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Zaigham . Ed(S): Mahmood - Data Science and Big Data Computing - 9783319318592 - V9783319318592
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Data Science and Big Data Computing

€ 155.71
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Description for Data Science and Big Data Computing Hardback. Editor(s): Mahmood, Zaigham. Num Pages: 340 pages, 68 black & white illustrations, biography. BIC Classification: UKN; UNF. Category: (G) General (US: Trade). Dimension: 166 x 243 x 25. Weight in Grams: 684.
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; ... Read more

Product Details

Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
340
Condition
New
Number of Pages
319
Place of Publication
Cham, Switzerland
ISBN
9783319318592
SKU
V9783319318592
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Zaigham . Ed(S): Mahmood
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 ... Read more

Reviews for Data Science and Big Data Computing
“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)

Goodreads reviews for Data Science and Big Data Computing


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