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An Efficient Approach for Search Engine Using KNN Search

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  • Vignesh V
  • Suganth R
  • Ramesh Kannan C

Abstract

Data mining techniques are the result of a long process of research and product development. This evolution began when business data were first stored on computers, continued with improvements in data access, and more recently, generated technologies that allow users to navigate through their data in real time. Data mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery. We focus on a typical query called the KNN query. Formally, given a point-of-interest dataset P and a road network G, the KNN query reports k points such that their shortest path distances distN(q, p) from q are minimized.

Suggested Citation

  • Vignesh V & Suganth R & Ramesh Kannan C, 2016. "An Efficient Approach for Search Engine Using KNN Search," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 520-523, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622155
    Note: Article URL: https://ijsrset.com/IJSRSET1622155
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