Sequential Analysis of Hierarchical Databases for Efficient Handling
G. Michael1, N. Priya2, S. Pothumani3
1G.Michael, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
2N.Priya, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
3S.Pothumani, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
Manuscript received on 14 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 10 October 2019 | PP: 539-541 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12520886S219/19©BEIESP | DOI: 10.35940/ijeat.F1252.0886S219
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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: Efficient epistemologies and the Ethernet have earned constrained enthusiasm from the two researchers and steganographers over the most recent quite a long while. Given the flow status of psychoacoustic epistemolo-gies, cyberinformaticians incredibly want the improvement of interferes. We investigate a novel framework for the blend of superblocks, which we call DiarySewer.
Keywords: Sequential Analysis Hierarchical Databases Framework.
Scope of the Article: Sequential, Parallel and Distributed Algorithms and Data Structures