Clustering methods for big data analytics : techniques, toolboxes and applications /: techniques, toolboxes and applications. ([2019])

• Record Type: Book
• Further Information: Note: Olfa Nasraoui, Chiheb-Eddine Ben N'Cir, editors.
• Editors: Nasraoui, Olfa, 1968-; N'Cir, Chiheb-Eddine Ben
• Contents: Introduction.- Clustering large scale data.- Clustering heterogeneous data.- Distributed clustering methods.- Clustering structured and unstructured data.- Clustering and unsupervised learning for deep learning.- Deep learning methods for clustering.- Clustering high speed cloud, grid, and streaming data.- Extension of partitioning, model based, density based, grid based, fuzzy and evolutionary clustering methods for big data analysis.- Large documents and textual data clustering.- Applications of big data clustering methods.- Clustering multimedia and multi-structured data.- Large-scale recommendation systems and social media systems.- Clustering multimedia and multi-structured data.- Real life applications of big data clustering.- Validation measures for big data clustering methods.- Conclusion.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 005.7; Engineering; Big data; Cluster analysis; Data mining; COMPUTERS / Data Processing; Computers -- Intelligence (AI) & Semantics; Computers -- Database Management -- Data Mining; Business & Economics -- Industries -- Computer Industry; Computers -- Computer Vision & Pattern Recognition; Artificial intelligence; Data mining; Business mathematics & systems; Pattern recognition; Telecommunication; Optical pattern recognition; Technology & Engineering -- Telecommunications; Communications engineering / telecommunications; Electronic books
• Languages: English
• ISBNs: 9783319978642; 3319978640
• Related ISBNs: 9783319978635
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed November 1, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.