• Produktbild: Data Science and Big Data Computing
  • Produktbild: Data Science and Big Data Computing

Data Science and Big Data Computing Frameworks and Methodologies

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.07.2016

Abbildungen

XXI, 319 p. 68 illus.

Herausgeber

Zaigham Mahmood

Verlag

Springer

Seitenzahl

319

Maße (L/B/H)

24,1/16/2,5 cm

Gewicht

682 g

Auflage

1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-31859-2

Beschreibung

Rezension

“This title presents recent research and future trends in the area of big data. … It will be of value to students and researchers looking for research topics and to data scientists exploring ongoing work in the field of big data. Summing Up: Recommended. Graduate students; faculty and professionals.” (C. Tappert, Choice, Vol. 54 (7), March, 2017)

Portrait


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
.



Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.07.2016

Abbildungen

XXI, 319 p. 68 illus.

Herausgeber

Zaigham Mahmood

Verlag

Springer

Seitenzahl

319

Maße (L/B/H)

24,1/16/2,5 cm

Gewicht

682 g

Auflage

1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-31859-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Data Science and Big Data Computing
  • Produktbild: Data Science and Big Data Computing

  • Part I: Data Science Applications and Scenarios
    .- An Interoperability Framework and Distributed Platform for Fast Data Applications.- Complex Event Processing Framework for Big Data Applications.- Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios.- Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective.- 
    Part II: Big Data Modelling and Frameworks
    .- A Unified Approach to Data Modelling and Management in Big Data Era.- Interfacing Physical and Cyber Worlds: A Big Data Perspective.- Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data.- An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data Repositories.- 
    Part III: Big Data Tools and Analytics
    .- Large Scale Data Analytics Tools: Apache Hive, Pig and HBase.- Big Data Analytics: Enabling Technologies and Tools.- A Framework for Data Mining and Knowledge Discovery in Cloud Computing.- Feature Selection for Adaptive Decision Making in Big Data Analytics.- Social Impact and Social Media Analysis Relating to Big Data.