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Intelligent web mining technique using evolutionary algorithms

机译:使用进化算法的智能Web挖掘技术

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摘要

Many conventional search engines satisfy the need of information retrieval from WWW, but the results obtained still hold a chance for refinement and accuracy. This problem of getting irrelevant results is specifically observed for complex queries i.e. queries with many key words. We propose an intelligent method for web mining based on Genetic Algorithm (GA). The results produced by conventional search engine i.e. snippets, are further processed and refined further to extract only the most relevant snippets. A significant improvement is observed in the search results by using a modified GA with additional local searching technique of Memetic Algorithm (MA).
机译:许多传统的搜索引擎都可以满足从WWW检索信息的需求,但是所获得的结果仍然有改进和准确性的机会。对于复杂的查询(即具有多个关键字的查询),尤其会观察到获得不相关结果的问题。我们提出了一种基于遗传算法(GA)的智能网络挖掘方法。常规搜索引擎(即摘要)产生的结果会得到进一步处理和完善,以仅提取最相关的摘要。通过使用改进的GA和Memetic Algorithm(MA)的附加局部搜索技术,可以在搜索结果中看到显着的改进。

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