Find Research outputs

Search results

• 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 proceeding › Conference contribution

  • Semantics
  • Screening
  • Health
  • Experiments

• 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 proceeding › Conference contribution

  • Pipelines
  • Competitive intelligence
  • Online systems
  • Deep learning
  • Experiments

• 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 proceeding › Conference contribution

  • Clustering algorithms
  • Linguistics
  • Experiments

• Indirect supervision for relation extraction using question-answer pairs

  Wu, Z., Ren, X., Xu, F. F., Li, J. & Han, J., Feb 2 2018, WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 646-654 9 p. (WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining; vol. 2018-Febuary).

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

  • Public relations
  • Semantics
  • Labeling
  • Feedback

• Individualized knowledge graph: a viable informatics path to precision medicine

  Ping, P., Watson, K., Han, J. & Bui, A., Mar 31 2017, In: Circulation Research. 120, 7, p. 1078-1080 3 p.

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

• Inferring human mobility patterns from taxicab location traces

  Ganti, R., Srivatsa, M., Ranganathan, A. & Han, J., 2013, UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. p. 459-468 10 p. (UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

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

  • Taxicabs
  • Pickups
  • Urban planning
  • Graph theory
  • Hidden Markov models

• Integrating community matching and outlier detection for mining evolutionary community outliers

  Gupta, M., Gao, J., Sun, Y. & Han, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 859-867 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

  • Anomaly detection

• Integrating local context and global cohesiveness for open information extraction

  Zhu, Q., Ren, X., Shang, J., Zhang, Y., El-Kishky, A. & Han, J., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 42-50 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

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

  • Statistics
  • Experiments

• Integrating meta-path selection with user-guided object clustering in heterogeneous information networks

  Sun, Y., Norick, B., Han, J., Yan, X., Yu, P. S. & Yu, X., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 1348-1356 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

  • Seed
  • Semantics
  • Experiments

• IntruMine: Mining intruders in untrustworthy data of cyber-physical systems

  Tang, L. A., Gu, Q., Yu, X., Han, J., La Porta, T., Leung, A., Abdelzaher, T. & Kaplan, L., Dec 1 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. p. 600-611 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

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

  • Cyber Physical System
  • Monitoring
  • Sensors
  • Traffic control
  • Experiments

• Investigating rumor news using agreement-aware search

  Shang, J., Shen, J., Sun, T., Liu, X., Gruenheid, A., Korn, F., Lelkes, D., Yu, C. & Han, J., Oct 17 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 2117-2126 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Rumor
  • News
  • Key Words
  • Recurrent Neural Networks
  • Gradient

• Is objective function the silver bullet? A case study of community detection algorithms on social networks

  Yang, Y., Sun, Y., Pandit, S., Chawla, N. V. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 394-397 4 p. 5992630. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Heterogeneous networks

• Joint feature selection and subspace learning

  Gu, Q., Li, Z. & Han, J., Dec 1 2011, IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. p. 1294-1299 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Feature extraction
  • Face recognition
  • Machine learning
  • Set theory
  • Experiments

• KnowEnG: A knowledge engine for genomics

  Sinha, S., Song, J., Weinshilboum, R., Jongeneel, V. & Han, J., 2015, In: Journal of the American Medical Informatics Association. 22, 6, p. 1115-1119 5 p.

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

  • Genomics
  • Big Data
  • Datasets
  • Data Mining
  • Knowledge Bases

• Laplacian regularized Gaussian mixture model for data clustering

  He, X., Cai, D., Shao, Y., Bao, H. & Han, J., Jun 21 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 9, p. 1406-1418 13 p., 5677520.

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

  • Probability distributions
  • Gaussian distribution
  • Maximum likelihood
  • Statistical Models
  • Geometry

• Large-scale embedding learning in heterogeneous event data

  Gui, H., Liu, J., Tao, F., Jiang, M., Norick, B. & Han, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 907-912 6 p. 7837924. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Experiments

• Large-scale spectral clustering on graphs

  Liu, J., Wang, C., Danilevsky, M. & Han, J., Dec 1 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1486-1492 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Clustering algorithms
  • Experiments

• Latent community topic analysis: Integration of community discovery with topic modeling

  Yin, Z., Cao, L., Gu, Q. & Han, J., Sep 2012, In: ACM Transactions on Intelligent Systems and Technology. 3, 4, 63.

