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ERIC Number: EJ1065428
Record Type: Journal
Publication Date: 2008-Nov
Abstractor: As Provided
Reference Count: 5
Binary Coded Web Access Pattern Tree in Education Domain
Gomathi, C.; Moorthi, M.; Duraiswamy, K.
International Education Studies, v1 n4 p28-32 Nov 2008
Web Access Pattern (WAP), which is the sequence of accesses pursued by users frequently, is a kind of interesting and useful knowledge in practice. Sequential Pattern 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. 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. WAP-tree algorithm then, mines the frequent sequences from the WAP-tree by recursively re-constructing intermediate trees. In this paper, we propose efficient sequential pattern techniques called BC-WAP (Binary Coded WAP). The proposed algorithm uses Kongu Arts and Science College web logs for sequential pattern mining. It eliminates recursively reconstructing intermediate WAP trees during the mining by assigning the binary codes to each node in the WAP tree. The results of the experiments show the efficiency of the improved algorithm.
Descriptors: Database Design, Database Management Systems, Coding, Computer System Design, Data Processing, Sequential Approach, Pretesting, Computer Software, Mathematical Applications
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Publication Type: Journal Articles; Reports - Descriptive
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