ADAMiSS: Advanced Data Analysis, Mining and Search, System

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Authors

PESCHEL Jakub ZEZULA Pavel

Year of publication 2019
Type Article in Proceedings
Conference Similarity Search and Applications: 12th International conference, SISAP 2019, Newark, New Jersey, USA, October 2-4, 2019, Proceedings
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1007/978-3-030-32047-8_31
Keywords data analysis;pattern mining;similarity search;advanced data types
Attached files
Description 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.
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