关键词: 数据归约, 效果评估, 用户兴趣度, 蒙特卡洛仿真

Abstract: Facing with specific data reduction method, the users have different evaluations on effectiveness of reduction. In view of the current data reduction effectiveness evaluation method is lack of pertinence and ignoring the personalized needs of users, using the existing index system, an evaluation method of data reduction effectiveness based on user’s interest degree is proposed. The method defines the weight baryon space of the user interest degree, calculates the user’s preference for the index, according to the historical data of the user’s evaluation of data set reduction. The acceptable degree for effectiveness of reduction is calculated approximately using the Monte Carlo simulation, as a parameter to evaluate the reduction effect. It implements the method about effectiveness of data reduction for users, and provides a quantitative basis for recommending data reduction method for system users focusing on different indicators.

Key words: data reduction, effectiveness evaluation, user interest degree, Monte Carlo simulation