Mathematical tools for data mining. Set theory, partial orders, combinatorics

DOI10.1007/978-1-4471-6407-4zbMath1303.68006OpenAlexW2489107970MaRDI QIDQ5891450

Dan A. Simovici, Chabane Djeraba

Publication date: 21 August 2014

Published in: Advanced Information and Knowledge Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4471-6407-4

zbMATH Keywords

clusteringgraph theorytopologydata miningset theorylinear algebramathematical foundations

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Mathematics for nonmathematicians (engineering, social sciences, etc.) (00A06) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to general topology (54-01) Data structures (68P05) Information storage and retrieval of data (68P20) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to combinatorics (05-01) Other classical set theory (including functions, relations, and set algebra) (03E20) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to measure and integration (28-01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to linear algebra (15-01) General topics in the theory of data (68P01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to ordered structures (06-01)

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