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• Citation prediction in heterogeneous bibliographic networks

  Yu, X., Gu, Q., Zhou, M. & Han, J., Jan 1 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, p. 1119-1130 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

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

  • Experiments

• ClaimVerif: A real-time claim verification system using the web and fact databases

  Zhi, S., Sun, Y., Liu, J., Zhang, C. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2555-2558 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Data Base
  • Credibility
  • Source Credibility
  • Empirical Evaluation
  • Rumor

• Classification and adaptive novel class detection of feature-evolving data streams

  Masud, M. M., Chen, Q., Khan, L., Aggarwal, C. C., Gao, J., Han, J., Srivastava, A. & Oza, N. C., Jun 3 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 7, p. 1484-1497 14 p., 6205751.

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

  • Data mining
  • Detectors
  • Classifiers

• Classification and novel class detection in concept-drifting data streams under time constraints

  Masud, M., Gao, J., Khan, L., Han, J. & Thuraisingham, B. M., May 5 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 6, p. 859-874 16 p., 5453372.

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

  • Labels
  • Labeling
  • Time delay
  • Classifiers

• Classification with active learning and meta-paths in heterogeneous information networks

  Wan, C., Li, X., Kao, B., Yu, X., Gu, Q., Cheung, D. & Han, J., Oct 17 2015, CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 443-452 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 19-23-Oct-2015).

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

  • Active Learning
  • Information Networks
  • Classifier
  • Synergy

• Cloud-based malware detection for evolving data streams

  Masud, M. M., Al-Khateeb, T. M., Hamlen, K. W., Gao, J., Khan, L., Han, J. & Thuraisingham, B., Oct 2011, In: ACM Transactions on Management Information Systems. 2, 3, 16.

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

  • Data Streams
  • Malware
  • Classifier
  • Feature Extraction
  • Feature extraction

• Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

  Sigdel, D., Kyi, V., Zhang, A., Setty, S. P., Liem, D. A., Shi, Y., Wang, X., Shen, J., Wang, W., Han, J. W. & Ping, P., Feb 23 2019, In: Journal of visualized experiments : JoVE. 144

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

  Open Access

  • Semantics
  • Publications
  • Cloud Computing
  • Data Mining
  • Biomedical Research

• ClusCite: Effective citation recommendation by information network-based clustering

  Ren, X., Liu, J., Yu, X., Khandelwal, U., Gu, Q., Wang, L. & Han, J., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 821-830 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

  • Experiments

• 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

• ClusType: Effective entity recognition and typing by relation phrase-based clustering

  Ren, X., El-Kishky, A., Wang, C., Tao, F., Voss, C. R., 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. 995-1004 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

  • Experiments

• Co-author relationship prediction in heterogeneous bibliographic networks

  Sun, Y., Barber, R., Gupta, M., Aggarwal, C. C. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 121-128 8 p. 5992571. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Electric network analysis
  • Experiments

• Co-evolution of multi-typed objects in dynamic star networks

  Sun, Y., Tang, J., Han, J., Chen, C. & Gupta, M., Dec 1 2014, In: IEEE Transactions on Knowledge and Data Engineering. 26, 12, p. 2942-2955 14 p., 6945935.

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

  • Stars
  • Heterogeneous networks
  • Data mining
  • Scalability
  • Machine learning

• Collection-based sparse label propagation and its application on social group suggestion from photos

  Yu, J., Jin, X., Han, J. & Luo, J., Feb 1 2011, In: ACM Transactions on Intelligent Systems and Technology. 2, 2, 12.

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

  • Propagation
  • Labels
  • Classifiers
  • Feedback
  • Social Networks

• Collective topic modeling for heterogeneous networks

  Deng, H., Zhao, B. & 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. 1109-1110 2 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

  • Heterogeneous networks
  • Statistical Models

• Community distribution outlier detection in heterogeneous information networks

  Gupta, M., Gao, J. & Han, J., Oct 31 2013, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 1 ed. p. 557-573 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8188 LNAI, no. PART 1).

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

  • Outlier Detection
  • Anomaly detection
  • Heterogeneous networks
  • Community
  • Outlier

• Community trend outlier detection using soft temporal pattern mining

  Gupta, M., Gao, J., Sun, Y. & Han, J., 2012, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. PART 2 ed. p. 692-708 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7524 LNAI, no. PART 2).

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

  • Outlier Detection
  • Mining
  • Anomaly detection
  • Community
  • Trends

• Comparative document analysis for large text corpora

  Ren, X., Lv, Y., Wang, K. & Han, J., Feb 2 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 325-334 10 p. (WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining).

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

  • Semantics
  • Scalability
  • Set theory
  • Experiments

• Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection

  Gao, J., Fan, W., Turaga, D., Verscheure, O., Meng, X., Su, L. & Han, J., Aug 2 2011, 2011 Proceedings IEEE INFOCOM. p. 181-185 5 p. 5934982. (Proceedings - IEEE INFOCOM).

