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Big Data Analytics and Visualization: Finance

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Big Data and Visual Analytics

Abstract

Big data Analytics and data science helps finance in combining business research expertise, scientific processes, quantitative analytics and system infrastructure to distill knowledge and insights from internal/external, structured/unstructured data.

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References

  1. IBM institute for business value: Analytics: The real-world use of big data in financial services: https://www.935.ibm.com/services/multimedia/Analytics_The_real_world_use_of_big_data_in_Financial_services_Mai_2013.pdf

  2. Big data analytics: What it is and why it matters? SAS https://www.sas.com/en_us/insights/analytics/big-data-analytics.html

  3. IBM How NLP is transforming financial industry: https://www.ibm.com/blogs/watson/2016/06/natural-language-processing-transforming-financial-industry-2/

  4. Customer churn prediction using improved balanced random forests by Yaya Xie A, Xiu Li A, E.W.T. Ngai, Weiyun Ying C https://pdfs.semanticscholar.org/4359/d76d3b36944553eb1d08befaf219122fbefd.pdf

  5. FICO: When is Big Data the way to customer centricity? Next generation analytic learning finds critical insights in an ocean of false clues by Dr. Andrews Jennings; http://www.fico.com/landing/pdf/67_Big_Data_Customer_Centricity_2951WP.pdf

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Authors and Affiliations

  1. The University of Alabama at Birmingham, Birmingham, AL, USA

    Shyam Prabhakar & Larry Maves

Authors
  1. Shyam Prabhakar
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  2. Larry Maves
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Corresponding author

Correspondence to Shyam Prabhakar .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas A&M University-Commerce, Commerce, Texas, USA

    Sang C. Suh

  2. Department of Electrical and Computer Engineering, The University of Alabama at Birmingham, Birmingham, Alabama, USA

    Thomas Anthony

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© 2017 Springer International Publishing AG

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Prabhakar, S., Maves, L. (2017). Big Data Analytics and Visualization: Finance. In: Suh, S., Anthony, T. (eds) Big Data and Visual Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-63917-8_13

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  • DOI: https://doi.org/10.1007/978-3-319-63917-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63915-4

  • Online ISBN: 978-3-319-63917-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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