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<dc:title xml:lang="pl"><![CDATA[ASA-graphs for efficient data representation and processing]]></dc:title>
<dc:creator><![CDATA[Horzyk, Adrian]]></dc:creator>
<dc:creator><![CDATA[Bulanda, Daniel]]></dc:creator>
<dc:creator><![CDATA[Starzyk, Janusz A.]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[self-balancing trees]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[self-sorting trees]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[self-aggregating data structures]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[associative structures]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[graphs]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[data access efficiency]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[representation of relationships]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Fast discovering of various relationships in data is an important feature of modern data mining, cognitive, knowledge-based, and explainable AI systems, including deep neural networks. The ability to represent a rich set of relationships between stored data and objects is essential for fast inferences, finding associations, representing knowledge, and extracting useful patterns or other pieces of information.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[This paper introduces self-balancing, aggregating, and sorting ASA-graphs for efficient data representation in various data structures, databases, and data mining systems. These graphs are smaller and use more efficient algorithms for searching, inserting, and removing data than the most commonly used self-balancing trees. ASA-graphs also automatically aggregate and count all duplicates of values and represent them by the same nodes, connecting them in order, and simultaneously providing very fast data access based on a binary search tree approach.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The proposed ASA-graph structure combines the advantages of sorted lists, binary search trees, B-trees, and B+trees, eliminating their weaknesses. Our experiments proved that the ASA-graphs outperform many commonly used self-balancing trees.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Korbicz, Józef (1951- ) - red.]]></dc:contributor>
<dc:contributor><![CDATA[Uciński, Dariusz - red.]]></dc:contributor>
<dc:date><![CDATA[2020]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/86184/AMCS_2020_30_4_9.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/101262/edition/86184/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:86184]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 30, number 4 (2020)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=118]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:101262]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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