The worms' behavior item collection is described accurately by defining behavior vector structure, and the unknown worm behavior profile mining is optimized using genetic algorithms.
通过自定义行为向量构造准确描述网络蠕虫行为的项目集，并利用遗传算法优化未知蠕虫行为模式挖掘结果。
Some Suggestions are presented on customer profile data mining, recommendation systems data mining, Web personalization data mining, multimedia data mining, and buyer behavior data mining.
并且针对电子商务在顾客资料、顾客建议、个性化要求、多媒体应用、购买者的行为等方面的数据采集问题，提出了有效的应用性。
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