Elite Sequence Mining of Big Data using Hadoop Mapreduce

  • Authors

    • P. Amarendra Reddy
    • O Ramesh
    • . .
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.20696
  • Big data, MAPREDUCE, SVD, LSI.

  • Abstract

    Text mining can deal with unstructured information. The proposed work extricates content from a PDF report is changed over to plain content configuration; at that point record is tokenized and serialized. Record grouping and classification is finished by discovering similarities between reports put away in cloud. Comparable archives are distinguished utilizing Singular Value Decomposition (SVD) strategy in Latent Semantic Indexing (LSI). At that point comparative records are assembled together as a group. A similar report is done between LFS (Local File System) and HDFS (HADOOP DISTRIBUTED FILE SYSTEM) as for rate and dimensionality. The System has been assessed on genuine records and the outcomes are classified.

     

     

  • References

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  • How to Cite

    Amarendra Reddy, P., Ramesh, O., & ., . (2018). Elite Sequence Mining of Big Data using Hadoop Mapreduce. International Journal of Engineering & Technology, 7(4.10), 19-23. https://doi.org/10.14419/ijet.v7i4.10.20696

    Received date: 2018-10-01

    Accepted date: 2018-10-01

    Published date: 2018-10-02