ADAMiSS: Advanced Data Analysis, Mining and Search, System


This publication doesn't include Institute of Computer Science. It includes Faculty of Informatics. Official publication website can be found on



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

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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