An efficient approach to predict emergency calls and locations

  • Authors

    • G V.S. Narayana
    • T Venkatesh
    • P Mourya
    • B Ramya
    2018-04-18
    https://doi.org/10.14419/ijet.v7i2.20.11749
  • Big data, Hadoop, K-Nearest neighbour (KNN), map reduce, support vector model (SVM).
  • Big data stands for huge set or collecting information which can't be prepared by modern techniques, for example, data processing. Ex- mining enormous information has the quality in the arena of interpersonal organizations, spot business patterns, web, drug, science, fund, commerce informatics and indeed in government. Dissecting information would assistance in extraordinary basic leadership, which may achieve change happening productivity, diminishment in cost and disappointment dangers. Enormous information examination turns into an awesome hunger for the creating associations since it winds up plainly troublesome for those associations to process a excess of tera bytes of information. Huge information investigation even discovers its request in considerate the purpose behind regular or man influenced failures by gathering enormous information keeping in observance conclusion to recuperate from the catastrophe and to develop the correspondence since correspondence is the primary test that the common people face while confronting sudden failures..

     

     

  • References

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  • How to Cite

    V.S. Narayana, G., Venkatesh, T., Mourya, P., & Ramya, B. (2018). An efficient approach to predict emergency calls and locations. International Journal of Engineering & Technology, 7(2.20), 49-51. https://doi.org/10.14419/ijet.v7i2.20.11749