Web graph compression through scalable pattern mining

Details Web graph compression through scalable pattern mining Web graph compression through scalable pattern mining

2008-01-29

2010-10-19

Ehichioya, Fred I (Department: 2156)

Data processing: database and file management or data structures

Data integrity

Fragmentation, compaction and compression

C707S790000, C707S802000, C715S205000

Reexamination Certificate

active

07818303

ABSTRACT:
A method and a processing device are provided for compressing a web graph including multiple nodes and links between the multiple nodes. Nodes of the web graph may be clustered into groups including no more than a predetermined number of nodes. A list of links of the clustered nodes may be created and sorted based on a frequency of occurrence of each of the links. A prefix tree may be created based on the sorted list of links. The prefix tree may be walked to find candidate virtual nodes. The candidate virtual nodes may be analyzed according to a selection criteria and a virtual node may be selected. The prefix tree may be adjusted to account for the selection of the virtual node and the virtual node may be added to the web graph.

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