Mining Web Log Sequential Patterns with Position Coded Pre-Order Linked WAP-Tree

作者:C.I. Ezeife, Yi Lu

摘要

Sequential mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. An important application of sequential mining techniques is web usage mining, for mining web log accesses, where the sequences of web page accesses made by different web users over a period of time, through a server, are recorded. Web access pattern tree (WAP-tree) mining is a sequential pattern mining technique for web log access sequences, which first stores the original web access sequence database on a prefix tree, similar to the frequent pattern tree (FP-tree) for storing non-sequential data. WAP-tree algorithm then, mines the frequent sequences from the WAP-tree by recursively re-constructing intermediate trees, starting with suffix sequences and ending with prefix sequences.

论文关键词:sequential patterns, Web usage mining, WAP-tree mining, pre-order linkage, position codes, apriori techniques

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论文官网地址:https://doi.org/10.1007/s10618-005-0248-3