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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 25 Similar Profiles
Data mining Engineering & Materials Science
Semantics Engineering & Materials Science
Experiments Engineering & Materials Science
Mining Mathematics
Heterogeneous networks Engineering & Materials Science
Query processing Engineering & Materials Science
Labels Engineering & Materials Science
Processing Engineering & Materials Science

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Research Output 1985 2018

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., Jan 1 2018, PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018. 212669 ed. World Scientific Publishing Co. Pte. Ltd., p. 602-613 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Genes
Proteins
Natural language processing systems
Heterogeneous networks
Ontology

ASPEM: Embedding learning by aspects in heterogeneous information networks

Shi, Y., Gui, H., Zhu, Q., Kaplan, L. & Han, J., Jan 1 2018, p. 144-152. 9 p.

Research output: Contribution to conferencePaper

Semantics
Experiments
Statistics

Automated Phrase Mining from Massive Text Corpora

Shang, J., Liu, J., Jiang, M., Ren, X., Voss, C. R. & Han, J., Oct 1 2018, In : IEEE Transactions on Knowledge and Data Engineering. 30, 10, p. 1825-1837 13 p., 8306825.

Research output: Contribution to journalArticle

Taxonomies
Linguistics
Labeling

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, Vol. 2018-Febuary. p. 468-476 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Curricula
Stars

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Taxicabs
Heterogeneous networks
Experiments
Information networks
Modeling