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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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