Data Science and Big Data Computing
Mahmood, Zaigham
ISBN 10: 3319318594 ISBN 13: 9783319318592
Verlag: Springer International Publishing, 2016
Neu
Hardcover
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Beschreibung
Beschreibung:
Reviews the latest research and practice in data science and big dataDiscusses tools and techniques for big data storage and analyticsDescribes the frameworks relevant to data science, and their applicationProfessor Zaigham Ma. Bestandsnummer des Verkäufers 118279950
Inhaltsangabe:
This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.
Über die Autorin bzw. den Autor:
Professor Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and Associate Lecturer (Research) at the University of Derby, UK. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. Prof. Mahmood is a certified cloud computing instructor and a regular speaker at international conferences devoted to Cloud Computing and E-Government. His specialized areas of research include distributed computing, project management, and e-government. Among his many publications are the Springer titles Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.
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Bibliografische Details
Titel: Data Science and Big Data Computing
Verlag: Springer International Publishing
Erscheinungsdatum: 2016
Einband: Hardcover
Zustand: New