Student Work

Entity Resolution in Big Data

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Today, with the rapid development of technology, human entered a new era of Information Technology. Data is being transfer from paper to digital second by second. Therefore, the demand of data storage is increasing quickly. Human need a new technique to handle Big Data, that’s why Hadoop was born. However, the conflicts and duplicates of data is still happen in many cases. In this report, we will illustrate a new technique for entity resolution in big data which uses Hadoop's Map-Reduce framework.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • E-project-121615-213947
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Year
  • 2015
Date created
  • 2015-12-16
地点
  • Boylston
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