ADAMiSS: Advanced Data Analysis, Mining and Search, System
| Authors | |
|---|---|
| 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 | |
| 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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