Big Data Technologies and Applications

• Κύριοι συγγραφείς: Furht, Borko (Συγγραφέας), Villanustre, Flavio (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Software engineering.; Computers.; Computer science > Mathematics.; Computer mathematics.; Computer Science.; Information Systems and Communication Service.; Software Engineering.; Mathematical Applications in Computer Science.

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes intr...

Πίνακας περιεχομένων:

• Introduction to Big Data
• Big Data Analytics
• Transfer Learning Techniques
• Visualizing Big Data
• Deep Learning and Big Data
• The HPCC/ECL Platform for Big Data
• Scalable Automated Linking Technology for Big Data Computing
• Aggregated Data Analysis in HPCC Systems
• Models for Big Data
• Data Intensive Supercomputing Solutions
• Graph Processing with Massive Datasets: A KEL Primer
• HPCC Systems for Cyber Security Analytics
• Social Network Analytics: Hidden and Complex Fraud Schemes
• Modeling Ebola Spread and Using HPCC/KEL System
• Unsupervised Learning and Image Classification in High Performance Computing Cluster.