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