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

  • Anomaly detection
  • Detectors
  • Denial-of-service attack

• Constrained information-theoretic tripartite graph clustering to identify semantically similar relations

  Wang, C., Song, Y., Roth, D., Wang, C., Han, J., Ji, H. & Zhang, M., Jan 1 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3882-3889 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

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

  • Supervised learning
  • Information retrieval
  • Clustering algorithms

• Constructing and mining heterogeneous information networks from massive text

  Shang, J., Shen, J., Liu, L. & Han, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3191-3192 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

  Open Access

  • Data mining

• Constructing structured information networks from massive text corpora

  Ren, X., Jiang, M., Shang, J. & Han, J., 2019, 26th International World Wide Web Conference 2017, WWW 2017 Companion. International World Wide Web Conferences Steering Committee, p. 951-954 4 p. (26th International World Wide Web Conference 2017, WWW 2017 Companion).

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

  • Data mining

• Constructing topical hierarchies in heterogeneous information networks

  Wang, C., Liu, J., Desai, N., Danilevsky, M. & Han, J., Sep 17 2015, In: Knowledge and Information Systems. 44, 3, p. 529-558 30 p.

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

  • Heterogeneous networks
  • Clustering algorithms
  • Industry
  • Experiments

• 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

• Construction and analysis of web-based computer science information networks

  Han, J., 2011, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Proceedings. p. 1-2 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6743 LNAI).

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

  • Web-based
  • Computer science
  • Computer Science
  • Schema
  • Electric network analysis

• Construction of structured heterogeneous networks from massive text data

  Han, J., May 14 2017, Proceedings of the 2nd ACM SIGMOD Workshop on Network Data Analytics, NDA 2017. Roy, S., Bhattacharya, A. & Arora, A. (eds.). Association for Computing Machinery, Inc, 1. (Proceedings of the 2nd ACM SIGMOD Workshop on Network Data Analytics, NDA 2017).

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

  • Data Analytics
  • Heterogeneous networks
  • Big data

• Construction of web-based, service-oriented information networks: A data mining perspective (abstract)

  Han, J., Sep 6 2012, Web-Age Information Management - 13th International Conference, WAIM 2012, Proceedings. p. 17-19 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7418 LNCS).

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

  • Service-oriented
  • Web-based
  • Data Mining
  • World Wide Web
  • Data mining

• Content coverage maximization on word networks for hierarchical topic summarization

  Wang, C., Yu, X., Li, Y., Zhai, C. & Han, J., Dec 11 2013, CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. p. 249-258 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Summarization
  • Text Summarization
  • Modeling
  • Network Analysis
  • Random Walk

• Context-Aware entity morph decoding

  Zhang, B., Huang, H., Pan, X., Li, S., Lin, C. Y., Ji, H., Knight, K., Wen, Z., Sun, Y., Han, J. & Yener, B., Jan 1 2015, ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 586-595 10 p. (ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference; vol. 1).

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

  Open Access

  • Deep learning
  • Decoding
  • Communication

• Correlated multi-label feature selection

  Gu, Q., Li, Z. & Han, J., Dec 13 2011, CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. p. 1087-1096 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Feature Selection
  • Cutting Planes
  • Learning Methods
  • Classifier
  • Minimax

• CoType: Joint extraction of typed entities and relations with knowledge bases

  Ren, X., Wu, Z., He, W., Qu, M., Voss, C. R., Ji, H., Abdelzaher, T. F. & Han, J., Jan 1 2017, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 1015-1024 10 p. 3052708. (26th International World Wide Web Conference, WWW 2017).

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

  • Labels
  • Pipelines
  • Labeling
  • Experiments

• Cross-type biomedical named entity recognition with deep multi-task learning

  Wang, X., Zhang, Y., Ren, X., Zhang, Y., Zitnik, M., Shang, J., Langlotz, C. & Han, J., May 15 2019, In: Bioinformatics. 35, 10, p. 1745-1752 8 p.

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

  • Named Entity Recognition
  • Multi-task Learning
  • Recognition (Psychology)
  • Learning
  • Performance

• Cube2net: Efficient query-specific network construction with data cube organization

  Yang, C. & Han, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. Papapetrou, P., Cheng, X. & He, Q. (eds.). IEEE Computer Society, p. 1088-1089 2 p. 8955528. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2019-November).

