Nature-inspired computation in data mining and machine learning. ([2020])

• Record Type: Book
• Further Information: Note: Xin-She Yang, Xing-Shi He, editors.
• Editors: Yang, Xin-She; He, Xing-Shi
• Contents: Adaptive Improved Flower Pollination Algorithm for Global Optimization.- Algorithms for Optimization and Machine Learning over Cloud.- Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks.- Comparative analysis of different classifiers on crisis-related tweets: An elaborate study.- An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm.- Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Extent: 1 online resource (xi, 273 pages), illustrations (some color)
• Subjects: 006.38; Natural computation; Data mining; Machine learning; Electronic books
• Languages: English
• ISBNs: 9783030285531; 3030285537
• Related ISBNs: 9783030285524
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed September 9, 2019).
• 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.