., Dec 1 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 350-359 10 p., 6729519.

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

  • Radiation
  • Semantics
  • Text processing
  • Conveying
  • Experiments

• Spherical text embedding

  Meng, Y., Huang, J., Wang, G., Zhang, C., Zhuang, H., Kaplan, L. & Han, J., 2019, In: Advances in Neural Information Processing Systems. 32

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

• 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

• Unsupervised link selection in networks

  Gu, Q., Aggarwal, C. & Han, J., 2013, In: Journal of Machine Learning Research. 31, p. 298-306 9 p.

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

  • Feature extraction
  • Machine learning
  • Experiments
  • Community Structure
  • Quality Measures
• 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

• A hierarchical Dirichlet model for taxonomy expansion for search engines

  Wang, J., Kang, C., Chang, Y. & Han, J., Apr 7 2014, WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, p. 961-970 10 p. (WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web).

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

  • Taxonomies
  • Search engines
  • Navigation systems
  • World Wide Web
  • Industry