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

  • Community
  • Modeling
  • Text
  • Community Structure
  • Graph in graph theory

• Learning a Kernel for multi-task clustering

  Gu, Q., Li, Z. & Han, J., Nov 2 2011, AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. p. 368-373 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 1).

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

  • Hilbert spaces
  • Unsupervised learning
  • Linear programming
  • Experiments

• Learning hierarchical relationships among partially ordered objects with heterogeneous attributes and links

  Wang, C., Han, J., Li, Q., Li, X., Lin, W. P. & Ji, H., 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, p. 516-527 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

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

  • Cleaning
  • Semantics
  • Experiments

• Learning influence from heterogeneous social networks

  Liu, L., Tang, J., Han, J. & Yang, S., Nov 2012, In: Data Mining and Knowledge Discovery. 25, 3, p. 511-544 34 p.

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

  • Heterogeneous networks
  • Marketing
  • Information retrieval
  • Agglomeration

• Learning online discussion structures by conditional random fields

  Wang, H., Wang, C., Zhai, C. X. & Han, J., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 435-444 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

  • Statistical Models
  • Experiments

• Learning relevance from heterogeneous social network and its application in online targeting

  Wang, C., Raina, R., Fong, D., Zhou, D., Han, J. & Badros, G., 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. 655-664 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

  • Marketing
  • Internet

• Learning search tasks in queries and web pages via graph regularization

  Ji, M., Yan, J., Gu, S., Han, J., He, X., Zhang, W. V. & Chen, Z., 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. 55-64 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

  • Websites
  • Search engines
  • Classifiers
  • Internet
  • Experiments

• Learning to efficiently rank on big data

  Wang, L., Lin, J., Metzler, D. & Han, J., Apr 7 2014, WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 1 p. (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).

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

• Leveraging pattern semantics for extracting entities in enterprises

  Tao, F., Zhao, B., Fuxman, A., Li, Y. & Han, J., May 18 2015, WWW 2015 - Proceedings of the 24th International Conference on World Wide Web. Association for Computing Machinery, Inc, p. 1078-1088 11 p. (WWW 2015 - Proceedings of the 24th International Conference on World Wide Web).

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

  • Semantics
  • Industry
  • Seed

• Leveraging periodicity in human mobility for next place prediction

  Prabhala, B., Wang, J., Deb, B., La Porta, T. & Han, J., Nov 10 2014, IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., p. 2665-2670 6 p. 6952829. (IEEE Wireless Communications and Networking Conference, WCNC).

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

  • Set theory

• Liberal entity extraction: Rapid construction of fine-grained entity typing systems

  Huang, L., May, J., Pan, X., Ji, H., Ren, X., Han, J., Zhao, L. & Hendler, J. A., Mar 2017, In: Big Data. 5, 1, p. 19-31 13 p.

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

  • Semantics
  • Knowledge representation
  • Language
  • Clustering algorithms
  • Hierarchical Clustering

• Life-iNet: A structured network-based knowledge exploration and analytics system for life sciences

  Ren, X., Shen, J., Qu, M., Wang, X., Wu, Z., Zhu, Q., Jiang, M., Tao, F., Sinha, S., Liem, D., Ping, P., Weinshilboum, R. & Han, J., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations. Association for Computational Linguistics (ACL), p. 55-60 6 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations).

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

  • Life Sciences
  • life sciences
  • Search engines
  • search engine
  • Tar

• LikeMiner: A system for mining the power of'like'in social media networks

  Jin, X., Wang, C., Luo, J., Yu, X. & Han, J., Sep 16 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. p. 753-756 4 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Websites
  • Heterogeneous networks
  • Fans
  • Internet
  • Industry

• Linear discriminant dimensionality reduction

  Gu, Q., Li, Z. & Han, J., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. PART 1 ed. p. 549-564 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).

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

  • Dimensionality Reduction
  • Discriminant analysis
  • Discriminant
  • Discriminant Analysis
  • Feature Selection

• Link prediction across aligned networks with sparse & low rank matrix estimation

  Zhang, J., Chen, J., Zhi, S., Chang, Y., Yu, P. S. & Han, J., May 16 2017, Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, p. 971-982 12 p. 7930040. (Proceedings - International Conference on Data Engineering).

