Abstract:
A method of searching a pattern in sequence data includes setting a plurality of interest pattern models each including an interest pattern length, an allowed mismatch value, and a minimum support; calculating a support of a candidate pattern that is generable within the interest pattern length based on the allowed mismatch value of at least one of the plurality of interest pattern models; and determining whether the support of the candidate pattern fulfills a condition of the minimum support of at least one of the plurality of interest pattern models.
Abstract:
A method of searching a pattern in sequence data includes setting a plurality of interest pattern models each including an interest pattern length, an allowed mismatch value, and a minimum support; calculating a support of a candidate pattern that is generable within the interest pattern length based on the allowed mismatch value of at least one of the plurality of interest pattern models; and determining whether the support of the candidate pattern fulfills a condition of the minimum support of at least one of the plurality of interest pattern models.
Abstract:
An apparatus and a method for efficiently processing multiple continuous aggregate queries in data streams are provided. The apparatus includes a first operation result sharing unit configured to generate a common window including first aggregate areas, and store a first operation result of each of the multiple continuous aggregate queries for each of the first aggregate areas. The apparatus further includes a second operation result sharing unit configured to determine a second aggregate area including at least one of the first aggregate areas, and store a second operation result of each of the multiple continuous aggregate queries for the second aggregate area. The apparatus further includes a query processing unit configured to process the multiple continuous aggregate queries based on the first operation result and the second operation result.
Abstract:
A clustering apparatus of probabilistic graphs, includes a center selection unit configured to select one or more centers among the probabilistic graphs. The clustering apparatus further includes a center determination unit configured to calculate a minimum bound and a maximum bound of a distance with respect to each of the centers, for each of the probabilistic graphs, and determine a center, among the centers, to which the probabilistic graphs are to be allocated based on the minimum and maximum bounds. The clustering apparatus further includes a clustering unit configured to allocate the probabilistic graphs to the center to generate one or more clusters.