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Více informací o knize Data Science and Big Data Computing

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• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer hardware Network hardware

• Plný název: Data Science and Big Data Computing
• Podnázev: Frameworks and Methodologies
• Autor: Zaigham Mahmood
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 319
• EAN: 9783319318592
• ISBN: 3319318594
• ID: 02950039
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 684 g
• Rozměry: 166 × 243 × 25 mm
• Datum vydání: 06. July 2016

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