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Data Engineering and Intelligent Computing pp 453–461Cite as

Analysis of Different Pattern Evaluation Procedures for Big Data Visualization in Data Analysis

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

Abstract

Data visualization is the main focusing concept in big data analysis for processing and analyzing multi variate data, because of rapid growth of data size and complexity of data. Basically data visualization may achieve three main problems, i.e. 1. Structured and Unstructured pattern evaluation in big data analysis. 2. Shrink the attributes in data indexed big data analysis. 3. Rearrange of attributes in parallel index based data storage. So in this paper we analyze different techniques for solving above three problems with feasibility of each client requirement in big data analysis for visualization in real time data stream extraction based on indexed data arrangement. We have analyzed different prototypes in available parallel co-ordinate and also evaluate quantitative exert review in real time configurations for processing data visualization. Report different data visualization analysis results for large and scientific data created by numerical simulation in practice sessions analysed in big data presentation.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Dr. M.G.R Educational and Research Institute University, Chennai, India

    Srinivasa Rao Madala, V. N. Rajavarman & T. Venkata Satya Vivek

Authors
  1. Srinivasa Rao Madala
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  2. V. N. Rajavarman
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  3. T. Venkata Satya Vivek
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Corresponding author

Correspondence to Srinivasa Rao Madala .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR and Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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© 2018 Springer Nature Singapore Pte Ltd.

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Madala, S.R., Rajavarman, V.N., Venkata Satya Vivek, T. (2018). Analysis of Different Pattern Evaluation Procedures for Big Data Visualization in Data Analysis. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_44

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3222-6

  • Online ISBN: 978-981-10-3223-3

  • eBook Packages: EngineeringEngineering (R0)

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