Complex Data Analytics with Formal Concept Analysis
Rokia Missaoui, Léonard Kwuida, Talel Abdessalem

Informasi Umum

Kode

23.21.1665

Klasifikasi

005.7 - Data in Computer Systems

Jenis

Buku - Elektronik (E-Book)

Subjek

Data Analytics

No. Rak

3

Dilihat

12 kali

Informasi Lainnya

Abstraksi

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.

This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Pengarang

Nama	Rokia Missaoui, Léonard Kwuida, Talel Abdessalem
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	Springer Cham
Kota	New York
Tahun	2022

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

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