Comparatively Analysis of Fix and Dynamic Size Frequent Pattern Discovery Methods Using in Web Personalisation

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Provided by: Interscience Open Access Journals
Topic: Data Management
Format: PDF
In this paper, the authors study and analysis of two methods of data mining. One is fix sized pattern discovery and second method dynamic size pattern discovery method. A fixed sized pattern discovery method is a prori method. Which is also called step by step frequent pattern mining. And variable size pattern discovery have lots of method. They discuss in this paper k-Nearest Neighbors method to search closed frequent pattern discovery. And then discuss Web personalization process which is application of data mining. They present analysis of two algorithms of data mining are used particularly for web personalization, including the technique of clustering, association rule mining, sequential pattern mining and best first search technique.
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