Multi Scale Hashing Access in Multi-Dimensional Datasets using Bootstrapping
S. Jayaprada1, J. Ranga Rao2, M. Srilatha3
1S. Jayaprada, Department of Computer Science & Engineering, Gudlavalleru Engineering College Autonomous, Gudlavalleru (Andhra Pradesh), India.
2J. Ranga Rao, Department of Computer Science & Engineering, V.R. Siddhartha Engineering College Autonomous, Vijayawada (Andhra Pradesh), India.
3M. Srilatha, Department of Computer Science & Engineering, V.R. Siddhartha Engineering College Autonomous, Vijayawada (Andhra Pradesh), India.
Manuscript received on 14 October 2019 | Revised Manuscript received on 23 October 2019 | Manuscript Published on 02 November 2019 | PP: 2170-2174 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B12300982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1230.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The query is the most widely used in many applications. Computation of multi-dimensional dataset is more complication by using existing algorithms. Showing the spatial results by using the multi-dimensional dataset is implemented in this paper. The existing system ProMiSH (Projection and Multi Scale Hashing) is not performed based on the keyword query searching. The proposed system Ensemble approach with bootstrapping algorithm shows better results. The implementation is done with a spatial dataset with a location-based query keyword search done in the proposed system.
Keywords: NKS Querying, Multi-dimensional Data, Indexing, ProMiSH , Bootstrapping.
Scope of the Article: Optical and High-Speed Access Networks