All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Unique key Horn functions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10452154" target="_blank" >RIV/00216208:11320/22:10452154 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=mxQ8axtXsx" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=mxQ8axtXsx</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.tcs.2022.04.022" target="_blank" >10.1016/j.tcs.2022.04.022</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Unique key Horn functions

  • Original language description

    Given a relational database, a key is a set of attributes such that a value assignment to this set uniquely determines the values of all other attributes. The database uniquely defines a pure Horn function h, representing the functional dependencies. If the knowledge of the attribute values in set A determines the value for attribute v, then A -&gt; v is an implicate of h. If K is a key of the database, then K -&gt; v is an implicate of h for all attributes v. Keys of small sizes play a crucial role in various problems. We present structural and complexity results on the set of minimal keys of pure Horn functions. We characterize Sperner hypergraphs for which there is a unique pure Horn function with the given hypergraph as the set of minimal keys. Furthermore, we show that recognizing such hypergraphs is co-NP-complete already when every hyperedge has size two. On the positive side, we identify several classes of graphs for which the recognition problem can be decided in polynomial time. We also present an algorithm that generates the minimal keys of a pure Horn function with polynomial delay, improving on earlier results. By establishing a connection between keys and target sets, our approach can be used to generate all minimal target sets with polynomial delay when the thresholds are bounded by a constant. As a byproduct, our proof shows that the MINIMUM KEY problem is at least as hard as the MINIMUM TARGET SET SELECTION problem with bounded thresholds. (C) 2022 The Author(s). Published by Elsevier B.V.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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/GA19-19463S" target="_blank" >GA19-19463S: Boolean Representation Languages Complete for Unit Propagation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Theoretical Computer Science

  • ISSN

    0304-3975

  • e-ISSN

    1879-2294

  • Volume of the periodical

    922

  • Issue of the periodical within the volume

    June

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

    170-178

  • UT code for WoS article

    000850360300014

  • EID of the result in the Scopus database

    2-s2.0-85129694970