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For the shortcoming of the traditional focused crawler, this paper proposed an improved focused crawl method which based on syntactic dependency analysis. This method generates a words collection of the text through TF-IDF algorithm and generates a phrases collection through syntactic dependency analysis firstly. Then evaluate the collection of words and phrases to select set of keywords of the text...
In order to improve the execution efficiency of Vibe algorithm in the process of background model updating, a time and space integrated method is proposed, which can not only take the advantage of previous memoryless updating strategy, but also improve the execution efficiency of the algorithm by combining both with-memory and memoryless methods. To remove the ghost in the initialization phase of...
Infrequent itemsets are very important because many valued information can be mined from them. 2L-XMMMS model, which has been mentioned in previous studies, can mine infrequent and frequent itemsets by assigning two different minimum supports to every item. But it is based on Apriori algorithm and its efficiency is not high. To improve its efficiency, we use the FP-Growth algorithm instead of Apriori...
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