Data Replication Using Data Mining Techniques

Authors

  • P. Elango Research Scholar, Department of Computer Science, Gobi Arts & Science College, Tamil Nadu, India
  • K. Kuppusamy Professor & Head, Department of Computer Logistics, Alagappa University, Tamil Nadu, India
  • N. Prabhu Assistant Professor, Department of Computer Science, Gobi Arts & Science College, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.S1.1939

Keywords:

Component, Data Replication, Data Mining

Abstract

Database Replication is the successive electronic duplicating of information from a database in one PC or server to a database in another with the goal that all clients share a similar dimension of data. The outcome is a conveyed database in which clients can get to information significant to their assignments without meddling with crafted by others. Anyway information replication is an entrancing theme for both hypothesis and practice. On the hypothetical side, numerous solid outcomes requirement what should be possible as far as consistency: e.g., the difficulty of achieving agreement in offbeat frameworks the blocking idea of CAP hypothesis, and the requirement for picking an appropriate rightness foundation among the numerous conceivable. On the pragmatic side, information replication assumes a key job in a wide scope of settings like storing, back-up, high accessibility, wide territory content dissemination, expanding versatility, parallel preparing, and so forth. Finding a replication arrangement that is reasonable in whatever number such settings as could reasonably be expected remains an open test.

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Published

23-02-2019

How to Cite

Elango, P., Kuppusamy, K., & Prabhu, N. (2019). Data Replication Using Data Mining Techniques. Asian Journal of Computer Science and Technology, 8(S1), 107–109. https://doi.org/10.51983/ajcst-2019.8.S1.1939