Synchronization of Files with Effective Transmission Framework
Puja Shitole,  Prof.Archana Jadhav,  Ashwini Gore,  Meghana Surve,  Neha Mule
In recent years, there has been an explosion of interest in mining time series databases. As with most computer science problems, representation of the data is the key to efficient and effective solutions. One of the most commonly used representations is piecewise linear approximation. This representation has been used by various researchers to support clustering, classification, indexing and data sharing approach of time series data. A variety of algorithms have been proposed to obtain this representation, with several algorithms having been independently rediscovered several times.
In this project, we undertake the first extensive review and empirical comparison of all proposed techniques. We show that all these algorithms have fatal flaws from a data sharing perspective. We introduce a novel algorithm that we empirically show to be superior to all others in the literature.
Keywords- Two-way communication, deletion channel, insertions and deletions, synchronization, edits, coding for synchronization, sync, practical protocols.
Cite this Article
Puja Shitole,  Prof.Archana Jadhav,  Ashwini Gore,  Meghana Surve,  Neha Mule,   "Synchronization of Files with Effective Transmission Framework"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 2, pp.267-272, May 2019, Available at :http://www.ijedr.org/papers/IJEDR1902053.pdf