Bloom filters can be used for approximate data synchronization as in Byers et al. (2004). Counting Bloom filters can be used to approximate the number of differences between two sets and this approach is described in Agarwal & Trachtenberg (2006).
Other articles related to "data synchronization, data, synchronization, synchronizations":
... A distinctly different (but related) concept is that of data synchronization ... This refers to the need to keep multiple copies of a set of data coherent with one another ... Examples include File synchronization, such as syncing a hand-held MP3 player to a desktop computer ...
... Then data synchronization is the process of reducing edit distance between and, up to the ideal distance of zero ... This is applied in all filesystem based synchronizations (where the data is ordered) ... to transform the problem to one of unordered data through a process known as shingling (splitting the strings into shingles) ...
Famous quotes containing the word data:
“To write it, it took three months; to conceive it three minutes; to collect the data in itall my life.”
—F. Scott Fitzgerald (18961940)