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Review Papers | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015
Review on Relevant Top-k Neighbor Search with Keywords
Sonali B. Gosavi, Shyamrao V. Gumaste
Internet has became most integral part of todays modern era. Need for having required information on fingertip creating new challenges in engineering and technology world. As data size is increasing providing required information which can satisfy users criteria is tedious job. Data mining help to process such huge data. Using these techniques people can access information like stores, hospitals, technical information, books etc. but todays trend is changing an along with just information people need geographical information too so they can reach particular shop or hospital. Todays applications also required to process such queries which need to satisfy both textual as well as spatial information need of user. For example instead of searching the hospital only, one can search the hospital having particular specialist doctors, no. of words, etc. To satisfy such queries the solution that is been used is the IR2-tree, but IR2-tree is having some pitfalls hence an alternative to this is to use WIBR- Tree which is capable to handle multidimensional data and process nearest neighbor queries with s.
Keywords: Nearest neighbor search, search, spatial inverted index, WIBR-tree, IR2-tree
Edition: Volume 4 Issue 4, April 2015
Pages: 777 - 780
How to Cite this Article?
Sonali B. Gosavi, Shyamrao V. Gumaste, "Review on Relevant Top-k Neighbor Search with Keywords", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB153004, Volume 4 Issue 4, April 2015, 777 - 780
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