PESCHEL, Jakub and Pavel ZEZULA. ADAMiSS: Advanced Data Analysis, Mining and Search, System. In Similarity Search and Applications: 12th International conference, SISAP 2019, Newark, New Jersey, USA, October 2-4, 2019, Proceedings. Cham: Springer International Publishing, 2019, p. 351-355. ISBN 978-3-030-32046-1. |
Other formats:
BibTeX
LaTeX
RIS
@inproceedings{40945, author = {Peschel, Jakub and Zezula, Pavel}, address = {Cham}, booktitle = {Similarity Search and Applications: 12th International conference, SISAP 2019, Newark, New Jersey, USA, October 2-4, 2019, Proceedings}, keywords = {data analysis;pattern mining;similarity search;advanced data types}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Cham}, isbn = {978-3-030-32046-1}, pages = {351-355}, publisher = {Springer International Publishing}, title = {ADAMiSS: Advanced Data Analysis, Mining and Search, System}, year = {2019} }
TY - JOUR ID - 40945 AU - Peschel, Jakub - Zezula, Pavel PY - 2019 TI - ADAMiSS: Advanced Data Analysis, Mining and Search, System PB - Springer International Publishing CY - Cham SN - 9783030320461 KW - data analysis;pattern mining;similarity search;advanced data types N2 - The complexity of contemporary data warrants a need for better analysing tools in investigative areas. Human processing of data is no longer a viable option. We present an architecture of a novel universal system for analysis of graph-structured data, where data-mining and similarity-search operators can be used to discover or search for unknown information. We also present results that were obtained by our prototype implementation on two real-world data collections: the Twitter Higg's boson dataset and the Kosarak dataset. ER -
PESCHEL, Jakub and Pavel ZEZULA. ADAMiSS: Advanced Data Analysis, Mining and Search, System. In \textit{Similarity Search and Applications: 12th International conference, SISAP 2019, Newark, New Jersey, USA, October 2-4, 2019, Proceedings}. Cham: Springer International Publishing, 2019, p.~351-355. ISBN~978-3-030-32046-1.
|