0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence

Buy Now

Complex Data Analytics with Formal Concept Analysis (Hardcover, 1st ed. 2022) Loot Price: R4,477
Discovery Miles 44 770
Complex Data Analytics with Formal Concept Analysis (Hardcover, 1st ed. 2022): Rokia Missaoui, Leonard Kwuida, Talel Abdessalem

Complex Data Analytics with Formal Concept Analysis (Hardcover, 1st ed. 2022)

Rokia Missaoui, Leonard Kwuida, Talel Abdessalem

 (sign in to rate)
Loot Price R4,477 Discovery Miles 44 770 | Repayment Terms: R420 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: July 2022
First published: 2022
Editors: Rokia Missaoui • Leonard Kwuida • Talel Abdessalem
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 260
Edition: 1st ed. 2022
ISBN-13: 978-3-03-093277-0
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Promotions
LSN: 3-03-093277-X
Barcode: 9783030932770

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

African Artificial Intelligence…
Mark Nasila Paperback R350 R286 Discovery Miles 2 860
Digital Dharma - How AI Can Elevate…
Deepak Chopra Paperback R420 R299 Discovery Miles 2 990
Artificial Intelligence for Neurological…
Ajith Abraham, Sujata Dash, … Paperback R4,069 Discovery Miles 40 690
Temporal Data Mining via Unsupervised…
Yun Yang Paperback R1,199 Discovery Miles 11 990
Machine Learning and Data Mining
I Kononenko, M Kukar Paperback R1,960 Discovery Miles 19 600
Deceitful Media - Artificial…
Simone Natale Hardcover R2,515 Discovery Miles 25 150
Intelligent Communication Systems…
Nobuyoshi Terashima Hardcover R1,560 Discovery Miles 15 600
Constructions at Work - The nature of…
Adele Goldberg Hardcover R2,072 Discovery Miles 20 720
The Alignment Problem - Machine Learning…
Brian Christian Paperback R528 R458 Discovery Miles 4 580
Assembling Tomorrow - A Guide To…
Scott Doorley, Carissa Carter Hardcover R906 R770 Discovery Miles 7 700
Happimetrics - Leveraging AI to Untangle…
Peter A. Gloor Hardcover R2,906 Discovery Miles 29 060
Advanced Introduction to Artificial…
Tom Davenport, John Glaser, … Paperback R616 Discovery Miles 6 160

See more

Partners