Complex Data Analytics with Formal Concept Analysis
HC runder Rücken kaschiert
Print on Demand | Lieferzeit: Print on Demand - Lieferbar innerhalb von 3-5 Werktagen I
180,64 €*
Alle Preise inkl. MwSt.|Versandkostenfrei
ISBN-13:
9783030932770
Veröffentl:
2022
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
30.06.2022
Seiten:
288
Autor:
Rokia Missaoui
Gewicht:
600 g
Format:
241x160x22 mm
Sprache:
Englisch
Beschreibung:
FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining.
Covers the state of the art of the research on the intersection of FCA and complex data analysis
Chapter. 1.- Formal Concept Analysis and Extensions for Complex Data Analytics.- Chapter. 2.- Conceptual Navigation in Large Knowledge Graphs.- Chapter. 3.- FCA2VEC: Embedding Techniques for Formal Concept Analysis.- Chapter. 4.- Analysis of Complex and Heterogeneous Data using FCA and Monadic Predicates.- Chapter. 5.- Dealing with Large Volumes of Complex Relational Data using RCA.- Chapter. 6.- Computing Dependencies using FCA.- Chapter. 7.- Leveraging Closed Patterns and Formal Concept Analysis for Enhanced Microblogs Retrieval.- Chapter. 8.- Scalable Visual Analytics in FCA.- Chapter. 9.- Formal methods in FCA and Big Data.- Chapter. 10.- Towards Distributivity in FCA for Phylogenetic Data.- Chapter. 11.- Triclustering in Big Data Setting.
Kunden Rezensionen
Mehr zum Thema
Folgen Sie uns auf:
