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中文摘要：
随着电子商务的高速发展，互联网、无线网络、移动网络的大面积覆盖，电子商务不仅潜移默化地影响着传统的商业模式，而且产生海量的Web数据，成为目前新的研究热点。电子商务“大数据”中隐藏的巨大的价值与Web数据挖掘技术在数据分析方面的作用使得二者自然的结合在一起。Web数据挖掘在电商巨量数据的分类、聚类、数据解释等方面发展迅速，与此同时，Web数据挖掘仍面临数据复杂性、计算复杂性、系统复杂性等方面的挑战。
英文摘要：
With the rapid development of electronic commerce, and the large coverage of Internet, wireless network and mobile network, electronic commerce becomes the new research hotpots, which not only influences subtly by environment of the traditional business model but also produces an enormous amount of Web data. The huge value under the big data of electronic commerce and the effect of data mining tech-nology in the data analysis makes them get together naturally. With the rapid development of the data mining technology in the classifica-tion, cluster, data interpretation of electronic commerce massive data. It still faces some challenges as complexity of data, computation and system at the same time.
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