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

  • Reinforcement learning
  • Large dataset
  • Complex networks
  • Learning algorithms
  • Pipelines

• Curriculum learning for heterogeneous star network embedding via deep reinforcement learning

  Qu, M., Tang, 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. 468-476 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

  • Curricula
  • Reinforcement learning
  • Stars

• 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

• Debiasing crowdsourced batches

  Zhuang, H., Parameswaran, A. G., Roth, D. & 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. 1593-1602 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

  • Labels
  • Crowdsourcing
  • Costs

• Demo: Distilling likely truth from noisy streaming data with Apollo

  Le, H., Wang, D., Ahmadi, H., Uddin, Y. S., Szymanski, B., Ganti, R., Abdelzaher, T., Fatemieh, O., Wang, H., Pasternack, J., Han, J., Roth, D., Adali, S. & Lei, H., Dec 19 2011, SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. p. 417-418 2 p. (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems).

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

  • Demonstrations
  • Military applications
  • Sensors
  • Disasters

• Density-based shrinkage for revealing hierarchical and overlapping community structure in networks

  Huang, J., Sun, H., Han, J. & Feng, B., Jun 1 2011, In: Physica A: Statistical Mechanics and its Applications. 390, 11, p. 2160-2171 12 p.

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

  • Community Structure
  • Shrinkage
  • Overlapping
  • Community
  • shrinkage

• Detecting multiple periods and periodic patterns in event time sequences

  Yuan, Q., Shang, J., Cao, X., Zhang, C., Geng, X. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 617-626 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Anomaly Detection
  • Periodicity
  • Scoring
  • Heuristic Algorithm
  • NP-hard

• Detecting recurring and novel classes in concept-drifting data streams

  Masud, M. M., Al-Khateeb, T. M., Khan, L., Aggarwal, C., Gao, J., Han, J. & Thuraisingham, B., 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 1176-1181 6 p. 6137334. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Labeling
  • Data storage equipment

• Detection of complexes in biological networks through diversified dense subgraph mining

  Ma, X., Zhou, G., Shang, J., Wang, J., Peng, J. & Han, J., Sep 2017, In: Journal of Computational Biology. 24, 9, p. 923-941 19 p.

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

  • Biological Networks
  • Mining
  • Protein
  • Protein Interaction Networks
  • Proteins

• Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding

  Yang, C., Zhang, C., Chen, X., Ye, J. & Han, J., Oct 24 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., p. 1404-1413 10 p. 8509379. (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

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

  • Taxicabs
  • Heterogeneous networks
  • Information Networks
  • User Experience
  • Modeling

• Differentially private data cubes: Optimizing noise sources and consistency

  Ding, B., Winslett, M., Han, J. & Li, Z., Jul 11 2011, Proceedings of SIGMOD 2011 and PODS 2011. p. 217-228 12 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Wages
  • Polynomials

• Discovering hypernymy in text-rich heterogeneous information network by exploiting context granularity

  Shi, Y., Shen, J., Li, Y., Zhang, N., He, X., Lou, Z., Zhu, Q., Walker, M., Kim, M. & Han, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 599-608 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  Open Access

  • Information Networks
  • Quality Signal
  • Graph
  • Supervision
  • Taxonomy

• Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion

  Wang, X., Zhang, Y., Li, Q., Ren, X., Shang, J. & Han, J., Nov 2019, Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. Yoo, I., Bi, J. & Hu, X. T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 496-503 8 p. 8983212. (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019).

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

  • Named Entity Recognition
  • Dictionary
  • Glossaries
  • Human
  • Corpus

• Distant meta-path similarities for text-based heterogeneous information networks

  Wang, C., Song, Y., Li, H., Sun, Y., 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. 1629-1638 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Information Networks
  • Proximity
  • Semantic Network
  • Similarity Measure
  • Intuition

• Diversified trajectory pattern ranking in geo-tagged social media

  Yin, Z., Cao, L., Han, J., Luo, J. & Huang, T., Jan 1 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. Society for Industrial and Applied Mathematics Publications, p. 980-991 12 p. (Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011).

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

  • Trajectories
  • Websites

• Doc2Cube: Allocating Documents to Text Cube Without Labeled Data

  Tao, F., Zhang, C., Chen, X., Jiang, M., Hanratty, T., Kaplan, L. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1260-1265 6 p. 8594978. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Labels
  • Competitive intelligence
  • Semantics
  • Experiments

• Document-topic hierarchies from document graphs

  Weninger, T., Bisk, Y. & Han, J., Jan 1 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 635-644 10 p. (ACM International Conference Proceeding Series).

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

  • Taxonomies
  • Experiments

• DPPred: An Effective Prediction Framework with Concise Discriminative Patterns

  Shang, J., Jiang, M., Tong, W., Xiao, J., Peng, J. & Han, J., Jul 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 7, p. 1226-1239 14 p.

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

  • Experiments

• DustDoctor: A self-healing sensor data collection system

  Khan, M. M. H., Ahmadi, H., Dogan, G., Govindan, K., Ganti, R., Brown, T., Han, J., Mohapatra, P. & Abdelzaher, T., Jun 23 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11. p. 127-128 2 p. 5779078. (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

  • Flow graphs
  • Critical infrastructures
  • Sensor data fusion
  • Data fusion
  • Sensors