Big Data Analysis using Spark for Collision Rate near CalStateLA

Big Data Analysis using Spark for Collision Rate near CalStateLA

Shubhra Wahi

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Manik Katyal

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Parag Chhadva

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Jongwook Woo

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California State University Los Angeles

Big Data Analysis using Spark for Collision Rate near CalStateLA

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(C40.). SWITRS Dataset.
(2024). Chatting with <scp>GitHub</scp> Copilot.
Sameer Wadkar,Madhu Siddalingaiah (2014). Monitoring Hadoop.
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Python Programming Guide.
Pramod Singh (2019). Introduction to Spark.
Spark SQL Programming Guide.
M Cameron (2005). Unknown Title.
(2011). Special technical session on high performance computing for pattern recognition at the 1998 international conference on parallel and distributed processing techniques and applications (PDPTA'98), July 13–16, 1998, Las Vegas, Nevada, USA Call for Papers.
(2013). Market Basket Analysis Algorithms with Map Reduce.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Shubhra Wahi. 2017. \u201cBig Data Analysis using Spark for Collision Rate near CalStateLA\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 16 (GJCST Volume 16 Issue H4).

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GJCST Volume 16 Issue H4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

C.2.1

C.2.3

Submission ReceivedDecember 8, 2015
Peer Review Double Blind
Handling Editor
Accepted January 5, 2016
Published January 15, 2016

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v1.2

Issue date

January 25, 2017

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Article Matrices

Total Score: 134

Country: United States

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Manik Katyal, Parag Chhadva, Shubhra Wahi, Jongwook Woo (PhD/Dr. count: 0)

View Count (all-time): 313

Total Views (Real + Logic): 7033

Total Downloads (simulated): 1748

Publish Date: 2017 01, Wed

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Total Views: 7033

Total Downloads: 1748

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