关键词: 大数据, 信息处理, 分类问题

Abstract: Aiming at the weak ability to process the multi-categories of complex information in big data processing, this paper proposes a classification method of multi-categories complex information based on granularity transformation. First it introduces the decision attribute into the classification, gets the reduction set group of multi-categories classification attribute by calculating the value of decision class and broad-sense decision class of each category; then calculating respectively the complex comparability of each classification object based on the set group; in the end, fulfilling the automatic classification of the object based on result of complex comparability calculating. The results of contrast emulate experimentation show that system based on this kind of method gets better obviously precision ratio and recall ratio than that of traditional system.

Key words: big data, information processing, classification problem