ATD4MA:多属性数据的联合真值发现方法.

The current truth discovery method cannot solve the case where the object is composed of many single-valued attributes and multi-valued attributes. Separate processing of these attributes will destroy the original association between attributes, resulting in inaccurate results . This paper proposed an ATD4MA algorithm. It modeled the observation values of the object using the chromosomes in the genetic algorithm. Then it improved the population initialization algorithm and the basic action of the chromosome according to the problem characteristics. By controlling the evolution behavior of chromosomes, it established the optimization model to minimize the weighted sum of difference between the truth-value chromosomes of each object and the ob served values provided by each data source. Therefore it solved the problem of truth discovery where the object contained multiple attributes. Experiments on two real data sets show the correctness and effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]