ADAMiSS: Advanced Data Analysis, Mining and Search, System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00108315" target="_blank" >RIV/00216224:14330/19:00108315 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-32047-8_31" target="_blank" >http://dx.doi.org/10.1007/978-3-030-32047-8_31</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-32047-8_31" target="_blank" >10.1007/978-3-030-32047-8_31</a>
Alternative languages
Result language
angličtina
Original language name
ADAMiSS: Advanced Data Analysis, Mining and Search, System
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VI20172020096" target="_blank" >VI20172020096: Complex Analysis and Visualization of Large-scale Heterogeneous Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Similarity Search and Applications: 12th International conference, SISAP 2019, Newark, New Jersey, USA, October 2-4, 2019, Proceedings
ISBN
9783030320461
ISSN
0302-9743
e-ISSN
—
Number of pages
5
Pages from-to
351-355
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Newark, New Jersey, USA
Event date
Oct 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000616391700031