The Research of Null-value Estimation Algorithm Based on Predicted Value

摘要：

Information system composed of multi-source information is usually incomplete information system, the system contains a variety of types of null values. Incomplete information system of air-missing value estimation problem, first introduced abroad to fill the existing empty value method, and compared and analyzed; Secondly, the detailed model based on the similarity between the null value estimation methods (Expectation maximization, SIM-EM), and analyzed when dealing with sparse data problems; again, a problem of sparse data for improved forecasting methods score-the predicted value based on a null value estimation algorithm (Prediction-EM) and introduce a new feature weight method; Finally, experimental results and performance of this algorithm was validated.

关键词： Data fusion Incomplete information system Null-value

作者: Huang Xiantong Zhang Jing Yang Xinfeng

作者单位: Computer Science and Technology Department Nanyang Institute of Technology Nanyang,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 38-41

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）