摘要:
The present invention provides a method for updating betweenness centrality of a graph, which obtains the betweenness centrality of an unweighted graph, which is updated when edges are updated. First of all, the method is performed by obtaining a minimum union cycle (an MUC) of the updated graph, and extracting an MUC (MUCU) containing a vertex, which is incident to the updated edge. And a first betweenness centrality due to the shortest paths in the MUCU, and a second betweenness centrality due to the shortest paths, not included in the MUCU, are calculated. And finally, a final betweenness centrality of the graph is obtained by adding the first and second betweenness centralities. By using the method, the search space and calculation cost can be remarkably reduced.
摘要:
Provided are a method which stores data using a path encoding scheme and a region numbering scheme for supply chain management using RFID, a method which processes queries about data stored by the data storage method, and a data management system which manages data for the management of the supply chain using RFID by the data storage method and the query processing method. A massive amount of RFID data generated in supply chain management using the RFID can effectively be stored, and information of the movement path of any product can be obtained from the stored data easily and quickly.
摘要:
A method and apparatus for performing queriable XML compression and queries related to a compressed XML document are disclosed. In the method, information, including at least the frequencies of the respective tags of XML data, the type information of data values and data value-related statistical information is collected. Thereafter, the type information of data values of elements is inferred according to tags using an automatic data type inference engine algorithm. Reverse arithmetic encoding is performed on the tags and paths of elements. The data values are encoded based on the inferred type information.
摘要:
Vectors representing objects in n-dimensional space are approximated by local polar coordinates on partitioned cells of the data space in response to a query, e.g., a query data vector entered with a request to find “k” nearest neighbors to the query vector. A set of candidate near neighbors is generated using the approximations, with the local polar coordinates being independent of the dimensionality of the data space. Then, an answer set of near neighbors is returned in response to the query. Thus, the present invention acts as a filter to reduce the number of actual data vectors in the data set that must be considered in responding to the query.
摘要:
A method of processing a query about an Extensible Markup Language (XML) data. The XML query processing method includes the first step of representing the XML data in the form of an XML graph, the second step of creating and updating an Adaptive Path indEX (APEX) based on frequently used paths extracted from previously processed XML queries and the XML graph, and the third step of processing an XML query using the APEX. The XML query processing is capable of improving the performance of processing the query by extracting frequently used paths from path expressions having been used as queries for XML data and updating the APEX through the use of the frequently used paths.
摘要:
An apparatus and method for performing similarity searches using hyper-rectangle based multidimensional data segmentation partitions a data set representable by a multidimensional data sequence, such as a video stream, into segments in consideration of the temporal relationship between points, and groups similar segments in one sequence into the same cluster so as to efficiently search a database for a multidimensional data sequence similar to a given query sequence.
摘要:
A method and apparatus for performing queriable XML compression and queries related to a compressed XML document are disclosed. In the method, information, including at least the frequencies of the respective tags of XML data, the type information of data values and data value-related statistical information is collected. Thereafter, the type information of data values of elements is inferred according to tags using an automatic data type inference engine algorithm. Reverse arithmetic encoding is performed on the tags and paths of elements. The data values are encoded based on the inferred type information.
摘要:
Disclosed is a multi-dimensional selectivity estimation method using compressed histogram information which the database query optimizer in a database management system uses to find the most efficient execution plan among all possible plans. The method includes the several steps to generate a large number of small-sized multi-dimensional histogram buckets, sampling DCT coefficients which have high values with high probability, compressing information from the multi-dimensional histogram buckets using a multi-dimensional discrete cosine transform(DCT) and storing compressed information, and estimating the query selectivity by using compressed and stored histogram information as the statistics.
摘要:
The present invention provides a method for updating betweenness centrality of a graph, which obtains the betweenness centrality of an unweighted graph, which is updated when edges are updated, the method comprising the steps of: obtaining a minimum union cycle (an MUC, a subset of edges of the graph in which every vertex of the graph is incident to an even number of edges) of the updated graph; extracting an MUC (i.e., an MUCU) containing a vertex, which is incident to the updated edge, and calculating the betweenness centrality (i.e., local betweenness centrality) due to the shortest paths (internal paths) in the MUCU; obtaining the betweenness centrality (an increase of an external path) due to the shortest paths of the graph, which are not included in the MUCU; and calculating the betweenness centrality of the graph by adding the increase of the external path to the local betweenness centrality.
摘要:
Vectors representing objects in n-dimensional space are approximated by local polar coordinates on partitioned cells of the data space in response to a query, e.g., a query data vector entered with a request to find “k” nearest neighbors to the query vector. A set of candidate near neighbors is generated using the approximations, with the local polar coordinates being independent of the dimensionality of the data space. Then, an answer set of near neighbors is returned in response to the query. Thus, the present invention acts as a filter to reduce the number of actual data vectors in the data set that must be considered in responding to the query.