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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Complex Data Analytics with Formal Concept Analysis

Complex Data Analytics with Formal Concept Analysis

Missaoui, Rokia
Kwuida, Léonard
Abdessalem, Talel

Hardcover

DatabasesGeneral ComputersProbability & Statistics

ISBN10: 303093277X
ISBN13: 9783030932770
Publisher: Springer
Published: Jun 30 2022
Pages: 260
Weight: 1.28
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
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.

Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge.

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