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• 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

• 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

• 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

• 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

• 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 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

• 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

• 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

• 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

• 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

• Label noise reduction in entity typing by heterogeneous partial-label embedding

  Ren, X., He, W., Qu, M., Voss, C. R., Ji, H. & 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. 1825-1834 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Noise abatement
  • Labels
  • Semantics

• KnowSim: A document similarity measure on structured heterogeneous information networks

  Wang, C., Song, Y., Li, H., Zhang, M. & 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. 1015-1020 6 p. 7373428. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

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

  • Semantics
  • Experiments

• Knowledge fragment enrichment using domain knowledge base

  Zhang, J., Zhuang, H., Song, Y., Han, J., Zhang, Y., Tang, J. & Li, J., 2016, Social Media Processing - 5th National Conference, SMP 2016, Proceedings. Lin, H., Li, Y., Xiang, G. & Wang, M. (eds.). Springer-Verlag Berlin Heidelberg, p. 274-286 13 p. (Communications in Computer and Information Science; vol. 669).

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

  • Domain Knowledge
  • Knowledge Base
  • Fragment
  • Knowledge
  • Concepts

• 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

• 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

• 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

• 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

• 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 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

• 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

• 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

• 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

• 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

• 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

• 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

• HiGitClass: Keyword-driven hierarchical classification of github repositories

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

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

  • Labels

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

  Shen, J., Wu, Z., Lei, D., Zhang, C., Ren, X., Vanni, M. T., Sadler, B. M. & Han, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2180-2189 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Taxonomies
  • Seed

• Heterogeneous supervision for relation extraction: A representation learning approach

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

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

  • Labels

• Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts

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

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

  • Websites
  • Learning algorithms
  • Industry
  • Experiments

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

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

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

  Open Access

  • Heterogeneous networks
  • Experiments

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

  Zhang, C., Zhang, K., Yuan, Q., Zhang, L., Hanratty, T. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1305-1314 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Hidden Markov models
  • Urban planning
  • Global positioning system
  • Sampling
  • Scheduling

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

  Liu, J., Wang, C., Gao, J., Gu, Q., Aggarwal, C., Kaplan, L. & Han, J., Jan 1 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 388-396 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

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

  Open Access

  • Set theory
  • Experiments

• gIceberg: Towards iceberg analysis in large graphs

  Li, N., Guan, Z., Ren, L., Wu, J., Han, J. & Yan, X., Aug 15 2013, ICDE 2013 - 29th International Conference on Data Engineering. p. 1021-1032 12 p. 6544894. (Proceedings - International Conference on Data Engineering).

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

  • Agglomeration
  • Scalability
  • Experiments

• GeoBurst+: Effective and real-time local event detection in geo-tagged tweet streams

  Zhang, C., Lei, D., Yuan, Q., Zhuang, H., Kaplan, L., Wang, S. & Han, J., Feb 2018, In: ACM Transactions on Intelligent Systems and Technology. 9, 3, 34.

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

  • Event Detection
  • Crowdsourcing
  • Real-time
  • Disasters
  • Monitoring

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

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

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

  • Crime
  • Disasters
  • Crowdsourcing
  • Monitoring
  • Costs

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

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

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

  Open Access

  • Data storage equipment
  • mHealth
  • Metadata
  • Experiments

• Generalized decision aggregation in distributed sensing systems

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

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

  • Sensor nodes
  • Agglomeration
  • Labels
  • Sensors
  • Decision making

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

  Wan, M., Chen, X., Kaplan, L., Han, J., Gao, J. & Zhao, B., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1885-1894 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Uncertainty
  • Anomaly detection
  • Random variables
  • Probability distributions
  • Explosions

• 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

• Foreword

  Han, J., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. xix-xx

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

• Foreword

  Han, J., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. xix-xx

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

• Fast inbound top-k query for random walk with restart

  Zhang, C., Jiang, S., Chen, Y., Sun, Y. & Han, J., 2015, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015. Costa, V. S., Soares, C., Appice, A., Appice, A., Rodrigues, P. P., Costa, V. S., Soares, C., Gama, J., Jorge, A., Rodrigues, P. P., Gama, J., Costa, V. S., Jorge, A., Appice, A., Rodrigues, P. P., Gama, J., Appice, A., Soares, C., Jorge, A., Gama, J., Rodrigues, P. P., Costa, V. S., Soares, C. & Jorge, A. (eds.). Springer-Verlag Berlin Heidelberg, p. 608-624 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9285).

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

  • Restart
  • Query
  • Random walk
  • Ripple
  • Vertex of a graph

• FastHybrid: A hybrid model for efficient answer selection

  Wang, L., Tan, M. & Han, J., Jan 1 2016, COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers. Association for Computational Linguistics, ACL Anthology, p. 2378-2388 11 p. (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers).

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

  • Hybrid Model
  • Tuning
  • Deep learning
  • Information Retrieval
  • Question Answering

• FaitCrowd: Fine grained truth discovery for crowdsourced data aggregation

  Ma, F., Li, Y., Li, Q., Qiu, M., Gao, J., Zhi, S., Su, L., Zhao, B., 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. 745-754 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

  • Agglomeration
  • Statistical Models

• Facing the reality of data stream classification: Coping with scarcity of labeled data

  Masud, M. M., Woolam, C., Gao, J., Khan, L., Han, J., Hamlen, K. W. & Oza, N. C., Oct 1 2012, In: Knowledge and Information Systems. 33, 1, p. 213-244 32 p.

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

  • Supervised learning
  • Labeling
  • Learning algorithms
  • Classifiers

• FacetGist: Collective extraction of document facets in large technical corpora

  Siddiqui, T., Ren, X., Parameswaran, A. & Han, J., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 871-880 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

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

  • Graph
  • Summarization
  • Propagation
  • Business Intelligence
  • Optimization Problem

• Exploring structure and content on the web: Extraction and integration of the semi-structured web

  Weninger, T. & Han, J., 2013, WSDM 2013 - Proceedings of the 6th ACM International Conference on Web Search and Data Mining. p. 779-780 2 p.

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

  • World Wide Web
  • Websites
  • Fruits
  • Search engines

• Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks

  Deng, H., Han, J., Li, H., Ji, H., Wang, H. & Lu, Y., Jan 1 2013, Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013. Parthasarathy, S., Ghosh, J., Zhou, Z-H., Dy, J., Obradovic, Z. & Kamath, C. (eds.). Siam Society, p. 378-386 9 p. (Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013).

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

  • Sentiment Analysis
  • Heterogeneous Networks
  • Sentiment analysis
  • Heterogeneous networks
  • Dissimilarity

• Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks

  Deng, H., Han, J., Li, H., Ji, H., Wang, H. & Lu, Y., Aug 2014, In: Statistical Analysis and Data Mining. 7, 4, p. 308-321 14 p.

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

  • Sentiment Analysis
  • Heterogeneous Networks
  • Sentiment analysis
  • Heterogeneous networks
  • Dissimilarity

• EventCube: Multi-dimensional search and mining of structured and text data

  Tao, F., Lei, K. H., Han, J., Zhai, C. X., Cheng, X., Danilevsky, M., Desai, N., Ding, B., Ge, J., Ji, H., Kanade, R., Kao, A., Li, Q., Li, Y., Lin, C. X., Liu, J., Oza, N., Srivastava, A., Tjoelker, R., Wang, C. & 2 others, Zhang, D. & Zhao, B., 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. 1494-1497 4 p. 2487718. (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

  • Aviation
  • Data mining
  • Specifications