A Scalable Index for Top-k Subtree Similarity Queries

Daniel Kocher; Nikolaus Augsten

doi:10.1145/3299869.3319892

A Scalable Index for Top-k Subtree Similarity Queries

Computer Science

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

Original language	English
Title of host publication	SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data
Pages	1624-1641
Number of pages	18
ISBN (Electronic)	9781450356435
DOIs	https://doi.org/10.1145/3299869.3319892
Publication status	Published - 2019

Publication series

Name	Proceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)	0730-8078

Fields of Science and Technology Classification 2012

102 Computer Sciences

Access to Document

10.1145/3299869.3319892

https://doi.org/10.1145/3299869.3319892

Cite this

@inproceedings{faeb3eb730cc4ac4a4bab81918c4fbf6,

title = "A Scalable Index for Top-k Subtree Similarity Queries",

author = "Daniel Kocher and Nikolaus Augsten",

year = "2019",

doi = "10.1145/3299869.3319892",

language = "English",

series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",

pages = "1624--1641",

booktitle = "SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data",

}

A Scalable Index for Top-k Subtree Similarity Queries. / Kocher, Daniel ; Augsten, Nikolaus.
SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. 2019. p. 1624-1641 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

TY - GEN

T1 - A Scalable Index for Top-k Subtree Similarity Queries

AU - Kocher, Daniel

AU - Augsten, Nikolaus

PY - 2019

Y1 - 2019

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UR - http://www.mendeley.com/research/scalable-index-topk-subtree-similarity-queries

U2 - 10.1145/3299869.3319892

DO - 10.1145/3299869.3319892

M3 - Conference contribution

T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data

SP - 1624

EP - 1641

BT - SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data

ER -

A Scalable Index for Top-k Subtree Similarity Queries

Publication series

Fields of Science and Technology Classification 2012

Access to Document

Other files and links

FFTED: Fast and Flexible Tree Edit Distance

Scalable Similarity Queries over Complex Data