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

  • Experiments

• 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

• Local learning for mining outlier subgraphs from network datasets

  Gupta, M., Mallya, A., Roy, S., Cho, J. H. D. & Han, J., Jan 1 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Zaki, M. J., Banerjee, A., Parthasarathy, S., Ning-Tan, P., Obradovic, Z. & Kamath, C. (eds.). Society for Industrial and Applied Mathematics Publications, p. 73-81 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 1).

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

  • Data mining

• Locally consistent concept factorization for document clustering

  Cai, D., He, X. & Han, J., 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 6, p. 902-913 12 p., 5567104.

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

  • Factorization
  • Geometry

• Locally discriminative coclustering

  Zhang, L., Chen, C., Bu, J., Chen, Z., Cai, D. & Han, J., 2012, In: IEEE Transactions on Knowledge and Data Engineering. 24, 6, p. 1025-1035 11 p., 5740883.

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

  • Linear regression
  • Clustering algorithms
  • Labels

• LPTA: A probabilistic model for latent periodic topic analysis

  Yin, Z., Cao, L., Han, J., Zhai, C. & Huang, T., Dec 1 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 904-913 10 p. 6137295. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Statistical Models
  • Technical presentations
  • Sales
  • Time series
  • Websites

• MedRank: Discovering influential medical treatments from literature by information network analysis

  Chen, L., Li, X. & Han, J., Jan 1 2013, Proceedings of the 24th Australasian Database Conference, ADC 2013. Wang, H. & Zhang, R. (eds.). Australian Computer Society, p. 3-12 10 p. (Conferences in Research and Practice in Information Technology Series; vol. 137).

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

  • Electric network analysis

• Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

  Yang, C., Feng, Y., Li, P., Shi, Y. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 657-666 10 p. 8594890. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Semantics
  • Embeddings (Algorithms)
  • Graph theory
  • Supervised learning
  • Set theory

• MetaPAD: Meta pattern discovery from massive text corpora

  Jiang, M., Shang, J., Cassidy, T., Ren, X., Kaplan, L. M., Hanratty, T. P. & 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. 877-886 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

  • Experiments

• Meta-path-based search and mining in heterogeneous information networks

  Sun, Y. & Han, J., Aug 2013, In: Tsinghua Science and Technology. 18, 4, p. 329-338 10 p., 06574671.

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

  • Semantics
  • Feedback

• Methods for mining frequent items in data streams: An overview

  Liu, H., Lin, Y. & Han, J., 2011, In: Knowledge and Information Systems. 26, 1, p. 1-30 30 p.

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

  • Cash registers
  • Monitoring
  • Information management
  • Agglomeration
  • Sensor networks

• Mining collective intelligence in diverse groups

  Qi, G. J., Aggarwal, C. C., Han, J. & Huang, T., 2013, WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web. Association for Computing Machinery, p. 1041-1051 11 p. (WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web).

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

  • World Wide Web
  • Statistical Models

• Mining discriminative patterns for classifying trajectories on road networks

  Lee, J. G., Han, J., Li, X. & Cheng, H., 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 5, p. 713-726 14 p., 5560657.

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

  • Trajectories
  • Radio frequency identification (RFID)
  • Global positioning system
  • Data structures
  • Planning

• Mining diversity on social media networks

  Liu, L., Zhu, F., Jiang, M., Han, J., Sun, L. & Yang, S., Jan 2012, In: Multimedia Tools and Applications. 56, 1, p. 179-205 27 p.

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

  • Electric network analysis
  • Websites
  • Availability
  • Semantics
  • Bandwidth

• Mining entity synonyms with efficient neural set generation

  Shen, J., Lyu, R., Ren, X., Vanni, M., Sadler, B. & Han, J., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, p. 249-256 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

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

  • Classifiers
  • Set theory
  • Semantics
  • Experiments

• Mining event periodicity from incomplete observations

  Li, Z., Wang, J. & Han, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 444-452 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

  • Global positioning system
  • Data mining
  • Uncertainty
  • Sensors
  • Experiments

• Mining evidences for named entity disambiguation

  Li, Y., Wang, C., Han, F., Han, J., Roth, D. & Yan, X., 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. 1070-1078 9 p. 2487681. (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

  • Semantics

• Mining flipping correlations from large datasets with taxonomies

  Barsky, M., Kim, S., Weninger, T. & Han, J., Dec 2011, In: Proceedings of the VLDB Endowment. 5, 4, p. 370-381 12 p.

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

  • Large dataset
  • Taxonomies

• 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