Titlebook: Distributed Computing in Big Data Analytics; Concepts, Technologi Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandr Book 2017 Springer Int

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Utilizing Big Data Analytics for Automatic Building of Language-agnostic Semantic Knowledge Bases,matic techniques such as clustering or dimensionality reduction to discover latent semantic links within the content of a given corpus. The former is very labor intensive and is hard to maintain, while the latter is prone to noise and may be hard for a human to understand or to interact with directl

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Scientific Computing and Big Data Analytics: Application in Climate Science,e delve into the details of how significantly large-sized data from the output of a complex fluid dynamics based Earth’s Climate Model can be processed using Distributed Technology framework, Spark, in an integrated manner with the final analytics results accessed by an web application for the end u

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Distributed Computing in Social Media Analytics,le industries where organizations are using aggregate social polling as input to demand forecasting solutions. Data for social analytics is largely unstructured and the social graph is massive. As a result, the choice of analytics techniques can have an enormous impact on the quality of the results

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2520-8632 ata analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principle978-3-319-86713-7978-3-319-59834-5Series ISSN 2520-8632 Series E-ISSN 2364-9496

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