A4 Article in conference proceedings
Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest (2017)


Cochez, M., Terziyan, V., & Ermolayev, V. (2017). Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest. In N. T. Nguyen, R. Kowalczyk, A. M. Pinto, & J. Cardoso (Eds.), Transactions on Computational Collective Intelligencev XXVI (pp. 46-66). Springer. Lecture Notes in Computer Science, 10190. https://doi.org/10.1007/978-3-319-59268-8_3


JYU authors or editors


Publication details

All authors or editors: Cochez, Michael; Terziyan, Vagan; Ermolayev, Vadim

Parent publication: Transactions on Computational Collective Intelligencev XXVI

Parent publication editors: Nguyen, Ngoc Thanh; Kowalczyk, Ryszard; Pinto, Alexandre Miguel; Cardoso, Jorge

ISBN: 978-3-319-59267-1

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

Publication year: 2017

Number in series: 10190

Pages range: 46-66

Publisher: Springer

Place of Publication: Heidelberg

Publication country: Germany

Publication language: English

DOI: https://doi.org/10.1007/978-3-319-59268-8_3

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/55913


Keywords: ecosystems (ecology); big data; information technology

Free keywords: evolving knowledge ecosystems; locality-sensitive hashing; LSH forest; minhash; random hyperplane hashing


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 1


Last updated on 2021-09-06 at 11:41