Improvement of the Application of Web Documents Clustering Based on Frequent Itemsets
Han Chieh Chao · Modern Computer · 2009
Instead of traditional algorithm,applies a fast algorithm for mining frequent itemsets based on crossing chain to generate frequent itemsets,improves the application of the method for documents clustering based on frequent itemsets in the Web documents.By analysing and comparing with traditional algorithm,the improvement is available and makes the whole method application better performance.